👋 Hello, I'm
Sanjai K
Passionate AI/ML Engineer with hands-on experience in Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision IEEE Published Researcher focused on building real-world intelligent systems.
👋 Hello, I'm
Passionate AI/ML Engineer with hands-on experience in Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision IEEE Published Researcher focused on building real-world intelligent systems.
MCA CGPA
AI Projects
Certifications
IEEE Publication
Transforming ideas into intelligent AI solutions
I'm an MCA graduate from Hindustan Institute of Technology & Science with a CGPA of 9.46.
My interests include Machine Learning, Deep Learning, Computer Vision, Data Engineering, Data Analytics, and Generative AI.
I'm currently exploring Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, LangGraph, Hugging Face, AI Agents, and MLOps to build production-ready AI applications.
A strong academic foundation combined with continuous learning has shaped my passion for Artificial Intelligence and Machine Learning.
CGPA : 9.46 / 10
Percentage : 79.62%
Developed an AI-powered Chest X-ray Disease Classification model using TensorFlow, MobileNet and Grad-CAM. Focused on Explainable AI and Medical Image Analysis.
Built machine learning prediction models, performed Exploratory Data Analysis, Classification and Data Visualization using Python.
A collection of AI, Machine Learning, Computer Vision, NLP and Data Engineering projects built to solve real-world problems.
AI-powered Multi-Document Question Answering System built using Retrieval-Augmented Generation (RAG), LangChain, FAISS, Ollama Llama 3, and Streamlit. Supports semantic search, source citations, retrieved context, and multiple document formats.
Developed an automated brain tumor segmentation model using Deep U-Net architecture on MRI scans. The research was published under IEEE Madras Section.
Designed an AI-powered Image Caption Generator using VGG16 and LSTM trained on the MS COCO dataset to generate natural language image descriptions.
Built an explainable AI model using MobileNet, TensorFlow and Grad-CAM for disease detection from Chest X-ray images.
Published under the IEEE Madras Section and presented at the International Conference on Computing, Robotics, Renewable Energy and Emerging Technologies (ICCRTEE 2026).
Academic Excellence Award
Medical AI Research Paper
ICCRTEE 2026
Algorithms & Analysis
NPTEL
NPTEL Elite
MongoDB Basics for Students
Hindustan Institute of Technology & Science
Data Analytics using SQL & Cloud Services
24-Hour National Hackathon
MCA Final Year
Medical AI Research
ICCRTEE 2026
Hands-on AI Development
I'm actively looking for opportunities as a Machine Learning Engineer, AI Engineer, or Data Engineer. Feel free to reach out!
Whether it's an internship, freelance work, AI research, or a full-time opportunity, I'd love to collaborate.