I am pursuing a B.Tech in Computer Engineering from Pimpri Chinchwad University (PCU) and a BS in Applied AI & Data Science from IIT Jodhpur. My interests lie in software engineering, AI/ML, and full-stack development. with a strong interest in software engineering, AI/ML, and full-stack development. I learn best by building my projects are how I bridge the gap between coursework and real-world engineering.
My current focus is on developing practical skills across the full software stack: designing clean REST APIs, working with relational databases, building responsive frontends, and exploring how machine learning can be applied to real problems. I take a structured approach to learning, working through concepts methodically and then applying them in projects I can share and iterate on.
I am drawn to the intersection of software engineering and applied AI not just as academic subjects, but as tools for building things that are genuinely useful. Every project I build teaches me something that a textbook cannot.
Open To:
SDE Internships AI/ML Internships Research Opportunities Open Source Collaboration Hackathons
Languages
Frontend
Backend & Databases
Cloud, DevOps & Tooling
| Domain | Proficiency | Details |
|---|---|---|
| Web Scraping & Data Extraction | ████████░░ Advanced | BeautifulSoup, Selenium, background jobs, anti-bot handling |
| Machine Learning Core | ██████░░░░ Intermediate | Supervised/unsupervised learning, feature engineering, scikit-learn |
| Natural Language Processing | ██████░░░░ Intermediate | Text classification, embeddings, basic semantic search |
| LLM Applications | ██████░░░░ Intermediate | Prompt engineering, Claude/OpenAI APIs, basic agentic patterns |
| Deep Learning | █████░░░░░ Beginner–Intermediate | Neural network fundamentals, PyTorch basics, learning actively |
| Backend & REST APIs | ███████░░░ Intermediate | FastAPI, PostgreSQL, SQLAlchemy, Alembic, JWT auth |
| Data Pipelines | ██████░░░░ Intermediate | ETL concepts, ORM-based persistence, structured data storage |
| Agentic AI & RAG | █████░░░░░ Exploring | MCP concepts, retrieval-augmented generation, tool-use patterns |
AI-powered legal intelligence platform that simplifies legal documents, highlights risky clauses, generates ready-to-use agreements, and provides structured access to Indian legal resources.
Next.js TypeScript Firebase AI
AI-powered mental wellness and productivity platform focused on personalized support, intelligent insights, and user-centric experiences.
React TypeScript AI Firebase
Unified AI-powered workspace combining code intelligence, guided learning, and creative ideation into a single distraction-free environment.
TypeScript AI React Productivity
Designed and developed an editorial-style event landing page with interactive UI, responsive layouts, and modern frontend engineering practices.
HTML CSS JavaScript
| Recognition | Details |
|---|---|
| 🏛️ IIT Bombay Techfest — Designer | Delivered two full editions of official landing pages (2025 & 2026) for Asia's largest tech festival |
| 🤖 Claude Code Community — Invited Participant | Selected for Claude Code meetup and Anthropic Impact Lab (Mumbai) focusing on agentic workflows and MCP |
| 🔧 Production-Grade Systems as Undergrad | Shipped PricePulse — a full-stack AI product with JWT auth, scraper engine, and real-time React UI |
| 📈 Self-Directed Curriculum | Completed structured 9–12 month AI/ML roadmap spanning math, ML core, deep learning, and LLM engineering |
| 🌐 Full Stack Fluency | End-to-end ownership from PostgreSQL schema → FastAPI → React dashboard without external mentorship |
IBM
OPSWAT
Cisco Networking Academy
Oracle
learning:
- Deep learning architectures (transformers, attention mechanisms)
- Retrieval-Augmented Generation (RAG) system design
- MLOps: model serving, monitoring, and deployment pipelines
- System design for distributed, high-availability backends
building:
- PricePulse: AI-powered e-commerce price intelligence (FastAPI + React)
- Agentic workflows using Anthropic Claude API + MCP tooling
- Open source developer tools for the AI/ML community
exploring:
- LLM fine-tuning and prompt optimization patterns
- Vector databases and semantic search infrastructure
- Cloud-native architectures on AWS (ECS, Lambda, RDS)
- WebSockets and real-time full-stack data flows
open_to:
- Software Engineering Internships (backend, full-stack, AI/ML)
- Open source collaboration on developer tooling or AI products
- Research assistant roles in NLP, LLM, or applied ML
- Hackathons, community projects, and technical writing
Engineering is not about writing code — it is about solving the right problems with the right systems, built to last.