VENKAT BALAJI S
Mobile: +91 9342467612 | Email: venkatbalaji2004@gmail.com | Neelpuram, Tamil Nadu, India
EDUCATION
Bachelor of Technology in Computer Science Engineering, Vellore Institute of Technology 2022-2026
CGPA: 9.40/10.0
High School (12th Grade), Kamlavati Higher Secondary School (CBSE) 2020-2022
Percentage: 97.2%
SKILLS
Programming: Python, Java, C++, C, HTML, CSS, JavaScript
Frameworks & Libraries: PyTorch, TensorFlow, Flask, Django, Ray RLLib
Tools & Technologies: MySQL, Git, Docker, Bash, ROS2, Oracle 12c, PL/SQL, RAG
Other: Data Analysis, Linux Bash, DSA, Networks, 8051 Assembly, KNN, SVM, CNN, LSTM
WORK EXPERIENCE
Research Intern, Samsung PRISM, Samsung R&D Institute Bangalore (SRI-B) Sept 2024-Present
• Fine-tuning large language models (LLMs) for automation in software development workflows
• Collaborating with a research team to enhance model scalability and streamline LLM integration into production
environments
Machine Learning Intern, Sanjeevi Technology Solutions June 2024-July 2024
• Developed and optimized a Retrieval-Augmented Generation (RAG) system, reducing hallucinations by 40%
• Integrated LLMs and embedding models from Hugging Face with custom RAG solutions
Research Intern, Automotive Research Centre - VIT Aug 2023-Feb 2024
• Worked with ROS2, QGroundControl, Gazebo for autonomous vehicle simulations and path planning optimization
PROJECTS
Custom Web Crawling and RAG Integration with LLM July 2024
• Developed a custom web crawler using Selenium for efficient data retrieval
• Enhanced RAG retrieval and cleaning mechanism with Scrapy-Splash for JS site scraping
• https://github.com/VBS2004/RAG-LLM--Retrievel-from-google
Real-Time Web Chat Application Oct 2024
• Full-stack real-time chat app with Flask-SocketIO backend and React frontend
• Implemented user authentication, real-time user status, and private messaging using WebSocket
• https://github.com/VBS2004/Realtime-Web-Chat-Application
Fake Scene Detection - CIDAUT AI Challenge Nov 2024
• Developed CNN model for fake scene classification achieving 60% accuracy
• Designed a binary classification pipeline using custom architecture in PyTorch
• https://github.com/VBS2004/CIDAUT-Fake-Scene-Detection
Quiz Application with MySQL-Python Connector 2021
• Developed a quiz application using Python with MySQL for backend data storage
• Implemented user authentication and scoring system to track quiz performance
• Integrated MySQL for real-time question retrieval and answer validation
• https://github.com/VBS2004/Quiz-Application
CERTIFICATIONS
AWS Certified Solutions Architect – Associate Amazon Web Services, Aug 2024 – Aug 2027
https://www.credly.com/badges/67d45d4b-6d3b-4d95-8a07-5127320d25fc/linked_in_profile
SQL (Advanced) Certificate HackerRank, Oct 2022
Credential ID: E6B521537E82
https://www.hackerrank.com/certificates/e6b521537e82
Python (Basic) Certificate HackerRank, Sep 2022
Credential ID: F1BE791054CD
https://www.hackerrank.com/certificates/f1be791054cd
EXTRACURRICULAR ACTIVITIES
• Shortlisted for VOIS International Hackathon 2023 - Cryptography Project
• 2nd Place in Binary Battles at Gravitas 2023, VIT
LINKS
LinkedIn: https://www.linkedin.com/in/venkat-balaji-s/ GitHub: https://github.com/VBS2004
