Experience & Background
I am a Sr. Software Engineer with 4+ years of experience architecting resilient distributed systems, enterprise commerce backends, and production AI agent workflows. My engineering focus centers on deep Medusa.js customization (authoring open-source npm plugins, media adapters, fulfillment providers, payment gateways, and ERP synchronization modules), high-scale database performance engineering (reducing complex PostgreSQL queries across 200,000+ SKUs from ~40s to <6s with Redis caching), and autonomous LLM orchestration using Python and FastAPI. I champion Clean Architecture, SOLID principles, zero-downtime releases, and developer mentorship — aligning engineering excellence directly with measurable business velocity and high-concurrency production reliability.
Skills
Skills & Toolkit
Core engineering toolkit & architectural competencies:
- Architect, develop, and operate high-throughput distributed backend services, asynchronous event queues, and REST/GraphQL APIs using Node.js, TypeScript, Python, FastAPI, Next.js, PostgreSQL, Redis, and Docker.
- Lead cross-functional engineering teams through technical RFCs, sprint planning, accurate estimation, pull request reviews, and developer mentorship, establishing engineering best practices across the organization.
- Engineered database query optimizations and caching architectures (PostgreSQL indexing, query plan profiling with EXPLAIN ANALYZE, and Redis multi-tier caching), slashing query latency by 85% on 200,000+ SKUs.
- Architected end-to-end multi-agent AI platforms with FastAPI, Celery, and LLM tool-calling integrations, automating resume parsing, semantic matching, and dynamic candidate interview evaluations.
- Built modular enterprise headless commerce systems (Medusa.js / Payload CMS / Next.js) featuring custom dynamic pricing engines, multi-tier inventory synchronization, and zero-downtime deployments.
- Enforced Clean Architecture, SOLID principles, OAuth 2.0/JWT security, fine-grained RBAC, and containerized CI/CD automation across production cloud environments on AWS.
Bachelor of Engineering in Computer Engineering with foundational focus on Data Structures, Algorithms, Distributed Computing, Database Management Systems, and Object-Oriented Software Design.
200,000+ SKU Database & Redis Cache Optimization
Reduced enterprise product filtering query latency from ~40 seconds to under 6 seconds (85% reduction) by profiling query plans with EXPLAIN ANALYZE, creating composite and GIN indexes, and introducing multi-tier Redis caching for 200,000+ store-specific SKUs.
Medusa.js Open Source & Enterprise Plugin Ecosystem
Authored and published community plugins on npm (@jaykanjia/medusa-file-cloudinary) and engineered production fulfillment, payment gateway, CMS, and ERP synchronization plugins powering high-volume enterprise commerce platforms.
Production Multi-Agent AI Hiring Platform Architecture
Architected an end-to-end AI recruitment platform using FastAPI, Celery, and modern LLMs — orchestrating automated resume parsing, semantic job matching with vector embeddings (pgvector), and real-time conversational technical evaluations via SSE.
Modular Composable Commerce & Dynamic Spot Pricing Engines
Engineered reusable headless commerce microservices and modular pricing calculation engines in Medusa.js and Payload CMS, supporting multi-tier wholesale/retail pricing, dynamic gold/silver bullion spot calculation, and real-time multi-branch inventory sync.
Technical Leadership, Clean Architecture & Cloud Reliability
Led backend and full-stack engineering delivery across concurrent enterprise products — enforcing Clean Architecture, SOLID principles, automated Docker/CI/CD pipelines on AWS, and maintaining 99.9% uptime while mentoring engineers.