Full-Stack & AI Engineer · GoParkEasy
I build AI-powered
products that work.
Currently at GoParkEasy — shipping RAG chatbots, real-time booking systems, and full-stack SaaS for real users. I don't just call LLM APIs; I build the systems around them.
Selected work
Things I've built
Production products, SaaS, and AI integrations — built to solve real problems, not demos.
ParkBuddy
RAG support bot for GoParkEasy
Production RAG chatbot built on Google Gemini and MongoDB vector search, integrated with WhatsApp to autonomously resolve 60–70% of Tier-1 support queries in under 2 seconds and cut support-team load.
AI Receptionist
Real-time voice AI receptionist
Voice AI receptionist using Retell AI, GPT-4o-mini, and Gemini 2.0 Flash with LLM tool-calling for appointment booking, waitlist capture, and human escalation — plus a Next.js + Supabase dashboard for call logs, scheduling, analytics, and billing.
GoParkEasy Platform
Production SaaS parking platform
Production-grade SaaS parking platform on Next.js 15, Node.js, and MongoDB — 450+ REST APIs across a 51-collection schema with 5+ role-based access tiers and a real-time availability engine.
FixMyResume
AI resume analyzer with JD matching
AI-driven resume optimization platform leveraging Gemini + NLP to score resumes against job descriptions across 1,000+ semantic data points, raising ATS match scores by 35%. JWT-secured REST APIs and a React/Tailwind UI.
YT2Notes
YouTube videos → study notes
Converts YouTube videos into organized study notes using AI summarization, with Google OAuth for secure auth.
Who I am
Backend systems,
meet LLMs.
I'm a Full-Stack and AI Engineer based in Maharashtra, India — building AI-powered features and production systems at GoParkEasy, working across the stack from RAG pipelines to real-time infrastructure.
I've built a production RAG chatbot with Google Gemini and MongoDB vector search, architected a full-stack SaaS parking platform, and designed fault-tolerant async pipelines — always focused on making AI useful in real products, not just demos.
Outside work I'm obsessed with what's next in AI tooling — voice agents and agentic workflows — and I trade the Indian markets on the side, which keeps me sharp on risk and decisions under uncertainty.
The stack
What I work with
Frontend
Backend
AI / ML
ML Frameworks
Databases & Cloud
Tools & Integrations
Languages
Credentials
Certifications
100 Days of Code: Python Pro Bootcamp
Udemy
Issued Sep 2024
Artificial Intelligence Primer
Infosys Springboard
Issued Mar 2024
The path
Experience & education
Full-Stack & AI Engineer
GoParkEasy
Nov 2025 – Present · Mumbai, India
- →Built ParkBuddy, a RAG-based AI chatbot (Google Gemini + MongoDB vector search) that autonomously resolves 60–70% of Tier-1 support queries in under 2 seconds.
- →Engineered a multi-tier caching system (Upstash Redis + in-memory LRU) informed by Python/SQL EDA, cutting database load by 10–20%.
- →Led a fault-tolerant async job pipeline with BullMQ processing 1000+ booking events/day with ~40% fewer manual processing errors.
- →Shipped real-time availability updates with Redis Streams and WebSockets, eliminating polling for 100+ concurrent users.
Full-Stack Engineer · Intern
GoParkEasy
Aug 2025 – Nov 2025 · Remote
- →Architected a production-grade SaaS parking platform (Next.js 15, Node.js, MongoDB) with 450+ REST APIs across a 51-collection schema and 5+ role-based access tiers.
- →Built a real-time availability engine with Redis Streams and Socket.io processing 100 events/5s, plus a QR-based check-in system with Puppeteer.
- →Resolved MongoDB indexing bottlenecks across 51 collections, boosting operational throughput by 15%.
Machine Learning Intern
Infosys Springboard
May 2024 – Jul 2024 · Remote
- →Led development of BikeWatch, a production CV system using YOLOv5 + DeepSORT to flag helmet violations and triple-riding from live traffic streams, boosting enforcement efficiency by 45%.
- →Achieved 85% classification accuracy on a multi-rider detection module and automated violation uploads to AWS S3, cutting data-handling overhead by 60%.
- →Mentored a 5-member intern cohort through weekly knowledge-sharing workshops.
BTech, Computer Science & Engineering
Dr. D Y Patil Pratishthan's College of Engineering
Dec 2021 – Jun 2025 · Kolhapur, Maharashtra
- →Computer Science with a strong foundation in software development, data structures, databases, and machine learning.
What's next
Let's build something
Open to full-time AI Engineer and Full-Stack roles — in India and remote. Also happy to chat about freelance work or collaborations.