About
Software Engineer with 4 years of experience building backend, cloud, and AI-driven systems. I specialize in Python, Django, distributed services, observability, and applied AI workflows including RAG, agents, document intelligence, computer vision, and developer productivity tools.
Work Experience
Avive Solutions
- ⦿ Led backend architecture improvements for data-heavy geospatial services, migrating core modules to PostgreSQL + PostGIS and improving spatial query performance and map accuracy by 60%.
- ⦿ Built and operated production microservices on AWS ECS with CloudWatch monitoring, CI/CD pipelines, and rollback-safe deployments supporting 99.9% uptime.
- ⦿ Re-architected Docker pipelines with multi-stage builds, reducing image size by 90%+ and cutting deployment time by 40%.
- ⦿ Designed centralized observability with the ELK stack, enabling fast search and analysis across 10M+ production logs.
- ⦿ Eliminated N+1 query patterns and duplicate database calls, reducing slow queries by 50%+ and improving API latency for high-traffic workflows.
Zartek Technologies Pvt. Ltd.
- ⦿ Designed and deployed microservice-based REST APIs for bookkeeping and subscription workflows used by 10K+ users.
- ⦿ Integrated Veryfi, QuickBooks, and RevenueCat into production backend systems, connecting document extraction, accounting, and subscription data flows.
- ⦿ Architected authentication and notification workflows with Firebase Authentication and FCM, achieving 99.9% reliability for user-facing events.
- ⦿ Built AWS Lambda and S3 serverless workflows that improved release velocity by 25% and reduced operational overhead.
- ⦿ Introduced Redis caching on high-traffic data paths, reducing API latency by 35% and improving backend responsiveness.
Fero
- ⦿ Developed backend services for a logistics automation platform using Django and Django REST Framework, supporting RBAC, async APIs, and real-time operations.
- ⦿ Designed PostgreSQL + PostGIS data models for route optimization and geospatial workflows, reducing trip planning time by 30%.
- ⦿ Built real-time data pipelines with WebSockets and asynchronous endpoints for live delivery tracking and operational visibility.
- ⦿ Integrated Google Maps API and OpenStreetMap GeoJSON data for large-scale geospatial processing and route intelligence.
Languages
Frameworks & Libraries
AI Engineering
Cloud Platforms & DevOps
Databases
Tools
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

FirstCommit
AI developer onboarding agent that helps new engineers understand repositories, documentation, setup steps, and code ownership faster. Built around natural-language repo questions, retrieval-grounded answers, and guided onboarding workflows to reduce repeated senior-engineer interruptions.

Chat Craft (Chatbot As a Service)
Enterprise RAG platform for ingesting internal documents and delivering context-aware LLM responses. Designed retrieval, prompt construction, inference orchestration, and API workflows with room for future model and vector store upgrades.
I like building things
I use hackathons to prototype ambitious AI, cloud, and systems ideas quickly, from agentic disaster response workflows to legal QA engines and IoT safety systems.
- C
CalHacks 12.0
Palace of Fine Arts, San Francisco, CA
Built AgentAid, an AI disaster-response network that converts multilingual voice/text requests into structured needs, prioritizes urgency, and matches victims with nearby supplies in real time. - C
Cloudathon by AWS
San Jose State University, San Jose, CA
Built and deployed a cloud-native prototype using AWS services, focusing on scalable architecture, rapid delivery, and production-style deployment workflows. - L
LLM x Law Hackathon #5
Stanford University, Palo Alto, CA
Led a 4-person team to build a GPT-4-powered legal QA engine using LangChain and vector search, achieving 90%+ accuracy on long-contract questions and ranking among the top teams in a 9-hour Stanford hackathon. - O
Odoo Hackathon
Gandhinagar, Gujarat, India
Selected among the top 150 teams from 600+ teams across India for a 24-hour product-building hackathon. - S
Smart India Hackathon (SIH) - Hardware Edition
Nadiad, India
Led a 6-person team to the SIH Hardware semi-finals with an IoT IV-fluid monitoring system using low-level detection and automated nurse notifications.
Get in Touch
Want to chat? Just shoot me an email with your query and I'll respond as soon as possible
