Headline

AI-Native Backend Engineer | Building the infra behind intelligent apps — FastAPI · LangChain · Node.js · AWS | Open to consulting & collaboration

About

I build the backend infrastructure that makes AI-powered products fast, reliable, and scalable. With 2+ years in production SaaS environments, I've led a full migration from a Laravel monolith to a distributed Node.js/React architecture, redesigned a CRM email engine that improved deliverability across 10,000+ audience segments, and shipped event-booking and SMS automation systems used in live client workflows. Right now I'm most excited about where AI meets backend engineering — specifically building agentic pipelines and LLM-integrated APIs using LangChain, FastAPI, and cloud-native tooling on AWS. Core stack: Python · FastAPI · Django · Node.js · PostgreSQL · MySQL · Docker · AWS · LangChain Happy to connect with founders, product teams, and fellow engineers building AI-powered products. Open to collaboration, technical consulting, or just a good conversation about what's possible with LLMs and backend architecture.

Location

Jodhpur

Work experience

Backend developer at ExeLance IT, Jan 2024 - Present · 2 yrs 6 mos, Surat, Gujarat, India, Building and maintaining scalable backend systems across multiple SaaS products, working closely with remote teams and contributing to product innovation. → Architected and executed a full CRM migration from Laravel to React/Node.js — reducing page load times by ~60% and eliminating a 2-year backlog of critical bug reports within 3 months of launch. → Redesigned the CRM email engine, fixing compliance violations affecting 10,000+ contacts — achieving 99%+ deliverability and eliminating user complaints within the first deployment cycle. → Architected and implemented an event booking system (similar to Google Calendar) with email threading, enabling structured client communication within the CRM. → Built automated cronjob pipelines for email and SMS campaign delivery using Twilio, enabling scheduled, targeted outreach at scale. → Optimised database queries in MySQL/PostgreSQL, reducing query execution times and improving API response performance across services. → Mentored and trained interns, conducted code reviews, and helped team members debug and ship features on time. → Proactively researched and introduced AI productivity tools to the team, sharing insights on industry trends and emerging technologies to drive team efficiency. Stack: Node.js · React · Python · Django · FastAPI · MySQL · PostgreSQL · Twilio · Docker · REST APIs

Education

Master of Computer Applications - MCA, Computer Science, Parul University

BCA, Computer Science, Lachoo Memorial College of Science & Tech