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Sumary

Keerthirajan Senthilkumar

I am currently pursuing a Master’s in Computer Science at George Washington University. My academic and professional journey has provided me with a strong foundation in software engineering, algorithms, and machine learning. Over the course of my experience, I’ve worked on developing responsive web applications and implementing machine learning models, combining technical precision with creative problem-solving.

  • Washington, D.C, USA
  • +1 (571) 220-6152
  • keerthirajans@gwu.edu

Education

Master's in Computer Science,   2024 - 2026

The George Washington University, USA.
  • Recipient of Dean's Scholarship Award.
  • Relevant Coursework: Design and Analysis of Algorithms, Advanced Software Paradigms, Computer System Architecture.

Bachelor's in Computer Science & Engineering,   2019 - 2023

Sri Venkateswara College of Engineering, India
  • Relevant Coursework: Data Structures, Natural Language Processing, Artificial Intelligence, Machine Learning and Algorithms, Business Intelligence, Advanced User-interface and Technology.

Professional Experience

Software Engineer Intern, TCS

Nov 2021 - Dec 2021

Chennai, India

  • Engineered a web app for real-time Twitter sentiment analysis, scraping product data to provide actionable insights for critical decision-making. Reduced inference runtime by 40% by incorporating data techniques such as subjectivity and polarity.
  • Leveraged Tweepy API for real-time Twitter data integration. Improved model prediction accuracy by 18% using TextBlob over traditional Machine Learning models.

Web Development Intern, The Sparks Foundation

May 2021 - Jun 2021

Singapore - Remote

  • Devised a fully responsive charity donation website integrating payment gateway with seamless transaction workflows and automated email receipts. Recognized for achieving 98% unit test code coverage for the core logic.
  • Utilized modern JavaScript frameworks and Bootstraps to enhance user experience and mobile compatibility.
  • Mentored a team of 5+ developers, facilitating pair programming sessions to improve code quality and foster collaboration.

Personal Projects

Team Lead, Emotion Based Food Recommending App

Sep 2024 - Nov 2024
  • Led a team of 5 to develop "MoodBites," a Kotlin-based Android application that recommends and tracks user meals based on their moods, enhancing mental well-being through data-driven insights.
  • Designed and implemented a scalable database with Firebase for efficient storage and real-time management of user meals, mood logs, and order information, including automated email receipts for order confirmations.
  • Optimized app performance, reducing load times and enhancing responsiveness to ensure a seamless user experience across devices.

Team Lead, GI Tract Segmentation

Nov 2022 - Mar 2023
  • Led a team of 3 developers to build ML model for segmenting Gastro-Intestinal Tract organs from tumors through MRI scans.
  • Applied Deep Context Metric Learning for advanced image clustering and processing—improved survival rates by 8% through targeted treatment focused on tumors rather than surrounding organs.
  • Optimized backend scalability to handle 38,000 masked 16-bit image datasets, reducing processing time from 5 hours to 2 hours for smoother operation.

Team Lead, Efficient Water Quality Analysis

Apr 2022 - Oct 2022
  • Designed an end-to-end model to analyze water quality using multiple factors such as turbidity and hardness.
  • Incorporated XGBoost to optimize memory usage and processing speed, resulting in 20% increased model's prediction accuracy.
  • Reduced computational load by using hyperparameter tuning and adjusting maximum depth and minimum sample split.
  • Deployed the model on IBM Cloud to optimize scalability by 1.5x better than local run.