Electronics & Telecommunication Engineering Student | Machine Learning • Computer Vision • Applied AI
Mumbai, India
I am a final-year Electronics & Telecommunication Engineering student at Thadomal Shahani Engineering College (CGPA: 8.5/10).
My work spans machine learning, computer vision, and applied AI systems, with hands-on experience in both software and embedded systems.
I am particularly interested in building AIML-driven systems with real-world constraints
Programming Languages
- Python, Java (DSA), Embedded C, familiar with SQL
Machine Learning & AI
- Computer Vision, NLP
Generative AI & LLMs
- Retrieval-Augmented Generation
- LangChain, Prompt Engineering
Web & Backend
- FastAPI, Streamlit
- SQLAlchemy
- HTML/CSS (familiar), Next.js & Tailwind CSS (familiar)
Cloud & Deployment
- Streamlit Cloud
- Firebase
- Google Earth Engine
Embedded Systems & IoT
- MSP430, STM32, NodeMCU, Arduino, Raspberry Pi
- FPGA (academic)
- I2C sensors, system integration, debugging
Industrial Assembly Verification System (Computer Vision)
- Designed and trained a YOLOv8 object detection model from scratch on a custom industrial parts dataset
- Built a real-time web application for assembly verification with BOM comparison
- Implemented post-processing logic to detect missing, extra, and low-confidence components
- Developed a scalable backend using REST APIs for image ingestion, inference, logging, and downloadable inspection reports
- Simulated edge-device image ingestion via HTTP POST for industrial camera readiness
- Tech: YOLOv8, FastAPI, HTML/CSS, Firebase
- Deployed publicly on Hugging Face Spaces
ScholarVerse — AI Research Assistant Platform
- AI-powered research assistant for academic literature discovery and analysis
- Integrated arXiv API for paper search and metadata retrieval across research domains
- Built a Retrieval-Augmented Generation (RAG) pipeline for grounded Q&A over single and multiple papers
- Designed document chunking, embedding, and retrieval workflows for scalable context handling
- Implemented a modular multi-LLM backend to experiment with different models for reasoning and synthesis
- Tech: React, Tailwind CSS, RAG, arXiv API, Multi-LLM pipeline
Embedded Systems & IoT Projects
- Built Smart Door System, Automatic Cycle Signal Indicator, and Mini Weather Station
- Worked with NodeMCU, STM32, MSP430F, Arduino, Raspberry Pi, and FPGA platforms
- Focused on sensor integration, real-time data handling, and system-level debugging
- Finalist (4th place), AI Hackathon at IIT Madras (SHAASTRA 2026)
- Participant, GitGrade Hackathon (UnsaidTalks)
- Participant, Google Developers Club TSEC Designathon
- Member, UI/UX Design Team – Computer Society of India (TSEC)
- Building applied AI systems
- Improving depth in ML, AI systems, and research workflows