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Full Stack Engineer with 1+ years in Python, Django & React.js, specializing in AI-powered systems a
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Full Stack Developer with hands-on experience building and deploying end-to-end web applications using Python (Django, FastAPI, Flask) and modern JavaScript with React. Designed and shipped scalable RESTful APIs, responsive front-end interfaces, and AI-powered systems using Retrieval-Augmented Generation (RAG) with the Google Gemini API. Strong foundation in PostgreSQL design, Docker, GitHub Actions CI/CD, and AWS deployment; comfortable working across the full stack in code-review-driven environments.
St. Mary's Group of Institutions
B.Tech · Civil Engineering
N/A – June 30, 2025
Azad Engineering Pvt. Ltd
SAP Data Analyst
August 1, 2024 – Present
Hyderābād, Telangana, India
SoleMate - Full Stack E-Commerce Web Application
June 27, 2026 – Present
Architected and built a production-grade multi-seller e-commerce platform end-to-end — from database schema and RESTful API design to responsive React front-end — managing 650+ products across multiple categories. Designed 12+ scalable RESTful APIs (auth, products, cart, orders, seller dashboards) with input validation, throttling, JWT refresh-token rotation, Google OAuth 2.0, role-based access control (RBAC), and complete OpenAPI/Swagger documentation. Built responsive, interactive front-end interfaces in React.js with seller dashboards, product catalogs, and order management; integrated Razorpay payment gateway with secure server-side verification. Deployed Python backend on AWS EC2 (Nginx + Gunicorn, HTTPS via Certbot) with GitHub Actions CI/CD and Docker Compose; React frontend on Vercel with continuous deployment on every Git push.
View ProjectDocMind - AI Document Intelligence Platform (RAG)
June 27, 2026 – Present
Built a Retrieval-Augmented Generation (RAG) system in Python (FastAPI) and JavaScript (React) for question answering over complex multi-document datasets with semantic search and document-grounded citations. Implemented PDF text extraction, chunking, and Gemini embeddings stored in ChromaDB vector database; designed a hybrid answering strategy bridging a heavy computational backend (LLM + vector search) with an intuitive user-facing chat interface. Built an interactive React UI with multi-PDF upload, model selection, markdown rendering, voice input, and chat history; deployed FastAPI microservice on Render and React frontend on Vercel with continuous deployment.
View ProjectStock Market Analyzer - Real-Time Data Visualization Platform
June 27, 2026 – Present
Built a real-time financial data web application with a Python FastAPI backend serving live NSE/BSE market data via REST APIs and a responsive React.js frontend visualizing multi-dimensional market data; deployed on Render and Vercel with continuous deployment.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for software development through extensive personal projects, which aligns well with a culture of continuous learning and innovation. The diversity of projects (e-commerce, AI RAG, real-time data visualization) shows a broad interest and ability to tackle different problem domains. However, the lack of professional software engineering experience and the current role as an SAP Data Analyst might indicate a need for mentorship and adaptation to a professional software development team environment. The candidate is still pursuing a B.Tech degree, which suggests a strong academic drive.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven approach to learning and application development. The detailed descriptions suggest good communication skills in articulating technical work. The experience as an SAP Data Analyst, though not directly technical in software development, implies an ability to work in a structured environment, perform data validation, and collaborate with cross-functional teams, which are valuable operational skills.