Building scalable REST APIs, production-grade backends, and AI-integrated systems. FastAPI · PostgreSQL · Docker · GenAI.
Get to know me better
I am a Backend Python Developer specialising in building clean, scalable REST APIs and integrating ML/AI into production systems. Final-year B.Tech CSE (AI & ML) student at VVIT, Andhra Pradesh.
My core stack is FastAPI + PostgreSQL + Docker + SQLAlchemy. I design relational schemas, build concurrency-safe systems, and containerise everything for reproducible deployment. I also bring AI/ML as a differentiator: CLIP/ResNet18 multimodal pipelines, scikit-learn models, and LLM integrations into real backend services.
As ACM Chairperson at VVIT, I organised Udgama 1.0 (100+ participants) and executed 25+ technical workshops, bootcamps, and competitions in 2025-2026. Also secured 2nd place at AUNSF 3.0 Startup Competition.
Mastering the tools that bring ideas to life
Advanced · HackerRank 5★ Gold
REST APIs · Async · Swagger
Schema Design · Transactions
ORM · Alembic Migrations
Containerisation · Deployment
PyTorch · scikit-learn · CLIP
RAG · Gemini · Vertex AI
Vertex AI · Gemini · Certified
Version Control · CI/CD
Vite · Framer Motion · GSAP
Pandas · NumPy · OpenCV
DSA · Problem Solving
Transforming ideas into reality through code
Production-grade fleet management backend. Concurrent reservation locking with SELECT FOR UPDATE, department-based access control, driver license validation, maintenance scheduling with conflict detection, full vehicle lifecycle tracking, and a complete audit trail with trip odometer and fuel validation.
Production-ready exam management backend with JWT authentication, timed session handling, submission locking, and result storage. Normalised PostgreSQL schema with Alembic migrations and clean router-level separation of concerns.
Full-featured shopping cart REST API with product management, cart operations, order processing, and user authentication. Containerised with Docker for one-command deployment.
End-to-end backend exposing a trained ML model via REST API. Handles data ingestion, feature engineering, model inference, and result persistence - fully containerised with Docker for one-command deployment.
Multimodal backend combining vision and language understanding to classify and analyse products. CLIP handles cross-modal embeddings; ResNet18 extracts visual features - all served via a FastAPI endpoint.
Animated community website for the ACM chapter with dark navy + electric cyan theme, particle effects, and smooth scroll. Built and deployed as the chapter's public face for events and recruitment.
Continuous learning and growth
HackerRank
AUNSF 3.0 — Anurag University
NPTEL · IIT Madras
NPTEL · Top 1% · IIIT Delhi
NPTEL
Google Cloud Skill Boost
L4G · Google Cloud Skills Boost
IBM — edX
Microsoft
Microsoft
Microsoft
Simplilearn — SkillUp
GITAM University
I'm actively looking for Backend Python Developer and AI/ML Engineer roles. If you need clean APIs, solid database design, and a developer who ships — let's talk.