AI/ML Engineer building intelligent systems across ML, deep learning, NLP, computer vision, and IoT.
I'm an aspiring AI/ML Engineer with a strong foundation in machine learning and deep learning. I enjoy building industry-level technologies and transforming complex data into actionable insights.
My focus includes AI, Machine Learning, Deep Learning, NLP, Automation Workflows (n8n), IoT systems, and clean product design.
A showcase of my work in AI, Machine Learning, and IoT systems.
Designed and built an online storefront for Buzzko, a playful accessories brand selling keychains, phone charms, and frames.
Built an AI-driven health monitoring webapp for elderly users with simplified step-by-step logging of vitals (BP, sugar, Hb, weight) and real-time risk scoring. Developed AI Nutrition Tracker using Gemini API to parse Indian meals (Hindi/Odia input) and generate macronutrient insights aligned with ICMR standards. Designed an anaemia risk prediction model using Hb trends and dietary intake with early warning alerts. Implemented SOS emergency system with one-tap alert, live GPS tracking, and SMS integration.
Developed Local Drop, a secure peer-to-peer file transfer application enabling seamless file sharing between devices over local networks using WebRTC DataChannels, eliminating the need for cloud storage or third-party servers. Implemented real-time encrypted file transfer with chunked streaming, progress tracking (percentage, speed, ETA) and bidirectional sharing (laptop to phone and vice versa).
Developed a ChatGPT-like chatbot that runs completely on a local laptop using phi3, llama3, and mistral via Ollama. Works fully offline with no internet or API dependency, ensuring total data privacy.
Designed and implemented a microcontroller-based automatic room light system with a bidirectional counter using an infrared sensor and Arduino Uno, enabling lights to toggle based on human presence. Developed the control logic using Embedded C (Arduino IDE), integrated infrared relay switching, and documented the design with flowcharts and circuit diagrams.
Implemented a centralised file-sharing network with dynamic IP allocation using DHCP and secure FTP-based file transfer across multiple departmental subnets, connected via static routing and DHCP relay in Cisco Packet Tracer.
Performed rigorous EDA, feature engineering (lags and rolling statistics) and achieved improved forecasting accuracy measured via RMSE, MAE, R², and MAPE. Worked with real Indian agricultural market price data (23K+ records) to study price trends and volatility. Designed and trained a Random Forest regression model achieving strong performance (R² ≈ 0.88). Explored deep learning models such as LSTM, GRU, and Transformer architectures.
Built an intelligent conversational chatbot using transformer models trained on Cornell Movie Dialogs datasets, enabling human-like responses through contextual understanding and a self-attention mechanism. Fine-tuned the model for relevance, tone consistency, and response quality using beam search and sampling.
Open to collaborations, research, and engineering roles in AI / ML.