Varun Kumar
pursuing a B. Tech in Computer Science & Engineering with hands-on experience in software testing, machine learning, and full-stack development. Complemented by foundational training in Data Science from IIT Madras. Seeking internship and entry-level opportunities to apply technical skills in building and testing scalable software systems.
Experience
Testing Intern
Fos Automations
Executed manual and functional test cases across multiple modules, identifying and documenting defects with clear reproducibility steps. Collaborated with the development team to track defect resolution and verify fixes through regression testing. Contributed to improving test coverage by reviewing requirements and drafting structured test scenarios.
Education
SRM Institute of Science and Technology (SRMIST)
Bachelor of Technology
CGPA: 8.8 / 10 Relevant Coursework: Data Structures & Algorithms, Object-Oriented Programming, DBMS, Operating Systems
Indian Institute of Technology (IIT) Madras
Bachelor of Science
Foundation Level Completed (Diploma Ongoing) – CGPA: 6.7 / 10 Relevant Coursework: Probability, Statistics, Python
Skills
PythonJavaSQLCHTMLCSSPandasNumPyScikit-learnMatplotlibSeabornKerasPyTorchOpenCVNLTKSpaCyFlaskStreamlitFastAPIREST APIsMyPostgreMongoDBSQLiteGitVS Code
PROJECTS
ResumeIQ
Developed a resume analysis platform using Python, Flask, and Streamlit that parses uploaded resumes, extracts relevant skills, and generates tailored improvement recommendations. Implemented NLP-based parsing pipeline to compare candidate profiles against job descriptions and surface skill gaps.
Image-Based Breed Recognition of Cattle
Built a deep learning image classification system using Tensor Flow, Keras, and OpenCV to identify cattle breeds from images with high accuracy. Designed and trained a CNN model with custom preprocessing pipelines; evaluated performance across multiple breed categories.
AI-Powered Bharatanatyam Mudra Recognition System
Tech Stack: Python, Tensor Flow, Keras, OpenCV, Media Pipe, HTML, CSS, FastAPI/Flask
Developed a deep learning-based application to recognize Bharatanatyam hand mudras from uploaded images and real-time webcam input. Built and trained a Convolutional Neural Network (CNN) on a custom dataset of Bharatanatyam mudras for accurate gesture classification. Integrated Media Pipe for hand landmark detection and OpenCV for image preprocessing and real-time computer vision. Designed a user-friendly web interface that displays the predicted mudra along with its meaning and cultural significance. Implemented image preprocessing, model training, inference pipeline, and real-time prediction for an end-to-end AI application.
SKILLS
Languages
Python, Java, SQL, C, HTML, CSS
ML / DL / CV / NLP
Pandas, Num Py, Scikit-learn, Matplotlib, Seaborn, Tensor Flow, Keras, Py Torch, OpenCV, Media Pipe, NLTK, Spa Cy
Web / Frameworks
Flask, Streamlit, FastAPI, REST APIs
Databases
MySQL, PostgreSQL, MongoDB, SQLite
Tools & Platforms
Git, Jupyter Notebook, Google Colab, VS Code, Postman, Linux, Microsoft Office
Testing
Manual Testing, Functional Testing, Test Case Design, Defect Reporting
Core CS
Data Structures & Algorithms, Object-Oriented Programming, DBMS, Operating Systems
Soft Skills
Problem Solving, Analytical Thinking, Cross-functional Collaboration
ACHIEVEMENTS & LEADERSHIP
Winner – Cloudathon Hackathon
Competed and secured first place in the Cloudathon Hackathon, delivering a working solution under time constraints.
Vice President, Cyborg Club | Regional Coordinator, IIT Madras BS Degree Program
Led club initiatives and events as Vice President of Cyborg Club, coordinating student projects and workshops. Served as Regional Coordinator for IIT Madras BS Degree Program, facilitating communication and support for enrolled students in the region.