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Fullstack Engineer with 8+ years in JavaScript, Python, Node.js, and AI-driven applications
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Full-stack developer with 6.3 years of overall experience, including 3.3 years specializing in JavaScript, Python, and Node.js. Proficient in React, TypeScript, FastAPI, and building scalable backend systems. Currently developing a RAG backend using Python, FastAPI, LLMs, and OpenAI API, integrating GCS & MongoDB. Strong expertise in RESTful APIs, MySQL, PostgreSQL, vector search, hierarchical chunking, and optimizing retrieval pipelines for AI-driven applications, ensuring efficient data processing and retrieval.
West Bengal University of Technology
Mechanical Engineering
August 1, 2013 – July 1, 2017
Budhaaditya Advisors Private Limited
Software Developer
January 1, 2023 – Present
Bengaluru, Karnataka, India
MEDINI PUMPS PVT LTD
Junior Software Developer
December 1, 2021 – December 1, 2022
Kolkata, West Bengal, India
SPG ENTERPRISE
SITE SUPERVISOR
January 1, 2020 – November 1, 2021
India
JUST BORN
MANUFACTURING Engineer
February 1, 2018 – January 1, 2020
India
StockKnocks
January 1, 2023 – June 1, 2026
A MERN-based platform designed to provide comprehensive data and insights on unlisted companies in India. The system enables users to search, explore, and retrieve detailed company information efficiently. Developed the frontend using React.js, TypeScript, and Redux for state management, ensuring a scalable and maintainable UI. Implemented a micro frontend architecture for the company admin dashboard, enabling modular and independent development. Integrated the backend (Express.js, Node.js) with the frontend for seamless API communication. Built a microservices-based backend to enhance scalability, fault tolerance, and modular functionality. Implemented authentication and API gateway using Node.js to manage secure access and API requests efficiently. Optimized API calls and state management for improved performance and reduced latency. Utilized Server-Side Rendering (SSR) with Pug to improve SEO and enhance initial page load speeds. Backend: Built using Node.js and Express.js with a microservices architecture, ensuring modular development, scalability, and better fault isolation. Each microservice handles distinct functionalities such as user authentication, company insights, data processing, and reporting. Used MongoDB as the primary NoSQL database for efficient and scalable data storage and retrieval. Integrated SQL database for company screening, enabling structured data storage, efficient querying, and advanced filtering based on financial metrics, industry trends, and company profiles. Key Features: Micro frontend-based company admin dashboard for managing companies, users, and system settings. Redux for state management to ensure efficient data handling and UI updates. TypeScript for type safety and improved code quality across frontend and backend. Microservices-based backend for better performance and modular development. Optimized rendering with SSR using Pug for faster initial page loads and better SEO. Advanced search, filtering, and screening options using SQL for company evaluations based on financials, industry classification, and custom screening criteria. With its modular and scalable architecture, this platform ensures high performance, reliability, and flexibility for users seeking unlisted company data in India.
DataKnocks
January 1, 2023 – June 1, 2026
DataKnocks is a pre-released AI-powered platform focused on Indian IPO data and analysis. The platform leverages Retrieval-Augmented Generation (RAG) to process and retrieve structured and unstructured IPO-related data, providing insights on upcoming, ongoing, and past IPOs in India. The system enables investors and analysts to efficiently search, analyze, and track IPO trends using advanced vector search techniques. Developed the frontend using React.js, Next.js, and TypeScript, ensuring a scalable and maintainable UI. Implemented Redux for state management, optimizing data flow and improving application performance. Integrated the FastAPI backend with the frontend for seamless API communication related to RAG (Retrieval-Augmented Generation) operations. Designed and implemented Server-Side Rendering (SSR) with Next.js, improving SEO and initial page load speeds. Optimized API calls and React components, reducing load times and enhancing user engagement. Collaborated with the backend and Flutter teams, ensuring smooth integration between the web platform and the mobile app. Frontend: Developed using React.js, Next.js, Redux, and TypeScript for a scalable and maintainable UI. Utilized Server-Side Rendering (SSR) with Next.js to enhance performance and SEO. Designed a responsive and interactive UI, improving accessibility across different devices. Optimized state management using Redux, ensuring real-time updates and efficient data handling. Backend: Built using FastAPI, handling all RAG-related processes, including IPO document processing, embedding generation, and semantic search. Designed RESTful APIs for seamless communication between the frontend and backend. Used SQL database for structured IPO data storage, ensuring efficient querying and data integrity. Integrated MongoDB as a vector database for embedding storage and similarity search to enhance IPO-related information retrieval. Key Features: Comprehensive IPO insights, including upcoming, ongoing, and historical IPO data. AI-powered RAG system for intelligent document search and retrieval related to IPO filings. SQL database for structured IPO data storage and efficient querying. MongoDB as a vector database for semantic search and similarity-based IPO insights. SSR with Next.js, improving SEO and page load performance. Redux-based state management, ensuring smooth UI interactions and data flow. Seamless API integration with FastAPI, enhancing real-time IPO data retrieval. Cross-platform compatibility, with a Flutter-based mobile app (not directly involved in mobile development). Optimized performance, reducing API response time and improving user experience. DataKnocks is designed to be a high-performance, AI-powered IPO data retrieval system, ensuring scalability, efficiency, and intelligent insights for investors and analysts in the Indian IPO market.
Retail Hub
December 1, 2021 – December 1, 2022
Retail Hub is an IP-restricted internal-use e-commerce platform designed for managing retail operations, product listings, and order tracking within an organization. The system provides an intuitive and fast UI for internal teams to efficiently handle inventory, process orders, and analyze sales data. Developed using React.js, Redux, and TypeScript for a scalable and maintainable frontend architecture. Utilized HTML, CSS, and JavaScript for additional UI enhancements and styling. Integrated performance optimizations to improve load times and enhance user engagement. Ensured responsive design for seamless access across different devices and screen sizes. Key Features: Optimized UI components, reducing load times and improving user interactions. Redux for state management, ensuring efficient data flow and better performance. RESTful API integration for fetching real-time product and order data. Responsive and interactive UI for an improved internal user experience. Cross-browser compatibility to ensure seamless access across various platforms. IP-restricted access, ensuring secure and controlled usage within the organization. Retail Hub successfully improved internal retail management processes, providing an efficient, secure, and user-friendly platform for internal teams.
Prepare Data for Exploration
Coursera
June 1, 2026 – Present
Ask Questions to Make Data-Driven Decisions
Coursera
June 1, 2026 – Present
Foundations: Data, Data, Everywhere
Coursera
June 1, 2026 – Present
Introduction to Generative AI
Google (Coursera)
June 1, 2026 – Present
The Complete 2023 Web Development Bootcamp
Udemy
January 1, 2023 – Present
React - The Complete Guide (incl Hooks, React Router, Redux)
Udemy
January 1, 2023 – Present
"Namaste React" By Akshay Saini
Akshay Saini
January 1, 2023 – Present
NodeJS - The Complete Guide (MVC, REST APIs, GraphQL, Deno)
Udemy
January 1, 2023 – Present
The Complete JavaScript Course 2022: From Zero to Expert!
Udemy
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's project portfolio showcases a diverse range of applications, from e-commerce to financial data analysis (unlisted companies, IPOs) with AI integration. This diversity, combined with experience in microservices and RAG, aligns well with a dynamic, innovation-driven environment. The candidate's continuous learning through Udemy and Coursera certifications, including Generative AI, indicates a proactive approach to skill development and a desire to stay current with industry trends. Their experience in both frontend and backend development, along with exposure to different databases and cloud platforms, suggests adaptability and a broad technical perspective, which is beneficial for collaborative team environments.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, as evidenced by their work with cross-functional teams and designers/backend developers. Their experience in leading full-stack development and delivering features ahead of schedule indicates good project management and execution capabilities. The focus on performance optimization and secure authentication suggests a detail-oriented and quality-conscious approach. The candidate's ability to adapt from a non-software engineering background to a full-stack role, coupled with continuous learning through certifications, indicates a strong growth mindset and resilience.