I build software across AI, backend systems, and infrastructure.

Professional experience across backend platforms, applied machine learning, distributed workflows, and production reliability.

1. RUN-01RUNNING

   Sep 2025 — Present

   Software Developer

   Honeywell

   • ▸Architected a seller operations platform with real-time slot enforcement, conflict detection, and role-based access control, enabling 80% self-service adoption and reducing operations requests by 45%.
   • ▸Shipped low-latency pricing and availability services with asynchronous handlers and idempotent writes, sustaining sub-150 ms p95 response times and reducing booking conflicts by 33%.
   • ▸Designed an LLM-powered onboarding pipeline with structured output validation, reducing seller clarification cycles by 40%.
   • ▸Built a RAG semantic search service with embeddings and pgvector that surfaced contract guidance in under two seconds and reduced first-week support tickets by 25%.
   • ▸Streamlined CI/CD releases with GitHub Actions, Docker, and AWS ECS using blue-green deployments, automated smoke tests, and staged rollouts, cutting deployment time from 30 minutes to under 10.
   • ▸Improved production reliability with structured logging and automated health checks, diagnosing distributed API failures and data inconsistencies through logs, metrics, and database traces.

   • Python
   • FastAPI
   • Node.js
   • DynamoDB
   • LangChain
   • pgvector
   • AWS ECS
2. RUN-02COMPLETE

   Jun 2025 — Aug 2025

   Machine Learning Engineer

   IConsult

   • ▸Built a personalized clothing recommendation system using collaborative filtering and behavioral signals, achieving 78% Precision@10 with cold-start strategies for new users.
   • ▸Developed real-time recommendation APIs and persistent interaction models for a swipe-based marketplace experience, improving click-through rate by 24%.

   • Python
   • Collaborative filtering
   • Recommendation APIs
3. RUN-03COMPLETE

   Jan 2022 — Jul 2024

   Software Engineer

   Mindtree

   • ▸Designed Java Spring Boot microservices and secure REST APIs for enterprise workflow management, including approval routing, task orchestration, audit tracking, and role-based access control.
   • ▸Reduced p95 API latency from 1.8 seconds to 320 ms through query optimization, indexing, pagination, and connection-pool tuning.
   • ▸Built asynchronous Spring Batch and Redis pipelines with idempotency, retries, and failure recovery, improving reliability by 30%.
   • ▸Delivered a React dashboard with drag-and-drop Kanban boards and role-based views, improving enterprise client engagement by 35% and reducing onboarding time by 40%.
   • ▸Containerized services and strengthened CI/CD workflows, reducing post-release defects by 37% across delivery cycles.
   • ▸Led production incident resolution using log analysis, SQL diagnostics, and API tracing, then partnered with product, frontend, QA, and client teams to turn complex workflows into reusable services and well-defined API contracts.

   • Java
   • Spring Boot
   • Hibernate
   • PostgreSQL
   • Redis
   • Docker