Languages
Programming foundations
Indus University
Pursuing, Expected 2027
VNSGU
CGPA 7.7/10 | 2022-2025
Passionate Full-Stack Developer & AI/ML Engineer skilled in JavaScript, Python, Java, and C++. Experienced in building scalable web applications using React, Svelte, Astro, Node.js and deploying on Render and Vercel. Builds end-to-end AI systems using PyTorch, TensorFlow, and HuggingFace — from CNNs and Transformers to RAG pipelines. Strong foundation in OOP, DSA, and Agile methodologies.
My Stack
A practical toolkit for building production-ready web products and AI-powered experiences.
Programming foundations
Interfaces and UI systems
Servers, auth, and services
Persistence and data layers
Models, retrieval, and agents
Agent and workflow orchestration
Workflow and shipping
Engineering thinking
Full-stack web apps and AI/ML systems built from scratch
E-commerce Platform
Full-stack e-commerce platform developed as a freelance project. Includes secure authentication, product management, cart and checkout flow, address handling, and Razorpay payment integration with a modern responsive UI.
UrbanClap Clone
Service marketplace platform enabling users to book professionals in real time. Implemented role-based access, booking lifecycle management, notifications, and image uploads with a scalable backend architecture.
AI/ML
Built an agentic blog generation system using LangGraph with a multi-node pipeline: routing, research, orchestration, parallel section writing, and reduction. Implemented fanout worker nodes for concurrent section generation and a reducer subgraph for merging, image decision, and placement. Integrated Tavily web research to fetch and normalize real-time evidence for grounded, citation-backed content. Automated technical image generation and insertion into final markdown output via the Google Gemini API. Shipped a Streamlit frontend with multi-chat session history and tabbed output views: Plan, Evidence, Markdown Preview, Images, and Logs.
LangGraph
Pipeline
5+
Nodes
Gemini
Images
Full-stack AI
Built a full-stack AI chatbot with persistent memory backed by LangGraph + PostgreSQL. Implemented a multi-conversation chat system with automatic history management and title generation. Designed a modular FastAPI backend and integrated streaming LLM responses. Wired up tool-calling agents (calculator, web search, weather) and PDF RAG via FAISS for in-chat document Q&A. Enabled stateful conversation flow with per-session memory retrieval across sessions.
PostgreSQL
Persistence
Streaming
Responses
Multi-tool
Agents
Full-stack App
Developed a full-stack app for timestamped digital capsules — users store messages and schedule future reminders via natural language. Built a LangChain-based AI agent to store, retrieve, and reason over capsule data (e.g 'how many capsules do I have?', 'remind me next Monday'). Implemented scalable REST APIs and client-side state management with Zustand.
NLP
Scheduling
MongoDB
Storage
Zustand
State
Have a project in mind or want to collaborate? Feel free to reach out!