B.Tech IT student at KIIT (2023–2027) specializing in Deep Learning, Cybersecurity & intelligent systems. IIT Guwahati certified in Deep Learning & Computer Vision. Builder of production-grade AI applications.
Flask-based AI system that predicts diseases from voice input in English & Bengali. Integrated real-time speech recognition, ML model inference, multilingual symptom mapping, and responsive UI.
Transforms structured logic/pseudocode into clean, multi-language code (C, Java, Python) with dedicated logic editor and optimized code generation.
Privacy-first offline AI assistant using FastAPI + Ollama (phi3, CodeLlama). Features file upload, live Python execution, real-time streaming chat with syntax highlighting.
Deep learning system for network protocol classification using PyTorch & Wireshark. Achieved 86.6% accuracy on unseen traffic data. Published research paper.
Image classifier using MobileNetV2 and transfer learning. Trained on Kaggle dataset with strong generalization performance across 120 breeds.
Desktop app for visualizing Excel data using Tkinter, Pandas, and Matplotlib for non-technical users..
Python-based voice-controlled assistant enabling hands-free coding, app launching, and real-time commands inside VS Code.
Developed a PyTorch-based neural network for multi-class classification on the Iris dataset, featuring custom training loops, performance visualization, and efficient data preprocessing using Pandas, NumPy, and Scikit-learn.
I'm a B.Tech IT student at KIIT University (2023–2027) with a deep passion for building intelligent systems that solve real-world problems.
My work spans AI/ML, Deep Learning, Cybersecurity, and Remote Sensing — from developing multilingual medical assistants to analyzing satellite data for climate research.
I hold certifications from IIT Guwahati in Deep Learning and Computer Vision, and have completed internships at industry and national institutions including Rashtriya Raksha University and ObjectSol Technologies.
Currently exploring IoT and expanding towards full-stack AI deployments. Always curious, always building.
Open to internships, research collaborations, and full-time roles in AI/ML and related fields. Let's connect.