Backend Engineer | Infrastructure Optimizer | AI Systems Architect
Building scalable platforms and developer tooling on AWS. I architect AI-powered systems adopted by 50+ managers, optimize infrastructure (81% cost reduction), and ship production code that matters.
I'm a Backend Engineer with 2+ years of production experience architecting AI-powered platforms and developer tooling. At DevDynamics, I've grown from intern to SDE 2, shipping features used by thousands of engineering teams.
My expertise spans full-stack backend: multi-agent LLM systems, microservices architecture, database performance optimization at scale (60M+ rows), and cloud infrastructure optimization (reduced AWS spend by 81%).
I'm passionate about solving hard engineering problems—whether it's building AI copilots adopted by 50+ managers, mentoring junior engineers, or cutting infrastructure costs through targeted optimization.
Current Role
SDE 2 @ DevDynamics
Location
Pune, India
Education
BTech IT (2021-25)
VIIT Pune • CGPA 9.1/10
Multi-agent Copilot Backend
Multi-agent copilot backend using LangGraph (supervisor/collector agents) and FastAPI with SSE streaming and parallelised data fetching. Adopted by 50+ managers across 100+ chat sessions.
Impact: 50+ manager adoption, 100+ active chat sessions
Tech Stack: FastAPI, LangGraph, PostgreSQL, AWS Lambda, SSE
Key Features: Multi-metric aggregation, parallel data fetch, streaming responses
AI-Powered PR Review Platform
End-to-end AI-powered PR review platform built in TypeScript. Architected ephemeral AWS infrastructure with Lambda-based repo cloning ensuring client source code is never persisted beyond a single invocation.
Architecture: ECS, SQS, Lambda, S3 with ephemeral compute
Security: Zero-persistence code handling, ephemeral execution
Collaboration: Built directly with CTO from prototype to production
Infrastructure Optimization & Architecture
Reduced AWS infrastructure spend from ~$4,200 to ~$800 per month through targeted compute and architecture optimization. Migrated ECS Fargate to self-hosted EC2, implemented peak/off-peak cron scaling, consolidated 10 load balancers into 2.
Optimizations: Fargate → EC2, ECS autoscaling, load balancer consolidation
Database: Cold-storage migration, replica removal, instance right-sizing
Result: 81% reduction while maintaining reliability
Query Optimization at 60M+ Row Scale
Diagnosed and resolved critical production correctness and performance issues in a 60M+ row PostgreSQL table. Applied CTE rewrites and index-friendly query restructuring to optimize 200+ generated query variants.
Issues Fixed: Timezone handling bug, 50+ shared SQL clauses
Performance: Worst-case query from >30s to <500ms, API latency 7–10s to 1–2s
Impact: Fixed data accuracy for international customers
DevDynamics • June 2026 – Present
DevDynamics • June 2025 – May 2026
DevDynamics • June 2024 – May 2025 (Full-time, concurrent with BTech)
IBM SkillsBuild's Global Remote Mentorship Program • Oct 2023 – Feb 2024
I write about cloud optimization, AI systems, database performance, and backend engineering
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