About Me
Iβm a passionate and driven AI/ML Engineer with hands-on experience building intelligent systems powered by deep learning, computer vision, and large language models. My work spans voice-to-code generation, real-time video analytics, and health risk prediction β all focused on solving real-world problems using cutting-edge AI. π§ I specialize in: Building end-to-end ML solutions using Python, PyTorch, TensorFlow, and Hugging Face Applying LLMs like GPT and Code LLaMA to automate complex tasks Developing real-time computer vision systems using YOLOv8 and OpenCV Creating explainable and responsible AI apps with SHAP and GPT integrations Deploying ML models using Streamlit, Flask, and cloud platforms (AWS/GCP) π± Currently exploring opportunities to contribute to mission-driven projects in national security, defense innovation, and impactful AI applications. π Highlights: π§βπ» Developed Voice2Code, a real-time voice-to-code generator using Whisper and Codex πΉ Built a restaurant surveillance dashboard that classifies people from RTSP feeds π©Ί Created HealthGPT, an AI tool for chronic disease risk prediction with explainable insights π€ Interned at Boston Consulting Group and HydratexFarm working on generative AI and agricultural automation π B.Tech in Data Science (2024), with strong foundations in machine learning, data visualization, and statistical analysis. Letβs connect if youβre hiring for AI/ML roles, collaborating on innovative AI applications, or simply want to exchange ideas in the world of emerging tech.
