Freelancers using PostgreSQL in West Bengal

Freelancers using PostgreSQL in West BengalFreelancers using PostgreSQL in West Bengal

Projects People

proSiliguri, India

I build MVPs in 2-4 weeks |Shipped 50+ MVPs for 30+ clients

43x: Hired

4.8: Rating

87: Followers

Expert

I build MVPs in 2-4 weeks |Shipped 50+ MVPs for 30+ clients

Cover image for Pulse Platform — AI-Powered Community & Engagement Platform

Pulse Platform — AI-Powered Community & Engagement Platform

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Cover image for The Nursing Edge Learning Platform Development

The Nursing Edge Learning Platform Development

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Cover image for Black Label Marine Group

Black Label Marine Group

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Cover image for Parenthour — Full Product Build (Web + Android + iOS)

Parenthour — Full Product Build (Web + Android + iOS)

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Full-stack software developer

100x: Hired

5.0: Rating

20: Followers

Expert

Full-stack software developer

Cover image for B2B Email Verifier

B2B Email Verifier

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Cover image for Database App

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Cover image for Building a Credit-Based Service Marketplace from Scratch

Building a Credit-Based Service Marketplace from Scratch

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Cover image for Fixing Analytics & Migrating a Compound Review SPA to Next.js

Fixing Analytics & Migrating a Compound Review SPA to Next.js

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Senior Software Engineer | node.js, django, go & react

5.0: Rating

3: Followers

Senior Software Engineer | node.js, django, go & react

Cover image for AfricanPrice: Full Stack design & development of QnA platform

AfricanPrice: Full Stack design & development of QnA platform

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Cover image for Decorum - B2B Order Management App | Node.js, React & Firebase

Decorum - B2B Order Management App | Node.js, React & Firebase

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Cover image for Sudoku Saga | High performant sudoku app built with React Native

Sudoku Saga | High performant sudoku app built with React Native

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AI Developer & AI Agent Engineer

New to Contra

AI Developer & AI Agent Engineer

Cover image for DocFlow AI – Intelligent Document

DocFlow AI – Intelligent Document Processing Platform DocFlow AI is an enterprise document intelligence platform that transforms unstructured documents into searchable, actionable knowledge. The platform automatically extracts information from PDFs, Word files, invoices, contracts, and reports, builds a searchable knowledge base, and enables users to interact with their documents through an AI assistant using Retrieval-Augmented Generation. It combines OCR, structured extraction, RAG, AI agents, and workflow automation to simplify document-heavy business operations. Features: PDF Processing OCR Pipeline RAG AI Chat with Documents Entity Extraction Document Classification Knowledge Base Citation Generation Role-based Access FastAPI Backend Tech Stack: Python FastAPI LangGraph LangChain ChromaDB PostgreSQL Docker Redis OpenAI OCR

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Cover image for Scopio – Multi-Agent AI Sales

Scopio – Multi-Agent AI Sales Automation Platform Scopio is a production-ready multi-agent AI platform designed to automate B2B sales and lead generation. The platform coordinates multiple AI agents to perform end-to-end sales workflows: Discover potential businesses from multiple sources Research company websites and public information Analyze business context using LLMs Generate personalized outreach emails Manage follow-up workflows automatically Maintain conversation history and workflow state I designed the agent architecture using LangGraph, enabling planning, tool calling, memory, and multi-step execution while integrating external APIs and backend services for reliable automation. Key Features Multi-Agent Architecture Autonomous Business Research AI-Powered Personalized Outreach Tool Calling & API Integration Workflow Orchestration Long-Term Memory PostgreSQL & Redis Integration Dockerized Deployment FastAPI Backend Tech Stack Python • LangGraph • LangChain • FastAPI • PostgreSQL • Redis • Docker • OpenAI • MCP • REST APIs

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Cover image for What happens after someone asks

What happens after someone asks your business, “Can you help with my project?” I designed this AI lead qualification concept to show how an interior design studio could turn a website conversation into an organized enquiry, ready for its team to review. The experience brings together: • A conversational assistant that collects project requirements. • Structured details including location, budget, style, and timeline. • A dashboard that gives the owner a clear enquiry summary. • An AI-drafted response with human approval. The goal: give potential customers a welcoming first interaction and give the business a clearer starting point for follow-up. This animated showcase explores the product’s UI/UX and intended workflow using GSAP and HyperFrames. Created by Kazi Eajaj Hossain · Concept demo with fictional data. Have a repetitive enquiry or customer support workflow? Let’s discuss how a custom AI assistant could fit your business. #AIAgents #AI Automation #ConversationalAI #UIDesign #WorkflowAutomation

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Cover image for Designed and developed a modern

Designed and developed a modern 3D interactive website concept for Freej Swaeleh, a Kuwaiti restaurant brand. The goal was to create a premium digital experience that combines Kuwaiti cultural identity with modern 3D web design, while making it easy for customers to explore the restaurant, menu, branches, gallery, FAQs, and ordering options. What I built • Interactive 3D website experience • Modern responsive UI/UX • Restaurant menu & dish showcase • Branch/location section • Food gallery • FAQ section • Online ordering concept • Mobile-responsive experience • Smooth animations and interactive elements AI Integration Concept I also designed the concept for an AI Restaurant Agent that could be integrated into the website to provide 24/7 customer assistance — answering menu questions, recommending dishes, providing branch information, helping with reservations/orders, and more. Live Demo: https://eajajhossain.github.io/freej-swaeleh/ Note: This is an independent concept/prototype created to demonstrate the potential digital experience and is not an official Freej Swaeleh website.

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Cooch Behar, India

Business Automation Expert & Workflow Strategist

Business Automation Expert & Workflow Strategist

Cover image for End-to-End Data Collection and Processing Automation

End-to-End Data Collection and Processing Automation

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Cover image for Payment Gateway and Accounting Software Integration

Payment Gateway and Accounting Software Integration

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Cover image for Unified Data Access System

Unified Data Access System

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Kharagpur, India

Full-stack developer and founder building real-world product

New to Contra

Full-stack developer and founder building real-world product

Cover image for Built for the Accenture Innovation

Built for the Accenture Innovation Challenge (Round 2), this one tackles a problem most companies rolling out AI don't think about until it bites them: if you're running several different LLM-powered features at once — a customer support bot, an internal knowledge assistant, a tool inside a regulated decision workflow — each one needs a completely different level of scrutiny. A support bot can tolerate more risk and needs to respond fast; a regulated decision-support tool needs to be slow, careful, and willing to hold a response for human review rather than guess. AuRizz is a middleware layer that sits between an enterprise's LLM provider and its users and decides, per use case and in real time, whether a generated response should go through as-is, get redacted, get held for a human, or get blocked outright. What made this a genuinely hard build, not just an API wrapper: Policy-driven, not hardcoded. Every behavioral difference between use cases — which checks run, their thresholds, what happens on failure — lives in YAML config, not in application code. Switching a deployment's risk posture is a config edit, not a redeploy. Confidence as a first-class signal. Every check returns both a risk score and a confidence in that score — a high-risk-but-unsure reading routes to human review instead of auto-blocking, which is the actual fix for alert fatigue. Multi-provider by design. Works with Anthropic, OpenAI, Gemini, or Groq behind one interface, with automatic runtime fallback if a provider fails — switching providers is a one-line config change, not a rewrite. A real audit trail. Every decision is written to a hash-chained, tamper-evident log, and human overrides are appended as new records rather than edits — so the fact that the system said block and a human said allow is preserved, not erased. Built to be tested. 104 tests run the full pipeline — detectors, aggregation, decision rules, the audit chain — with no network calls or API keys required, because everything is built against interfaces, not vendor SDKs directly. I worked on this with a teammate — I focused on architecture, pipeline, backend, and we split the detector logic, policy engine, and audit system between us. Stack: Python, FastAPI, React, TypeScript, Pydantic, SQLite, multi-provider LLM integration (Anthropic/OpenAI/Gemini/Groq) Status: this is a working prototype, not a deployed product — the source is public and the full pipeline runs locally with real API calls or offline in the test suite, but it hasn't been hosted or put in front of real traffic yet. If you're building anything where AI output needs a guardrail — content moderation, compliance-sensitive automation, multi-agent systems that need oversight — this is exactly the kind of system design problem I enjoy.

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Cover image for During my internship at Neosophical

During my internship at Neosophical Labs, I single-handedly built Sabse Bada Fan (https://sbf.ahoum.com/)(SBF), a live multiplayer quiz game, taking it entirely from an initial idea to a fully launched application. I designed the system to handle over thousands of people playing at the exact same time without slowing down, and I made sure the live leaderboards update instantly for everyone. To make the game accessible everywhere, I integrated Capacitor to seamlessly package the web platform into native Android and iOS mobile apps. Finally, I built an automated background system that perfectly runs our scheduled live quizzes and handles all the scoring completely on its own without any human effort.

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Cover image for I built this because I

I built this because I was annoyed. I was paying monthly for a study library seat, and I still couldn't reliably tell if a seat would be free when I showed up. No way to check online, no way to book ahead just calling around or walking in and hoping. I figured if this was frustrating me, it was frustrating thousands of students across India who rent library/reading-room seats the same way. So I built Studoo (https://studoo.aithro.in/)and Padhloo (https://padhloo.aithro.in/)two connected products at Aithro (https://aithro.in/products)- Padhloo (student side): search study spaces by city/price/amenities, see a live seat map, request a specific seat for 1-12 months, and track your bookings, dues, and payments in one place. It also gamifies actually showing up — QR check-in/out, study streaks, points, badges, a leaderboard — so students stay consistent, not just book-and-forget. Studoo (owner side): the dashboard library/reading-room owners use to list their space, manage seat inventory and pricing per slot, approve or reject booking requests, chase due payments automatically, and see real analytics (occupancy, revenue, which slots to reprice). Free tier + two paid plans. You can see product demo video here - https://youtu.be/9Yex73MIYqQ?si=jfWqLxisRTM9N_28 I designed and built the full product end-to-end — the booking/approval workflow, the seat-and-slot inventory model, the QR-based geofenced attendance system, the payments/dues tracking, the subscription tiers, and the whole gamification layer (points, streaks, badges) on the student side. Where it stands: Got our first paying customer, a real library owner in Patna paying for the Growth plan, which is the moment this stopped being a side project and started being a business. Reached the Grand Finale of Empresario 2026 (IIT Kharagpur E-Cell), selected out of 3,000+ global registrations. Won the Platinum Jubilee Innovation Challenge (Deep Tech) at IIT Kharagpur's 75th anniversary event. What I'm good at, based on building this: turning a messy real-world workflow (owner approves seat → student pays offline → both sides need to trust the same numbers) into a system that's simple enough for a small business owner with no tech background to actually use — while still handling the edge cases (partial payments, overlapping slots, expiring bookings, geofenced check-ins) correctly under the hood. If you're a small business or founder who needs a web app or an AI-automation workflow built and shipped fast, not just prototyped that's exactly the kind of problem I like solving. Happy to talk about your project.

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Cover image for SpeakYield - voice-first agri-commerce platform

SpeakYield - voice-first agri-commerce platform for Indian farmers This one came out of a government hackathon problem statement, but the problem itself is real and ugly: a smallholder farmer in Maharashtra selling onions knows yesterday's price at exactly one mandi, usually from the same commission agent who's also buying from them. They can't see the market 40km away, can't see what a processor or exporter would pay, and often sell right after harvest at the seasonal low because they need cash now, not because it's the best time to sell. Every step of that chain - price, buyer trust, quality grading, transport, payment - quietly leaks money out of the farmer's pocket. I built SpeakYield to close that gap, and built it voice-first because the people this is for often can't or won't use a text-heavy app. A farmer can literally say "I want to sell 12 quintals of onion, I need ₹40,000 right now" in Marathi/Hindi, and the app: Parses that into a structured request and reads it back for confirmation before anything commits - nothing moves on a guess Shows every nearby buyer's price as net-in-hand, after transport, commission, and fees - not the misleading headline mandi rate Recommends sell-now / split / hold based on the farmer's actual cash need, not just a price chart Ranks competing buyer offers by what the farmer actually banks, weighted by the buyer's payment-reliability history Runs the full deal lifecycle — offer, logistics, milestone payments, dispute filing — on one transparent, tamper-evident record What I built: the full stack — Next.js/TypeScript frontend, FastAPI backend, the voice pipeline (speech-to-text → LLM intent parsing with strict schema validation → text-to-speech read-back), the buyer-matching and net-price ranking engine, and the deal/ledger system. Solo project, ~12 commits from architecture to a working two-sided prototype (farmer view + buyer view), with CI, linting, and end-to-end tests. Stack: Next.js, TypeScript, FastAPI, Python, LLM-based voice intent parsing, PostgreSQL/Redis (production design) I like this kind of problem specifically because it's not "build a CRUD app" — it's translating a messy, high-stakes, low-trust real-world transaction into software that has to work for someone with a ₹6,000 phone and patchy network, not a power user. If you need someone who can take a genuinely fuzzy problem (multi-party trust, real-time matching, voice/AI interfaces) and turn it into a working product fast, that's exactly this.

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🚀 Full Stack Web Dev: React, Node.js, MongoDB

🚀 Full Stack Web Dev: React, Node.js, MongoDB

Cover image for Online Liquor Delivery

Online Liquor Delivery

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Cover image for Sync Speak ( real-time Voice Chat app )

Sync Speak ( real-time Voice Chat app )

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Cover image for Grapixi ( Design to Code )

Grapixi ( Design to Code )

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Subhojit Adhikary

Building High-Converting Websites & Apps for Businesses

Building High-Converting Websites & Apps for Businesses

Cover image for IconsGeek — Free SVG Icons & Stickers

IconsGeek — Free SVG Icons & Stickers

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Cover image for Built JustEasyBook, a modern event

Built JustEasyBook, a modern event booking mobile app that helps users discover events, book tickets, and manage bookings with ease. Designed and developed a fast, intuitive, and responsive experience with secure authentication, real-time event listings, and seamless ticket booking for iOS and Android. Skills: React Native Mobile App Development UI/UX Design Laravel REST API Integration Firebase iOS & Android Performance Optimization

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Cover image for Still managing HR with spreadsheets

Still managing HR with spreadsheets and disconnected tools? Your HR system should work the way your business works—not force you to change your workflow. I build custom HR Management Systems tailored to your organization's unique processes, helping you automate repetitive tasks and improve workforce management. What can be included? - Employee Management - Attendance & Leave Tracking - Payroll Management - Recruitment & Applicant Tracking - Performance & Appraisal Management - Role-Based Access Control - Reports & Analytics Dashboard - Employee Self-Service Portal - Document Management - Custom Approval Workflows - API Integrations (ERP, Accounting, Biometric, etc.) Whether you're a startup, SME, or enterprise, I can develop a secure, scalable, and fully customized HRM solution that grows with your business. If you're looking for an HR platform built around your requirements instead of adapting to off-the-shelf software, let's connect. #HRM #HRTech #CustomSoftware #BusinessAutomation #EmployeeManagement #Payroll #SaaS #WebDevelopment #Laravel #React #NextJS #BusinessSolutions #Contra #Automation

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Cover image for Figma UX/UI & Graphic Design
Need

Figma UX/UI & Graphic Design Need clean, modern, and user-focused designs? We help businesses and startups with: • UX/UI Design in Figma • Website & Mobile App Design • Wireframes & Prototypes • Landing Pages & Dashboards • Branding & Graphic Design • Brochures, Banners & Social Media Creatives Let’s turn your ideas into designs that look great and work better.

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