Medium Article
navya bijoy
building scalable backend systems and robust infrastructure
I'm Navya, a Software Engineer who builds high-performance backend services and automated platforms, from self-healing Kubernetes clusters to SaaS integration gateways. Check out my projects section :)
what i do
- Owned end-to-end feature delivery for a customer-facing production application serving 5,000+ daily active users, shipping Java-based backend services in Agile sprints.
- Optimized system reliability by engineering JUnit & Mockito test suites, expanding code coverage by 15% and preventing critical production bug leaks.
- Streamlined operational workflows by designing rule-driven automation in Java, reducing manual handoffs by 10% and increasing system throughput by 13%.
- Delivered a scalability-focused Proof of Concept (POC) simulating 10,000+ concurrent requests to validate high-availability architecture for a critical release milestone.
- Designed and shipped a REST API backend product with role-based access control (RBAC), validating security via 50+ Playwright end-to-end tests across 4 user roles.
- Migrated 10GB+ of binary asset storage to AWS S3, improving response latency by 30% and ensuring 0% unauthorized access.
open source
- Integrated 7 Databricks MCP tools, enabling AI agents to query SQL Warehouses, Vector Search indexes, and Unity Catalog functions.
- Engineered a read-only safety/guardrail layer for LLM tool-calling, blocking destructive SQL operations.
- Resolved a live multi-session race condition via two-layer PID validation across Linux and Windows.
- Contributed Machine Learning models spanning data preprocessing, training, and evaluation.
- Finished in the top 0.7% of contributors, merging 9 PRs into high-traffic ML repositories.
education
- CGPA: 9.83/10
- Academic Excellence Award: Scored 10/10 SGPA in III, V, VIII Semester. Secured 3rd for academic performance in SRM.
achievements
- LeetCode Knight (1909): Ranked in the top 4% globally across 800k+ participants. Placed 63 in weekly contest.
- Google DeepMind Hackathon: Top 25 Team at Bangalore Hackathon (2026), selected from top 250 participants out of 4000+ applicants.
- Research: Presented "Hybrid Learning and Enhancing Strip Steel Surface Defect Detection Using Adaptive FusionNet Framework" at an International Conference.
- Hack Summit 5.0: Won "Best Scalable Idea" and a cash prize among 200+ participants.
what excites me
I'm drawn to problems involving distributed systems, infrastructure automation, and backend scalability. Right now I'm deep into learning Go and Kubernetes, building robust platforms that can handle complex workflows and self-heal during failures.
let's connect
Want to discuss backend systems, collaborate on projects, or just chat about tech? Feel free to reach out!
projects
- Built pre-deployment chaos testing platform that injects realistic tool failures to detect harmful agent behavior; categorizes failures across 4-quadrant matrix (safe/degraded vs. honest/silent); ships 38 preset scenarios across 6 tool domains (payments, database, email, filesystem, HTTP, search).
- Engineered a production-ready TypeScript monorepo CLI with a YAML scenario DSL, stateful mock environments, replayable test bundles, and Markdown/JSON/HTML reporting for reproducible CI testing.
- Built an end-to-end system that detects silent API breaking changes (enum removals, unit shifts, nullability creep) through LLM-powered semantic probes and deterministic verification.
- Implemented AST-based call-site locator with 5-step verification pipeline; reduced false positives from 41 candidates to 6 verified findings; handles destructuring, aliasing, and optional chaining.
- Architected a pluggable Go SDK enabling third-party API integration (GitHub, Slack, Stripe) with zero core-engine changes.
- Automated API documentation generation via runtime schema introspection, eliminating manual OpenAPI 3.x maintenance.
- Built a background schema-drift monitor flagging breaking upstream changes within 30 seconds.
- Developed an automated remediation system handling 6 alert types via Prometheus/Alertmanager webhooks, reducing MTTR from 5+ minutes to under 60 seconds.
- Provisioned scalable, self-healing infrastructure across 3 Availability Zones using Terraform.
- Configured autoscaling (2–10 replicas) with CI/CD-enforced validation on every deployment.
- Built a multi-user agentic memory system that creates persistent knowledge graphs from browser-captured activity, supporting 500K+ embeddings.
- Implemented secure multi-tenant architecture using JWT + API-key authentication and a FastAPI backend.
- Built a self-serve two-stage data pipeline that clusters demand data and ranks candidate sites across 17+ variables.
- Architected an async REST API / microservice with a custom WebSocket manager for streaming live scoring progress.
- Designed a two-tiered SQLite coordinate cache with dynamic weight redistribution to cut redundant API calls.
- Designed an asynchronous backend microservice where REST API services enqueue jobs into Redis for independent worker processing.
- Architected job lifecycle management with persistent state tracking via PostgreSQL/JPA and retry logic guaranteeing at-least-once delivery.
- Benchmarked 100 jobs/sec system throughput with horizontal scalability.
- Built a semantic search and recommendation engine using 128D embeddings for intent-aware product discovery with sub-10ms matching latency.
- Architected a full-stack marketplace using MongoDB Atlas and Supabase, decoupling 100% of binary assets for high performance.
- Built an AI-powered pantry tracking system with real-time Supabase storage and Gemini-based recipe generation.
- Trained a MobileNet model achieving 96% image recognition accuracy and deployed it to Hugging Face.
posts
Building
Retrieval Augmented Generation based Chatbots
Unraveling
Tidy Data: Lessons from Hadley Wickham’s Research
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