I'm a passionate technologist with a strong foundation in Artificial Intelligence, Data Science, and Full-Stack Development. Backed by hands-on experience in industry and academia, I specialize in building intelligent systems and AI-powered solutions that solve real-world problems. I'm currently pursuing my B.Tech in AI & Data Science at National Engineering College, Tamil Nadu, and will graduate in 2026.
- Languages: Python, SQL, Java
- Frameworks/Libraries: Pandas, NumPy, Scikit-learn, Streamlit, React, Flask
- Tools: Git, MongoDB, Jupyter Notebook, Power BI, VS Code
- Concepts: Machine Learning, Data Analysis, Generative AI, Prompt Engineering, Agile, Scrum
- Other Tools: PyMuPDF, Tesseract, Hugging Face, Anaconda, Gemini, ChatGPT
- B.Tech in Artificial Intelligence and Data Science
National Engineering College, Tamil Nadu, India
CGPA: 8.2/10.0 (Expected Graduation: May 2026)
Oct 2024 – Present
- Built LLM-based tools to optimize business operations and decision-making.
- Designed and optimized prompts, improving real-time response efficiency.
- Integrated GenAI into existing platforms, increasing user engagement and reducing latency.
- Researched latest GenAI APIs and frameworks for scalable solutions.
May 2024 – Aug 2024
- Developed QA systems using T5, RoBERTa, BERT, and BART models.
- Reduced QA model processing time by 20%, improved accuracy by 15%.
- Assisted in dataset preparation and academic paper drafting.
- Automated performance summaries and academic reports using AI.
- Reduced manual analysis time by 70% for educators.
- Tech Stack: React.js, Node.js, Tailwind CSS, Prompt Engineering, Agentic AI
Live Link
- Natural language chatbot interface for querying MongoDB.
- Cut query response time by 80% and reduced manual work by 50%.
- Tech Stack: React, Python, Flask, SambaNova API, PyMongo
GitHub Link
- AI-driven quiz and material generator based on learner profiles.
- Enhanced content relevance with prompt-tuned LLMs.
- Tech Stack: Python, Streamlit, Prompt Engineering
GitHub Link
- Developed a Streamlit app using Valhalla T5, RoBERTa to auto-generate QA pairs from PDFs.
- Includes difficulty classification and OCR-based text extraction.
- Conducted EDA on electoral data to analyze voting trends and party performance using Python & Excel.
- 🥇 Winner – Hybrid Hack, SRMIST
- 🥇 Winner – DigitalT3 Hackathon (Secured Internship Offer)
- 🥇 Winner – Google Hunt, National Engineering College
- 🥈 Runner-Up – Chatbot Design, Sri Eshwar College of Engineering
- Predictive Analytics & Visualization – SECE, Coimbatore (Sep 2023)
- Web App Development Workshop – BIT, Sathyamangalam (May 2023)
- ICRTDS 2024 – Presented research on AI-Driven Zero Trust
- Hack Elite 2024 – 24-hour hackathon participation
- AIIII 2024 – Presented work on collaborative data quality improvement
- AI Driven Zero Trust: Spearheading the Revolution in Network Security – ICRTDS 2024
- Collaborative Data Quality Improvement using AI & Python – AIIII 2024
- 🧠 Google Data Analytics Professional Certificate
- 🧠 Accenture: Digital Skills – Artificial Intelligence
- 🧠 Udemy: Generative AI in Testing
- 🧠 HP Life: Agile Project Management
- 🧠 Infosys Springboard: Database Management Systems
- 🧠 freeCodeCamp: Data Analysis with Python
- Email: govindarajmalaiarasu@gmail.com
- LinkedIn: Malaiarasu G Raj
- GitHub: MalaiarasuGRaj
- Portfolio: mgraj-portfolio.lovable.app