Headline

Building AI-Powered SaaS Products That Ship to Production | Full-Stack Engineer · RAG · FastAPI · Next.js | CGPA 9.07 | Hiring-Ready

About

I build AI-powered systems that go beyond tutorials and into production. Most CS students are still cloning Netflix. I've spent the last two years designing and shipping full-stack AI systems with real backends — caching layers, async pipelines, vector search, multi-tenant architectures, and Docker deployments. All while maintaining a 9.07 CGPA in Computer Engineering at SPPU. My two flagship projects tell that story clearly. IntelliTrack is an AI-powered GitHub issue intelligence platform I built from scratch — it uses RAG pipelines and vector embeddings to detect duplicate tickets and recommend contextual solutions, the kind of system that saves engineering teams hours every single week. FitSaaS is a live multi-tenant SaaS platform managing gym memberships end-to-end, built with JWT authentication, modular REST APIs, and a MongoDB schema optimized for real query performance — not just demo data. What I bring to a team: → RAG pipeline design and semantic search using ChromaDB and vector embeddings → Scalable REST API architecture with FastAPI and Node.js/Express → Full-stack product development with Next.js, React, and Tailwind CSS → Production deployment with Docker, async systems, and performance-first backend design → Database architecture across MongoDB and MySQL with real optimization decisions I don't just write code — I think about why a system is designed a certain way, what breaks under load, and what makes it maintainable six months later. That engineering mindset is what I bring to every project I touch. I'm currently in my final year and actively looking for Full-Stack or AI Engineering roles — full-time or internship — where I can contribute to a team building serious products. If you're working on something in AI, SaaS, or developer tooling, I'd genuinely love to connect. 📩 Reach me at saurabhmojad2173@gmail.com or DM me directly here. Full-Stack Engineer · AI Engineer · RAG Pipelines · FastAPI · Next.js · LLM Applications · SaaS Development · Vector Search · Docker · Backend Engineering

Location

Pune/Pimpri-Chinchwad Area

Work experience

Data Analyst at KasNet Technologies, Jan 2025 - Feb 2025 · 2 mos, Remote, Contributed to data analysis workflows at a technology firm, applying Python and Pandas to clean, validate, and surface insights from structured datasets. - Processed and cleaned structured datasets using Python and Pandas, improving data accuracy and reducing inconsistencies across reporting pipelines - Built analytical dashboards and reports that translated raw data into actionable insights, directly supporting data-driven decision-making for internal stakeholders - Performed end-to-end data validation workflows, identifying and resolving data quality issues to ensure reliable downstream analysis - Applied systematic preprocessing techniques across multiple datasets, strengthening data pipeline consistency and enabling faster turnaround on analytical deliverables

Education

Bachelor of Engineering - BE, Computer Science, Savitribai Phule Pune University

Bachelor of Engineering, Computer Engineering, Sinhgad Institute of Technology & Science