Sekkappan
Vinaitheerthan

Machine Learning Engineer

Computer Science & Engineering Student specializing in AI, Machine Learning, and innovative technology solutions with hands-on experience in cloud deployments and real-world applications.

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About

Email: kathir0516@gmail.com

Phone: +91 9003715467

DOB: September 16, 2005

Institution: VIT Chennai

Year: Third Year, Batch'27

I'm a passionate Computer Science & Engineering student at Vellore Institute of Technology, Chennai, specializing in Machine Learning, Artificial Intelligence, and innovative technology solutions. My journey in tech is driven by the potential of intelligent systems to solve complex real-world problems.

With extensive hands-on experience in developing AI-powered systems, cloud deployments, and full-stack applications, I've contributed to cutting-edge projects ranging from automated hiring pipelines to smart robotics systems. My expertise spans across multiple domains including deep learning, natural language processing, and cloud computing.

From winning national hackathons to publishing patents, I believe in the power of continuous learning and applying cutting-edge technologies to create meaningful impact. My goal is to push the boundaries of what's possible with artificial intelligence and machine learning.

Technical Expertise

Programming Languages

Python C++ C Java JavaScript HTML/CSS MySQL Arduino

AI & Machine Learning

Machine Learning Deep Learning NLP Reinforcement Learning Feature Engineering TensorFlow PyTorch

Libraries & Frameworks

Pandas NumPy Matplotlib Scikit-learn Flask Django ReactJS Seaborn Tkinter

Cloud & DevOps

AWS Cloud Docker Kubernetes Git/GitHub EC2 S3 Lambda DynamoDB

Specialized Domains

Robotics Cyber Security Data Structures Algorithms Pattern Recognition Computer Vision

Core Coursework

Data Structures Algorithms Machine Learning Deep Learning Reinforcement Learning Feature Engineering

Featured Projects

Interview Voice Bot

AI & Web Project - Contributed to building an automated hiring pipeline featuring resume screening, audio and video interview agents, and comprehensive end-to-end cloud deployment. Integrated advanced NLP capabilities with real-time processing for seamless candidate evaluation.

Earthquake Management System

A comprehensive disaster response platform that helps in the aftermath rescue process by connecting rescue agencies together. Streamlines coordination, resource allocation, and communication channels for efficient emergency response operations.

Smart Air Purifier

An intelligent air purifying robot that works using advanced pattern recognition technology. Features autonomous navigation, environmental sensing, and adaptive purification algorithms based on real-time air quality analysis.

Differential Case Flow Management System

A sophisticated platform designed to assist the Judicial system in organizing and managing case workflows. Improves efficiency in legal proceedings through automated scheduling, document management, and progress tracking systems.

Anonymous Crime Reporter

A secure platform allowing people to report crimes anonymously while ensuring the legitimacy of reports. Features advanced verification systems, privacy protection protocols, and automated threat assessment capabilities.

Professional Experience

Machine Learning Engineer Intern

Value Leaf IT Solutions (UK-based)

May 2025 - July 2025

  • Contributed to the development of an AI-powered voice interview automation pipeline, featuring real-time interaction, dynamic questioning, and personalized feedback delivery systems
  • Integrated OpenAI, LangGraph, and LiveKit technologies to support structured agent workflows and real-time voice communication with dynamic question generation capabilities
  • Handled comprehensive cloud deployment on AWS, including setting up EC2 instances, storing resumes on S3, creating DynamoDB tables for user information and triggered automation using Lambda functions

Research Intern

IIIT Hyderabad

June 2024 - July 2024

  • Worked on using Machine Learning techniques to predict material properties in the advanced Materials Science domain with focus on polymer characteristics
  • Utilized multiple popular frameworks in deep learning and developed recurrent neural network algorithms for enhanced performance model optimization
  • Gained comprehensive understanding of various machine learning and deep learning algorithms, successfully applying them to real-world data in the Material Science domain to predict polymer properties of interest

Achievements & Recognition

🏆

Smart India Hackathon 2022

Winner in Smart India Hackathon 2022 Junior Category - Recognized for innovative problem-solving and technical excellence in national-level competition

📋

Patent Publication

Successfully published patent for Smart Air Purifier innovation - Demonstrating commitment to intellectual property development and technological advancement

🥈

National Design Championship

Runner-up in the 2021 National Design Championship Senior Category - Demonstrated exceptional design thinking and innovative problem-solving capabilities

🎓

IIT Madras Workshop

Attended specialized workshop at the IIT Madras Centre for Atomistic Modelling and Materials Design focused on Machine Learning applications in Material Science