I am a Computer Engineering student and aspiring Machine Learning Engineer with hands-on internship experience in machine learning, deep learning, NLP, and full-stack web development.
I have built, trained, evaluated, and tuned classification, regression, and NLP models for business use cases. My work includes data preprocessing, feature engineering, experimentation, and selecting models based on accuracy, F1 score, and inference latency.
I have experience deploying trained machine learning models as REST APIs using FastAPI and Docker. I am also familiar with building retrieval-augmented and conversational AI features using LLM tools, LangGraph, Groq, and vector databases.
Alongside AI work, I have developed responsive frontend applications with React and built RESTful backend APIs using Node.js, Express.js, MongoDB, and Mongoose. I understand authentication, validation, CRUD operations, and application-state management.
My projects include an AI classroom attendance system, GAN-based face generation, and a real-time AI gym coach using webcam-based pose estimation. I am motivated to apply my skills in machine learning and software engineering to solve practical problems.
I am currently completing my Bachelor of Technology in Computer Engineering and seeking opportunities to grow as an AI, machine learning, or software engineering professional.
Worked with TensorFlow for numerical computation and deep learning model training during a machine learning internship.
Implemented and optimized machine learning algorithms for real-world business problems, with a focus on improving prediction accuracy.
Built and trained classification, regression, and NLP-based machine learning models for business use cases. Developed preprocessing and feature-engineering pipelines, conducted model evaluation and hyperparameter experiments, and compared models using accuracy, F1 score, and inference latency.
Deployed trained models as REST APIs with FastAPI and Docker. Worked with Groq, LangGraph, and vector databases on LLM, retrieval-augmented, and conversational AI features; maintained Python development environments and documented experiments and model architectures.
Developed responsive and reusable React.js UI components, managed application state with Hooks and Context API, and integrated REST APIs for dynamic data rendering.
Built RESTful APIs with Node.js and Express.js, including authentication, request validation, and business logic. Designed MongoDB schemas, used Mongoose for optimized queries, and implemented CRUD operations.
Bachelor of Technology, Computer Engineering
CGPA: 7.48/10.0.
This professional hasn’t added portfolio projects yet.
This professional hasn’t listed any services yet.
