About Me
AI/ML Engineer and Data Science graduate with hands-on experience in Machine Learning, Deep Learning, Generative AI, and Agentic AI systems. Skilled in building end-to-end AI applications using Python, FastAPI, LangChain, LangGraph, RAG, and LLM technologies. Experienced in developing intelligent systems including AI-powered medical assistants, multimodal tutoring platforms, healthcare RAG applications, and fitness recommendation systems. Proficient in modern AI frameworks such as PyTorch, TensorFlow, Hugging Face, FAISS, and XGBoost, with strong software engineering skills across React, FastAPI, Docker, AWS, and cloud-based deployments. Passionate about solving real-world problems through AI and actively seeking AI/ML Engineer, Generative AI Engineer, Machine Learning Engineer, and Data Science opportunities where I can contribute to building impactful intelligent products.
Skills & Technologies
Work Experience
Data Science Intern
Built an AI-powered Prescription Generation System using LangGraph for clinical decision support. Implemented Map-Reduce workflows for parallel medical image analysis, improving processing efficiency. Developed a RAG pipeline to combine patient history and diagnostic findings for context-aware prescriptions. Built robust error handling and FastAPI pipelines for reliable real-time output delivery.
Artificial Intelligence Intern
Built a CNN-based plant disease detection system for potato leaf classification. Applied preprocessing and augmentation using TensorFlow/Keras to improve model performance. Achieved 97% accuracy through model optimization and tuning. Deployed an application for real-time disease prediction.
Projects
VoxMed-AI-App
• Built an AI-powered multimodal medical assistant using voice and image inputs. • Integrated Whisper, Llama Vision, and Groq APIs for speech and image understanding. • Developed an end-to-end Speech → LLM → Voice interaction pipeline. • Enabled low-latency AI responses for real-time conversational diagnosis support.
Zoho Projects Chatbot
A state-of-the-art, conversational AI assistant that connects to Zoho Projects via its REST API (specifically tailored for the Zoho India Region). Users authenticate with their own Zoho accounts via a secure OAuth 2.0 flow, interacting with a stateful multi-agent LangGraph system running on FastAPI and a premium, responsive glassmorphic React frontend.
Calorie AI
Built an AI-powered fitness ecosystem for calorie tracking and personalized health coaching. Integrated XGBoost for calorie prediction based on physiological and activity data. Developed an AI meal analyzer using Groq Llama Vision for automated nutrition extraction. Built an intelligent fitness coach using LangGraph, RAG, and contextual memory. Enabled personalized recommendations through multimodal AI and real-time data insights.
Math Mentor AI
Built a multimodal AI tutor for solving mathematical problems from text, image, and voice inputs. Integrated OCR and Speech-to-Text pipelines for handwritten and spoken query understanding. Developed a LangGraph + LangChain workflow for step-by-step mathematical reasoning. Implemented Human-in-the-Loop validation and session memory to improve response reliability.
MedRAG
Built a medical RAG system for generating structured revision notes from clinical documents. Developed an OCR pipeline using Tesseract for extracting and preprocessing text from PDFs and images. Implemented FAISS and Hugging Face embeddings for context-aware semantic retrieval. Integrated MedGemma via Ollama to generate grounded and clinically relevant responses.
Education
B.Tech in Computer Science and Engineering (Specialization: Data Science)
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