Final-year Information Technology engineering student from Pune, India (Savitribai Phule Pune University) with strong experience in full-stack development, distributed systems, and AI-driven applications.

I focus on building production-grade systems, designing scalable architectures, and integrating modern AI capabilities into real-world products.

Current interests include:

• Full-stack web and mobile development
• AI systems using LLMs and NLP
• Scalable backend architecture
• Automation and developer tooling

Languages

Python Java JavaScript HTML CSS

Frameworks

React.js Next.js React Native Node.js Express.js

Databases & Storage

PostgreSQL MongoDB MySQL Redis Firebase VectorDB

AI / ML

Natural Language Processing Large Language Models RAG Generative AI Hugging Face LangChain Agentic AI

Tools

Git Docker Postman GitHub Actions JavaFX n8n

Delxn Technologies — 2025

• Worked onsite on SkyStruct V2 Lite, a Dubai-based construction management system
• Contributed to production deployments and feature modules
• Collaborated with senior engineers on scalable architecture improvements

Celebal Technologies — May 2025 – Jul 2025

• Built modern Quora- and Spotify-style interfaces using reusable React components
• Integrated REST APIs and optimized UI performance and responsiveness
• Delivered production-ready components in Agile development sprints

EY GDS & Edunet Foundation — Feb 2025 – Mar 2025

• Developed a production Expense Manager used by 100+ users
• Implemented JWT authentication and role-based access control
• Optimized backend logic and reduced response time by ~30%

Next.js • React Native • Node.js • MongoDB • Firebase

• Built a freelance production system for automating dairy supply chain operations
• Developed multi-role dashboards for Producer, Vendor, Retailer, and Customer
• Implemented barcode-based billing and inventory automation using phone camera scanning
• Designed scalable backend APIs and role-based workflows

Next.js • Firebase • Gemini NLP

• Developed an AI-powered resume analysis and semantic candidate scoring system
• Integrated Gemini NLP for multilingual candidate evaluation
• Implemented secure role-based access using Firestore rules

MERN • AI • PDF/CSV Parsing

• Processed 1000+ financial transactions from PhonePe, GPay, and bank statements
• Built an AI-based expense classification engine
• Developed a mobile-first financial insights dashboard

Next.js • Kotlin • Firebase

• Developed a meal tracking, billing, and attendance system
• Built a Kotlin Android app for real-time attendance and bill access
• Implemented role-based access control and automated workflows

Savitribai Phule Pune University (SPPU) Bachelor of Engineering — Information Technology

CGPA: 8.9 / 10

• Python for Data Science — IBM (Coursera)
• Generative AI for Data Science — Microsoft
• Azure AI Internship — Microsoft / AICTE / Edunet
• Product & Innovation Challenge — Round 2

Portfolio https://tejasfolio.in

LinkedIn https://www.linkedin.com/in/tejasin

GitHub https://github.com/Tejas164321