Backend Python Developer · FastAPI · PostgreSQL · Docker
AI/ML Integration · GenAI Systems · REST APIs that actually scale
Final-year B.Tech CSE (AI & ML) · VVIT, Andhra Pradesh · ACM Chairperson

I'm a Backend Python Developer who specialises in building clean, scalable APIs and integrating ML/AI into production systems.

My core is FastAPI + PostgreSQL + Docker — I design REST APIs, model relational schemas, manage async workflows, and containerise everything for reproducible deployment. On top of that I bring AI/ML integration as a differentiator: connecting LLMs, embedding pipelines, and ML models into real backend services.

• 🐍 Primary stack: Python · FastAPI · SQLAlchemy · PostgreSQL · Docker
• 🤖 AI edge: GenAI integrations, RAG pipelines, CLIP/ResNet18 multimodal systems
• 🏛️ Leadership: ACM Chairperson at VVIT — organised Udgama 1.0 hackathon (100+ participants)
• 🏆 Achievements: 2nd place at AUNSF 3.0 Startup Competition · HackerRank 5★ Gold in Python
• ☁️ Certified: Google Cloud Skill Boost — Vertex AI & Gemini · NPTEL Python for Data Science
• 🎯 Open to: Backend Python Developer · Backend + AI/ML roles · 2025–2026
• 📍 Based in: Vijayawada, Andhra Pradesh, India

FastAPI · SQLAlchemy · PostgreSQL · Alembic · Pydantic Production-grade fleet management backend for managing shared company vehicles (cars, bikes, vans). Implements department-based access control, concurrent reservation locking with SELECT FOR UPDATE, driver license validation, maintenance scheduling with conflict detection, and a complete audit trail. Full vehicle lifecycle tracking from reservation → check-out → check-in → maintenance with trip odometer and fuel validation. #FastAPI #PostgreSQL #SQLAlchemy #Alembic #BackendPython

Python · Flask · scikit-learn · pandas · Logistic Regression · K-Means Machine learning-based crop recommendation system that predicts the most suitable crop from soil and climate readings (nitrogen, phosphorus, potassium, temperature, humidity, pH, rainfall). Achieves 97.27% accuracy with a Logistic Regression classifier across 22 crop classes, with rule-based seasonal grouping (Kharif/Rabi/Summer) and K-Means clustering for interpretable soil/climate profiling. Served through a Flask web app with a simple form-based UI. #Python #Flask #MachineLearning #scikit-learn #Agriculture Live Demo → · Repo →

FastAPI · SQLAlchemy 2.0 · PostgreSQL · React · Docker · GitHub Actions Full-stack product inventory management system with a FastAPI backend and React frontend — fully deployed and live. Features complete CRUD operations, live search, sortable columns, auto row numbering, and form validation. Backend hosted on Render with Neon PostgreSQL; frontend deployed via GitHub Actions CI/CD to GitHub Pages. #FastAPI #React #PostgreSQL #Docker #GitHubActions #FullStack Live Demo → · API Docs →

React · TypeScript · Vite · Tailwind CSS Frontend platform for community health workers — ASHA workers, clinic staff, district officers, and volunteers — to report suspected waterborne disease cases, log water quality readings by location, and access categorised prevention guidance. Role-based views, offline-connectivity awareness, and a CI/CD pipeline via GitHub Actions deploying straight to GitHub Pages. #React #TypeScript #PublicHealth #PWA `#Frontend' Live Demo →

FastAPI · scikit-learn · PostgreSQL · Docker End-to-end backend service that exposes a trained ML model via a REST API. Handles data ingestion, feature engineering, model inference, and result persistence — all containerised with Docker for one-command deployment. #FastAPI #Docker #MachineLearning #Python

FastAPI · CLIP · ResNet18 · PyTorch Multimodal backend that combines vision and language understanding to classify and analyse products. CLIP handles cross-modal embeddings; ResNet18 extracts visual features. Served via a FastAPI endpoint. #GenAI #ComputerVision #FastAPI #Python

React · Vite · Framer Motion · GSAP · tsParticles Animated community website for the ACM chapter — dark navy + electric cyan theme with particle effects and smooth scroll. Built and deployed as the chapter's public face for events and recruitment. #React #Frontend #GSAP

SQLAlchemy Alembic Pydantic

scikit-learn OpenCV pandas NumPy CLIP RAG LangChain FAISS

Leading one of the most active technical communities at VVIT by fostering innovation, collaboration, and industry-ready skills among students.

✅ Organized Udgama 1.0, ACM VVIT's flagship hackathon with multiple problem statements.

✅ Conducted 25+ technical events, including:

• AI & Machine Learning Workshops
• Web Development Bootcamps
• Competitive Programming Contests
• Git & GitHub Sessions
• Open Source Contribution Drives
• Technical Speaker Sessions

✅ Built a collaborative ecosystem connecting students with industry practices, modern technologies, and real-world software development.

"Building developers, not just graduates." 🚀

I'm actively looking for Backend Python Developer roles — with a bonus if the product touches AI or ML. If you need clean APIs, solid database design, and a developer who ships — let's talk.