Lead Software Engineer with 7+ years designing and scaling mission-critical distributed systems and production-grade AI platforms. I lead engineering teams from architecture through delivery — blending deep systems expertise with hands-on AI engineering to ship products that move business metrics.

• 🏗️ Architect of event-driven microservices handling millions of transactions/day
• 🤖 Builder of 10+ AI/LLM systems across security, developer productivity, and quality engineering
• 👥 Leader who mentors engineers, drives design reviews, and sets technical direction
• 🔐 Deep expertise in secure, cloud-native architecture (JWT, OAuth2, Zero Trust, API Gateway)
• ☁️ Multi-cloud practitioner across AWS, Azure, and GCP
• 📚 Continuous learner — currently deep in LLM agents, RAG systems, and MLOps

Production-grade AI systems I've designed and built:

Autonomous agent that scans repositories, identifies CVEs & security anti-patterns, and auto-generates patched PRs with explanations.

LLM Orchestration · SAST Integration · RAG over CVE DB · GitHub Actions

Context-aware code completion tool trained on internal codebases — improves developer velocity with repo-aware suggestions beyond stock Copilot.

Embeddings · Vector DB (Pinecone/pgvector) · Fine-tuning · IDE Plugin

Reads production code + specs and generates unit, integration & edge-case tests — increased test coverage from 62% → 91% on pilot repos.

LLM + AST Parsing · JUnit/PyTest Generation · Mutation Testing Loop

Converts product specs (Confluence/Jira) into scaffolded services, DB schemas, and API contracts — accelerating greenfield delivery.

Multi-agent Workflow · OpenAPI Generation · Human-in-the-Loop

Bot that reviews PRs for correctness, security, and style — leaves inline comments and suggested diffs.

LangGraph · Static Analysis · Claude / GPT / Llama

Ingests logs/metrics/traces, correlates anomalies, and produces root-cause hypotheses during incidents — cut MTTR significantly.

Vector Search · Time-series Correlation · OpsGenie/PagerDuty Integration

Chat-based assistant over internal wikis, runbooks, and code — answers with citations.

Hybrid Search · Reranking · Guardrails · Access-Control-aware Retrieval

Automates migration of legacy APIs (SOAP → REST/GraphQL) with contract validation and regression tests.

AST Transformation · Contract Testing · LLM-guided Refactoring

Classifies incoming tickets, drafts responses, and resolves L1 issues autonomously — deflected ~40% of tier-1 volume.

Classification · Tool-use Agent · CRM Integration

Monitors data pipelines, detects schema drift & anomalies, and suggests remediations for data engineering teams.

Great Expectations · LLM-based Rule Generation · Slack Alerts

• Architected microservices for claims, payments, notifications & customer management
• Implemented Saga pattern for distributed transaction consistency
• Kafka-based event backbone processing 10M+ events/day
• Achieved 99.99% availability with circuit breakers, retries & idempotency

• High-throughput pipeline: Kafka + Spring Boot + Redis + Elasticsearch
• Sub-100ms end-to-end latency at peak load
• Horizontally scalable — proven at 100k+ events/sec

• Led lift-and-reshape of legacy platform to AWS EKS with multi-AZ HA
• Introduced Infrastructure-as-Code (Terraform) & GitOps (ArgoCD)
• Reduced infra costs by ~35% via right-sizing & spot workloads

• 🎯 Technical Direction — Own architecture roadmaps and RFCs across squads
• 🧑‍🏫 Mentorship — Coached 15+ engineers; run internal system-design & AI workshops
• 🔍 Code Reviews — Champion quality gates, secure-by-default patterns, testable code
• 📐 Design Reviews — Facilitate ADRs, trade-off analyses, and architectural alignment
• 🚦 Delivery — Balance velocity vs. reliability; drive incremental, low-risk rollouts
• 🗣️ Cross-functional — Partner with Product, Security, SRE, and Data teams

• 🤖 Agentic AI systems — multi-agent orchestration, tool-use, planning
• 🧠 Production LLMOps — evals, guardrails, cost/latency optimization
• 🏗️ Platform engineering — golden paths that make the right thing the easy thing
• 📈 AI + Systems intersection — using LLMs to make distributed systems self-healing

Build systems that scale.
Design systems that last.
Lead teams that grow.
Ship AI that thinks — responsibly.

⭐ If my work resonates, a star on my repos means a lot!