Headline

Backend Engineer | Python · FastAPI · Node.js · Spring Boot | PostgreSQL · Redis · AWS | Building APIs & Distributed Systems for Scale

About

I build backend systems that survive real traffic — not just demo-day demos. Over the past two years, I’ve designed and shipped production APIs, real-time messaging infrastructure, and distributed services using FastAPI, Spring Boot, Node.js, PostgreSQL, and Redis. I work across the full backend lifecycle: database schema design, API contract design, caching strategy, concurrency tuning, authentication/authorization architecture, and cloud deployment on AWS. What that looks like in practice: • Scaled a real-time chat backend to 100+ concurrent users at sub-100ms latency, replacing database polling with Redis Pub/Sub and increasing message throughput by 60% • Cut SaaS page load times by 25% and reduced API error rates by 20% at Answerbase (founding team) through SSR, request pipeline refactoring, and structured error boundaries • Built a Blog API handling 200+ concurrent requests at <50ms average response time with JWT + RBAC — zero unauthorized access incidents across full testing I care about maintainable code and measurable performance. Whether it’s optimizing a slow query, designing a clean REST contract, or choosing the right datastore for the job, I make decisions that hold up when user count grows from 10 to 10,000. Currently open to backend and full-stack roles at product-focused startups and tech companies. If you’re building something ambitious, let’s talk.

Location

Bhubaneswar

AI stack

cursor

github copilot

langchain

openai

Work experience

Software Engineer (Founding Team) at Answerbase, Sep 2025 - Feb 2026 · 6 mos, Remote, Joined as a founding engineer on a 0→1 SaaS product; owned end-to-end delivery of core features from API architecture to production deployment Redesigned RESTful API contracts with request batching and Redis caching, improving data flow efficiency by 40% and reducing redundant network overhead Cut page load time by 25% through server-side rendering (SSR), intelligent lazy loading, and React state management optimizations Built 15+ reusable UI components in React/Next.js, reducing feature development time by 30% across product iterations Reduced API error rates by 20% by refactoring asynchronous request handling pipelines and implementing structured error boundaries Led architecture reviews on 3+ core system design decisions directly influencing product roadmap and scalability planning

GitHub Repository Search Service · Personal Project at Personal Project, Nov 2025 - Dec 2025 · 2 mos, • Integrated the GitHub REST API to aggregate metadata across 500+ repositories into a queryable service. • Designed filtering, sorting, and cursor-based pagination endpoints — no latency degradation beyond 10,000+ records. • Optimised PostgreSQL queries with composite indexes, improving retrieval speed by 45%.

Blog API System · Personal Project at Personal Project, Oct 2025 - Nov 2025 · 2 mos, • Designed 10+ RESTful endpoints using FastAPI with a modular architecture (routers, services, schemas) — reduced codebase coupling by 50%. • Implemented JWT authentication and RBAC; achieved zero unauthorized-access incidents across full test suite. • Handled 200+ concurrent requests with <50ms average response time through async request validation. • Documented all endpoints with Swagger/OpenAPI; cut developer onboarding time by 40%.

Real-Time Chat System · Personal Project at Personal Project, Jul 2025 - Aug 2025 · 2 mos, Remote, • Engineered a real-time chat backend sustaining 100+ concurrent users at sub-100ms message delivery latency. • Designed a multi-room, event-driven architecture using Redis channels — zero message loss under peak load. • Replaced DB polling with Redis in-memory streaming, improving message throughput by 60%. • Built 12+ REST endpoints for messaging, session management, and chat history; optimised PostgreSQL queries with composite indexes cutting response time by 35%. • Tuned Spring Boot thread pooling to handle a 3× increase in simultaneous connections without performance degradation.

AI Developer Intern at CIT, Aug 2024 - Sep 2024 · 2 mos, Remote, Built a real-time face recognition inference pipeline using Python, OpenCV, and MLP deep learning models, served via REST API at <200ms latency Improved model recognition accuracy by 15% through data augmentation, feature extraction tuning, and hyperparameter optimization Reduced end-to-end ML processing time by 40% and deployed model behind a backend API for live consumer use

JPMorgan Chase (via Forage) · Software Engineering Virtual Experience at JPMorgan Chase (via Forage), Mar 2023 - May 2023 · 3 mos, Remote, Processed real-time financial data streams across 5+ market API endpoints for anomaly detection on trading dashboards Authored 20+ unit and integration tests validating data integrity and API pipeline stability Completed an open-source contribution as a bonus deliverable

Education

Bachelor of Technology (B.Tech), Computer Science and Engineering, KIIT - Kalinga Institute of Industrial Technology