VIT Chennai, India
I am a passionate and dedicated individual with experience in Artificial Intelligence (AI), Machine Learning (ML), and their subdomains. My research background primarily focuses on Natural Language Processing (NLP) and programming, where I have developed strong technical and analytical skills.
I am eager to expand my knowledge in new technologies and contribute to projects that align with my field of interest. Currently seeking internship opportunities in AI/ML and related areas, I am highly adaptable and quick to learn, enabling me to add value in diverse environments.
If you believe I can contribute to your project, I am open to learning new concepts and tackling innovative challenges.
Feel free to connect with me via LinkedIn or reach out at [email protected].
Driven by a desire to explore new ideas and make a meaningful impact, I look forward to collaborating with others to create lasting change.
Vellore Institute of Technology, Chennai, India
2021 - 2025
CGPA: 8.52/10
Shaanthi Schools, Pollachi, Tamil Nadu, India
2007 - 2021
- Grade 10 Percentile: 94.6%
- Grade 12 Percentage: 93.6%
Edmonton, Canada
May 2024 - August 2024
- Developed a next-word predictor using binary net to optimize model training.
- Worked on a Python library to interface Large Language Models with non-technical users, focusing on prompt engineering.
- Contributed to a key phrase extraction project under the guidance of Dr. Maiga Chang.
Digital EPCS Pvt Ltd, Chennai, India
September 2023
- Developed an ML-integrated E-learning platform for better analysis and accessibility for course providers and learners.
Dec 2024 - Present Projects
- Landing Page =>
April 2023
- Developed an API-based ML app utilizing open-source Large Language Models and Google Pay API for expense management and analysis.
A cost-effective solution similar to Meta AI glasses, utilizing fine-tuned large pretrained text-based and diffusion-based models for real-time image-to-audio conversion. This will help blind individuals and could also facilitate foreign language understanding.
I am crafting a comprehensive literature review focusing on the Evolution of Large Language Models. The review explores key advancements like the Transformer architecture, self-attention mechanisms, CoT prompting, ICL, and Zero/Few-shot prompting, along with benchmark comparisons of state-of-the-art models. This process has enriched my understanding of modern NLP, with the review currently under evaluation.
- Introduction to Machine Learning - Coursera (2022)
- Data Analytics with Python - NPTEL (2022)
- Ethical Hacking - NPTEL (2021)
- Introduction to Large Language Models - Udacity (2023)
- Generative AI and its Applications - GenAI (2023)
- Core Natural Language Processing - Stanford (2024)
Programming Languages: C, C++, Java, Python, JavaScript, HTML, CSS, Kotlin, PHP
Development Frameworks: Node.js, React, Firebase, Flutter, MongoDB, MySQL, Flask, Three.js, Blender, Streamlit, Gradio, UI Path, Django,
Machine Learning: TensorFlow, PyTorch, Scikit-learn, NLTK, LangChain, Stable Diffusion, Dialogflow, CNTK
Hardware: Arduino, Raspberry Pi, Jetson Nano, ESP32
