Freelancers using LangChain in Ahmedabad

Freelancers using LangChain in AhmedabadFreelancers using LangChain in Ahmedabad

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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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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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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Ahmedabad, India

Data Engineer · Python · Airflow · dbt · Kafka · AWS

New to Contra

Data Engineer · Python · Airflow · dbt · Kafka · AWS

Cover image for Project 4 — RAG Document

Project 4 — RAG Document Chatbot Title: RAG Document Chatbot — LangChain · ChromaDB · Streamlit Description: Fully local RAG application: PDF ingestion → 500-token semantic chunking → 73-chunk ChromaDB vector store → LangChain retrieval chain with source citations and multi-turn memory. Streamlit UI, no external API dependency. Link: https://github.com/Krupa03/rag-document-chatbot

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Cover image for Project 3 — Data Quality

Project 3 — Data Quality Checker Title: Data Quality Checker — AWS S3 · Terraform · GitHub Actions Description: A CLI tool automating data quality checks (nulls, duplicates, referential integrity, freshness, and schema drift) on a Kimball star-schema warehouse. AWS S3 provisioned as IaC with Terraform. Full CI/CD via GitHub Actions on every push. Link: https://github.com/Krupa03/data-quality-checker

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Cover image for Project 2 — Real-Time Sales

Project 2 — Real-Time Sales Pipeline Title: Real-Time Streaming Pipeline — Kafka · PySpark · Grafana Description: Real-time event pipeline processing $368,919 in transaction volume at 110 orders/minute peak. Python producer → Kafka → PySpark Structured Streaming → TimescaleDB → Grafana dashboard with 30s auto-refresh. Full stack on Docker Compose. Link: https://github.com/Krupa03/realtime-sales-pipeline

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Cover image for Project 1 — E-Commerce ELT

Project 1 — E-Commerce ELT Pipeline Title: E-Commerce ELT Pipeline — Airflow · dbt · BigQuery Description: End-to-end ELT pipeline on 99.4K Brazilian e-commerce orders. Airflow orchestrates daily ingestion into BigQuery → dbt transforms across staging to mart layers. Surfaced R$16.4M customer LTV and R$1.25M peak monthly revenue for Looker Studio dashboards. 16 consecutive successful DAG runs under 6 minutes. Link: https://github.com/Krupa03/ecommerce-elt-pipeline

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