Freelancers using LangChain in Gujarat

Freelancers using LangChain in GujaratFreelancers using LangChain in Gujarat

Projects People

Ahmedabad, India

Full Stack AI Engineer |AI Agents| Generative AI |Automation

Full Stack AI Engineer |AI Agents| Generative AI |Automation

Cover image for Developed an AI-powered Marketing Campaign

Developed an AI-powered Marketing Campaign Automation platform that helps businesses create, manage, and optimize marketing campaigns across multiple channels with minimal manual effort. The solution leverages Generative AI and conversational AI to streamline campaign planning, content generation, audience targeting, and performance analysis. The platform enables marketing teams to launch campaigns faster while improving engagement and conversion rates. Inspired by modern AI-driven marketing approaches that automate campaign workflows and personalized customer interactions.

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Cover image for Solara AI is an end-to-end

Solara AI is an end-to-end voicebot and web chatbot for dental practices (Live Demo: https://solara.supermia.ai/). Built using LiveKit SIP, OpenAI GPT-4o, ElevenLabs, and FastAPI, it handles inbound/outbound phone calls and website chat. It answers patient queries, checks real-time calendar availability, and books appointments on Google Calendar. Featuring noise cancellation and WebSockets, it provides sub-second voice latency and natural conversation flows to automate dental clinic scheduling 24/7.

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Cover image for Designed and developed a bilingual

Designed and developed a bilingual (English/Arabic) real-time AI Voice and Chat Agent for ILAF Insurance to automate motor accident claim reporting and document intake (POC: https://ilaf-frontend.vercel.app). Built a low-latency WebRTC voice pipeline using LiveKit Agents, OpenAI Realtime API, Silero VAD, and Deepgram. Developed an asynchronous FastAPI backend with automated Civil ID policy verification, garage assignment, multi-document uploads (Police reports, licenses, damage photos), and automated email notifications, paired with a modern React 19 frontend.

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Cover image for Developed an AI-powered Technical Interviewer

Developed an AI-powered Technical Interviewer using Tavus avatars for realistic, human-like interactions. I integrated LiveKit for video room management and agent handling, while building a FastAPI backend to handle session creation, tokens, and interview orchestration. I also worked with STT (Deepgram), TTS (Cartesia), LLMs (OpenAI/Groq), and custom voice pipelines to enable seamless real-time conversations.

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Harshil Lakhani

Automation engineer building full-stack business systems

Automation engineer building full-stack business systems

Cover image for 🚀 Built something crazy with

🚀 Built something crazy with AI… Most AI website generators give you the same thing: ❌ repetitive layouts ❌ generic designs ❌ obvious AI look So we built Autogenix 👇 An AI engine that generates fully unique websites in one click. Not templates. Every output is fresh, usable, and production-ready. ⚡ What it does: • Generates UI designs + assets • Outputs clean HTML/CSS code • Builds full single-page websites • Works with your existing backend Go from idea → working interface in seconds.

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Cover image for Most portfolio websites are dead.

Most portfolio websites are dead. 💀 Mine talks back. Instead of clicking through menus, visitors just tell my AI what they want — and it drives the entire site autonomously. Here's what it does in real time: 🟢 Scrolls to the right section on command 🟢 Mounts specific project components instantly 🟢 Captures leads — zero contact forms needed No buttons. No navigation bars. Just language. This is Generative UI. And I think it's what every e-commerce store and SaaS product will look like in 2 years. We keep building chatbots that spit out text. But the real unlock is giving AI control over the UI itself. Human language replacing the mouse click — that's the shift. 🔗 Live site in the comments. Go boss the AI around. What would YOU build if your UI responded to language instead of clicks? Drop it below 👇

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Cover image for AutogeniX | Website Generation Automation

AutogeniX | Website Generation Automation | 50+ Website Generated

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Cover image for Add a website Chatbot (Basic

Add a website Chatbot (Basic or RAG) — FAQ, Tool-calls & Integrations

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Himanshu Vaghela

proAhmedabad, India

I build AI systems & tech solutions for businesses.

6: Followers

I build AI systems & tech solutions for businesses.

Cover image for Vachanamrut AI Companion — AI

Vachanamrut AI Companion — AI Knowledge Assistant Designed and developed an AI-powered conversational assistant that makes the teachings of the Vachanamrut accessible through natural-language interaction. The system allows users to ask questions in Gujarati or English and receive context-aware answers grounded in the Vachanamrut knowledge base. Key Features RAG-based knowledge retrieval AI-powered conversational Q&A Gujarati and English language support Voice-based question input Context-aware responses grounded in source content Structured knowledge processing and retrieval Google Gemini AI integration Simple, accessible interface for spiritual knowledge discovery Focus: Generative AI · RAG · LLM · Knowledge Assistant · Voice AI · Multilingual AI · Full-Stack Development

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Cover image for Spaciva — AI Automation &

Spaciva — AI Automation & Technology Solutions Designed and developed the Spaciva website to position the company around AI automation, custom software, and technology solutions for businesses. The website is structured around a clear service-led journey, helping visitors understand what Spaciva builds, who it serves, and how projects are delivered. The experience focuses on communicating complex technical services in a simple, conversion-oriented way. Key Features AI automation service presentation Custom software development positioning AI agent and workflow solutions Business-focused service architecture Conversion-focused landing page Clear service and solution navigation Responsive and modern UI/UX Lead-generation focused CTAs Structured content and information architecture Ongoing support and maintenance positioning My Role I handled the website strategy, UI/UX direction, frontend development, content structure, and implementation, creating a digital experience designed to turn technical capabilities into clear business value. Technology Next.js · React · TypeScript · Tailwind CSS · Responsive Web Development Focus: AI Automation · Custom Software · AI Agents · Business Solutions · Web Development · Conversion Optimization

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Cover image for Kofeko — AI-Powered HR &

Kofeko — AI-Powered HR & Recruitment Platform Designed and developed Kofeko, an AI-powered hiring and HR management platform built to streamline the complete recruitment lifecycle. The platform helps organizations structure job requirements, manage candidates, build smarter shortlists, and make faster, data-driven hiring decisions through AI-assisted workflows. Key Features AI-powered candidate screening and shortlisting Job and role management Candidate pipeline management Recruitment workflow automation AI-assisted hiring decisions Recruiter and team management Structured hiring processes and dashboards Secure, scalable web architecture Focus: AI · HR Tech · Recruitment Automation · SaaS · Candidate Management · Full-Stack Development

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Cover image for Siddhraj — Premium Real Estate

Siddhraj — Premium Real Estate Website Designed and developed a premium real estate website for Siddhraj, focused on creating an immersive property discovery experience while presenting the brand and its projects with a strong visual identity. The website combines high-quality property imagery, project showcases, structured information, and enquiry-focused user journeys to help potential buyers explore developments and connect with the business. Key Features Premium real estate-focused UI/UX Property and project showcases Immersive image galleries Project and amenities presentation Responsive design across devices Enquiry and contact flows Conversion-focused call-to-actions Modern navigation and content structure Performance-focused frontend development My Role I handled the website development and implementation, translating the business requirements and visual direction into a responsive, production-ready web experience. Technology Next.js · React · TypeScript · Tailwind CSS · Responsive Web Development Focus: Real Estate · Web Development · UI/UX · Property Showcase · Lead Generation

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AI Automation Specialist — I build AI workflows that ship

New to Contra

AI Automation Specialist — I build AI workflows that ship

Cover image for I build custom AI-powered contract

I build custom AI-powered contract analysis web applications that help users review contracts, identify risks, and generate clear recommendations in minutes. Using LangChain, RAG, Llama models, Hugging Face embeddings, Flask, and Docker, I create production-ready solutions that can analyze PDFs, DOCX files, and text documents, detect risky clauses, generate plain-English summaries, and provide structured risk scores. Perfect for LegalTech startups, law firms, procurement teams, HR departments, and founders looking to automate contract review workflows. Includes source code, deployment, customization, and post-launch support.

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Cover image for Built SiteScope AI, an AI-powered

Built SiteScope AI, an AI-powered client intake and discovery call automation system using Make.com (http://Make.com), Google Gemini AI, Jina AI Reader, Tally, Google Sheets, Google Calendar, Gmail, and Google Meet. The system automatically processes client submissions, extracts and analyzes website content, generates business insights, creates discovery call strategy briefs, produces personalized recommendations, schedules meetings with automatic calendar invites, sends branded confirmation emails, and logs all data into a structured CRM. The automation eliminates manual pre-call research, scheduling, and follow-ups while enabling faster lead response times and fully prepared discovery calls within minutes of form submission.

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Cover image for Developed ReviewRadar, an AI-powered customer

Developed ReviewRadar, an AI-powered customer review monitoring and business intelligence system built with n8n, Google Gemini AI, SERPAPI, Google Sheets, Gmail, Slack, Twilio WhatsApp, and Looker Studio. The platform continuously collects Google Reviews, classifies sentiment, identifies complaint categories, assigns urgency scores, generates AI-powered response drafts, and instantly notifies stakeholders of critical feedback. Weekly executive summaries and interactive dashboards provide actionable insights into customer sentiment, review trends, top complaints, top praise, and business performance. The automation eliminates manual review monitoring while enabling proactive reputation management and faster customer response times.

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Cover image for TACTICAL DIMENSION is a 10-screen

TACTICAL DIMENSION is a 10-screen cinematic military HUD interface built entirely with Google Stitch. Inspired by dark tactical aesthetics, the project features a custom animated boot sequence, targeting ring systems, a live global logistics map, encrypted comms terminal with real-time decryption animation, sensor dashboards, diagnostics panels, and a final void sequence — all connected into one navigable prototype. The design system is locked across all 10 screens: void black #02040E, amber #FF8C00, cobalt #00A2FF, Bebas Neue + Space Mono. Every screen was generated and iteratively refined inside Stitch — moving from a single descriptive prompt to a fully interactive, motion-rich interface in one session. ============================================================= How Stitch was used by ME ? Google Stitch was the core tool for every stage of this project: STREAMING GENERATION I started with a single detailed prompt describing the tactical aesthetic, color system, and layout. Stitch streamed the full interface directly to the canvas in real time — letting me see the design direction immediately and course-correct early without wasted effort. IN-PLACE AI EDITS This was the game-changer. Instead of regenerating screens from scratch, I used Stitch's in-place edit feature to refine individual elements — adding HUD overlays, enhancing targeting rings, fixing layout issues, and layering motion effects — all while preserving the existing design. Every screen went through 2-4 rounds of in-place refinement. ITERATION WORKFLOW The canvas became a living design document. I could see all 10 screens side by side, compare iterations (old vs new shown simultaneously), and make decisions fast. Stitch's ability to show before/after versions on the same canvas made the iteration loop extremely tight. EXPORT + DEPLOYMENT Used Stitch's built-in Netlify export to deploy each screen individually, then connected all 10 into a unified prototype with a custom boot sequence and navigation system. DESIGN CONSISTENCY Stitch maintained the amber/cobalt/void color system and Space Mono + Bebas Neue typography automatically across all 10 screens — something that would have taken hours to enforce manually. ============================================================= My Feedback on Stitch Stitch is the fastest path I've found from idea to interactive interface. What works brilliantly: — Streaming generation to canvas feels genuinely exciting. Watching the design appear in real time changes how you think about iteration. — In-place AI edits are the killer feature. Clicking an element and describing what to change — without losing everything else — is exactly how creative tools should work. — The canvas as a workspace (seeing all screens together) gives a bird's-eye view that Figma-style tools miss entirely. What I'd love to see next: — Video file upload support (not just images) for video backgrounds — Multi-screen prototype linking built directly into Stitch — One-click full multi-page site deploy (not screen by screen) — More control over animation timing and easing in generated motion Overall: Stitch cut my design-to-prototype time by roughly 80%. The combination of AI generation + in-place editing + instant export is a workflow that genuinely didn't exist before. Impressive. ============================================================= Live Site : https://tactical-dimension-googleai.netlify.app/ Live Site v2 : https://tactical-dimension.netlify.app/ Stitch Project : https://stitch.withgoogle.com/projects/15697475248820729706 X : https://x.com/NDDimension/status/2062110075444203533?s=20 LinkedIN : https://www.linkedin.com/posts/dhanraj-sharma-nddimension_googlestitch-builtwithstitch-uidesign-ugcPost-7467876011657863168-i0Ep/?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAFzn9PQBrwaChcRrWWQQVV5SA6r16Jm6fP0

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Senior Full Stack Developer | AI Agents | React, Node.js

5.0: Rating

5: Followers

Senior Full Stack Developer | AI Agents | React, Node.js

Cover image for Private AI Cloud for DevOps Enhancement

Private AI Cloud for DevOps Enhancement

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Cover image for AI-Powered Due Diligence Platform

AI-Powered Due Diligence Platform

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Cover image for Construction Payment and Workflow Platform Development

Construction Payment and Workflow Platform Development

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Cover image for M&A Workflow Platform Development

M&A Workflow Platform Development

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Ahmedabad, India

Building Scalable Software That Solves Real Business Problem

5.0: Rating

2: Followers

Building Scalable Software That Solves Real Business Problem

Cover image for I designed and built Pristine's

I designed and built Pristine's entire digital operations platform, from database architecture and role-based workflows to a production-deployed web suite and an AI analytics layer. The challenge was replacing a ceramic processing plant's paper-and-spreadsheet production logs with a system that floor operators would actually use, while giving management the traceability and insight the paper trail never could. Every decision focused on data integrity, least-privilege security, and keeping the interface simple enough for shift operators to work quickly. I built four services around a single PostgreSQL schema. The operator app handles the full production lifecycle: raw material intake, drying plant shifts, multi-section ball mill batch entry, quality control, and finished-goods inventory, with Excel export throughout and navigation that adapts to each of eight distinct plant roles. A modular Express and Prisma API enforces that access control at the route level. A separate React-Admin console keeps master data (mills, grades, recipes, suppliers, users) out of the operator's way. The most important piece was traceability. I designed a quality control gate that sits between production output and inventory. QC records are created automatically when a batch completes, reviewed by an inspector, and only generate an inventory entry if quality passes. Every finished bag carries an auto-derived lot number encoding its production date, flow rate, monthly sequence, and bag count, so any outbound shipment can be traced back through inventory and QC to the exact mill batch that produced it. On top of that I built an AI analytics agent that lets managers query the plant in plain English, architected around a zero-data-to-LLM guarantee. The model only ever sees the database schema and the question, never a row of production data. Five independent layers enforce it: two least-privilege Postgres roles separating read-only queries from insert-only auditing, a sqlglot AST guard that rejects any non-SELECT statement, a per-role table allowlist, the prompt design itself, and a full audit log of every interaction. Answers stream to the browser over Server-Sent Events through a LangGraph pipeline that routes, guards, plans the query, executes, then explains the result in business terms. Tech Stack: React 19, TypeScript, Ant Design, TanStack Query, Tailwind CSS v4, Node.js, Express, Prisma, PostgreSQL, React-Admin, MUI, Python 3.12, FastAPI, LangGraph, OpenAI, AWS EC2, Nginx, Supabase, Vercel.

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Cover image for I designed and built the

I designed and built the Pristine Admin console, the back-office application that controls all master data behind a manufacturing plant's production system. The challenge was that master data in a factory setting is unforgiving. A mistyped grade name or a deleted material silently breaks months of historical production records, so the panel had to make the right action easy and the destructive action impossible. I built it as a deliberately constrained interface: records can be deactivated but never deleted, every write is validated on both sides, and access is restricted to admin roles at the authentication layer rather than just hidden in the UI. The console manages seven resources across the plant: ball mills, ball mill grades, raw material grades, materials, suppliers, users, and raw material recipes. The recipe builder was the most interesting piece. Each raw material grade needs a formula defining how many kilograms of each material go into one batch, so I built a nested form that pulls live material options, enforces a single recipe per grade by filtering out grades already configured, and validates quantities inline. Because the backend keys recipes by grade rather than by their own ID, I mapped the resource identity in the data layer so the standard list, create, and edit flows work transparently over a non-standard endpoint shape. Most of the engineering went into the data provider. The existing API returns enveloped responses and full collections rather than paginated ones, so instead of reshaping a working production API I wrote a provider that adapts to it: a client-side query engine handling full-text search, boolean filtering, multi-field sorting, and pagination, plus a per-resource field allowlist that strips any key the backend validators would reject before a request goes out. Delete operations throw by design, pointing the user to deactivation instead. Authentication runs through the same JWT service as the operator app, but the console rejects any account without an admin role at login and re-verifies that on every route change, clearing the session automatically on a 401 or 403. I finished it with a custom MUI theme and layout: an indigo and teal palette, a gradient-washed background, softened surfaces and radii, and a collapsible sidebar reworked to show clean centered icons rather than clipped labels when narrowed. Tech Stack: React 19, TypeScript, React-Admin 5, MUI 7, Tailwind CSS v4, Vite, Vercel.

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Cover image for I worked as a Software

I worked as a Software Engineer on DripShop, a large-scale live-streaming e-commerce platform that enables creators and businesses to sell products through interactive live video experiences. My work focused on building production-ready features that supported high-traffic user journeys while maintaining performance, reliability, and a seamless shopping experience. The platform combines live video, real-time user interactions, payments, inventory management, and order processing into a single experience. My responsibility was to translate complex product requirements into scalable, maintainable frontend and full-stack solutions, collaborating closely with designers, backend engineers, product managers, and QA throughout the development lifecycle. I contributed to the development of customer-facing experiences across the platform, building reusable React and Next.js components, integrating backend APIs, implementing responsive interfaces, and improving application performance. Alongside feature development, I resolved production issues, optimized existing workflows, and helped ensure new releases met high standards for usability and reliability. Working on a product used by thousands of shoppers required careful attention to performance, state management, and code quality. I participated in code reviews, collaborated on architectural decisions, and followed modern engineering practices to keep the application scalable and maintainable as new features were introduced. This project strengthened my experience building production-scale web applications, working within a large collaborative engineering team, and delivering features that directly impacted real users and business outcomes. Tech Stack: React, Next.js, TypeScript, Node.js, GraphQL, REST APIs, Tailwind CSS, Git, GitHub Actions, Vercel, Agile Development.

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Cover image for I designed and built ApexSutra's

I designed and built ApexSutra's entire digital presence—from branding and design system to a production-ready website. The challenge was to create a website that demonstrates engineering quality rather than relying on generic marketing. Every decision focused on performance, scalability, maintainability, and user experience. I developed a reusable design system powered by Tailwind CSS v4, with design tokens for colors, typography, spacing, and motion. The website is fully data-driven, allowing new services and industries to be added through typed content files that automatically generate pages, SEO metadata, sitemap entries, and search integration. SEO is built into the architecture with structured data, Open Graph metadata, and an auto-generated sitemap, ensuring content and search optimization always stay in sync. Performance was equally important, using CSS-first animations, server-rendered content, and accessibility features like reduced-motion support. Tech Stack: Next.js 16, React 19, TypeScript, Tailwind CSS v4, Vercel.

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Dhaivat Jambudia

Backend Engineer | DevOps | Building AI apps | MLOps

6: Followers

Backend Engineer | DevOps | Building AI apps | MLOps

Cover image for Alexa: MultiModal Agent

Alexa: MultiModal Agent

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Cover image for Excergic/Acupuncture-RAG-App

Excergic/Acupuncture-RAG-App

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Cover image for Newton-LLM

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Vadodara, India

Full stack Web | AI | Technical Writer

Full stack Web | AI | Technical Writer

Cover image for AI Powered Ed-TECH Platform

AI Powered Ed-TECH Platform

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Cover image for HR Processes Automation Tool using N8N and Slack bolt

HR Processes Automation Tool using N8N and Slack bolt

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Cover image for Remote Code Execution Engine

Remote Code Execution Engine

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