Experience and background
What I have built and led over 3+ years, and the tools I use in production.
Who I am
I am a Sr. Software Engineer at The Special Character in Ahmedabad, where I lead backend work on commerce and AI products. Most of what I do sits on Medusa.js, PostgreSQL, Redis and Python services.
I own architecture and estimation, review code and mentor engineers across several products at once. I like clear service boundaries, releases without downtime, and results I can measure.
Right now I am open to senior backend roles, and to Medusa.js and performance consulting.
- Role
- Sr. Software Engineer
- Experience
- 3+ years
- Location
- Gandhinagar · office in Ahmedabad
- Focus
- Backend · Commerce · AI
Distributed backend systems
High-concurrency Node.js and FastAPI services with asynchronous task queues.
Headless commerce and migrations
Medusa.js plugins, multi-tier pricing engines, payment adapters and migrations without downtime.
Database and caching tuning
PostgreSQL optimisation and Redis caching: filtered search on 200k+ SKUs from ~40s to under 6s.
Production AI and agent workflows
Multi-agent orchestration, structured and repeatable agent steps, and pgvector semantic retrieval.
Career timeline
Roles, client engagements and the results behind them.
Lead backend architecture, distributed system design, and full-stack delivery across enterprise commerce, SaaS, AI, and marketplace platforms. Direct technical roadmaps, mentor engineers, and maintain production reliability.
- 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), cutting filtered search latency on 200,000+ SKUs from ~40s to under 6s.
- 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.
- Node.js
- TypeScript
- Python
- FastAPI
- Next.js
- PostgreSQL
- Redis
- Docker
- AWS
- AI Agents
CONTRACT ENGAGEMENTCloudQuarks B2B Cloud MarketplaceHexalytics · Redington Group · Backend Engineer (at Hexalytics) · Sept 2025 - Mar 2026
Worked on backend services for CloudQuarks, Redington Group’s B2B cloud marketplace: subscriptions, vendor onboarding, catalog management, pricing and order workflows across 200,000+ SKUs.
40s → <6sAdvanced Search200k+ SKUsCatalog Size- Reworked catalog search and indexing across 200,000+ SKUs with PostgreSQL query and index optimisation and Redis caching, cutting advanced search response time from ~40s to under 6s.
- Built modular commerce services and asynchronous workflows for vendor onboarding, credit validation and subscription provisioning.
- Integrated external enterprise systems and took part in architecture discussions, production deployments on AWS and debugging.
- Node.js
- Medusa.js
- PostgreSQL
- Redis
- Docker
- AWS
ENTERPRISE HEADLESS COMMERCEShopify to Medusa.js Headless ReplatformingAviagone · Ecigone UK · Medusa.js Lead Architect & Replatforming Specialist · Production Replatforming
Architected and executed an end-to-end headless migration of ecigone.co.uk from monolithic Shopify to Medusa.js, keeping UK compliance rules, tiered wholesale/retail pricing, loyalty points, and custom checkout flows, with no checkout downtime.
0sDowntime50k+ MigratedCustomer Accounts<100msPromotional Latency- Built automated data migration pipelines transferring 50,000+ customer accounts, historical order records, complex product catalog matrices, and SEO-critical redirects with no checkout downtime and no data loss.
- Reverse-engineered and ported complex Shopify app integrations (dynamic tiered pricing, age verification compliance, loyalty points, multi-variant bundle builders) into modular Medusa.js services.
- Engineered high-concurrency Redis caching layers and database queries ensuring sub-100ms catalog responses during peak UK flash promotions and holiday traffic surges.
- Medusa.js
- Next.js
- TypeScript
- PostgreSQL
- Redis
- Stripe
Tools I use in production
- Languages
- TypeScript
- Python
- SQL
- Backend
- Node.js
- FastAPI
- GraphQL
- Celery
- Frontend
- Next.js
- React
- Tailwind CSS
- Database & Cache
- PostgreSQL
- Redis
- pgvector
- Meilisearch
- Commerce & CMS
- Medusa.js
- Payload CMS
- Shopify APIs
- AI & LLM
- OpenAI API
- Claude API
- Cloud & DevOps
- Docker
- AWS
- GitHub Actions
- Linux
Academic background
2020 - 2024 · Cumulative CGPA: 8.45 / 10
B.E, Computer Engineering
LDRP Institute of Technology and Research, Gandhinagar, Gujarat
Bachelor of Engineering in Computer Engineering with foundational focus on Data Structures, Algorithms, Distributed Computing, Database Management Systems, and Object-Oriented Software Design.
Visit institution
Certifications and credentials
Azadi Ka Amrit Mahotsav 2022
SSIP Hackathon Finalist
Finalist in SSIP Hackathon (Azadi Ka Amrit Mahotsav 2022) for designing and developing a centralized government meeting and scheduling orchestration platform.
View credentialNPTEL (IIT Kharagpur)
Programming in Java (Top 5% Learner)
Completed rigorous Java programming certification offered by IIT Kharagpur with 91% score, placing in the top 5% of learners.
View credential
Results I am proud of
01
200,000+ SKU Database & Redis Cache Optimization
Reduced enterprise product filtering response time from ~40 seconds to under 6 seconds by profiling query plans with EXPLAIN ANALYZE, creating composite and GIN indexes, and adding Redis caching, for 200,000+ store-specific SKUs.
02
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.
03
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.
Have a role or a project in mind?
I am open to senior backend roles, Medusa.js customisation and performance work.