About
Highly motivated Computer Science student with a 9.39/10 CGPA, specializing in AI/ML, Computer Vision, and Full-Stack development. Proven ability to deliver high-impact solutions through internships at Samsung R&D Institute, achieving 90.73% pixel accuracy in facial segmentation and developing edge-optimized LLM modules. Expert in Python, TensorFlow, LangChain, and FastAPI, with a strong portfolio of projects including a Gen AI medical chatbot and a voice assistant, demonstrating advanced capabilities in NLP, deep learning, and scalable system deployment.
Work
Bangalore, Karnataka, India
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Summary
Contributed to cutting-edge research and development of edge-optimized LLM modules for next-generation AI systems, focusing on enhancing modular scalability and efficiency in device-constrained environments.
Highlights
Developed edge-optimized Large Language Model (LLM) modules for next-generation AI systems, enhancing their performance on resource-constrained devices.
Focused on improving modular scalability and operational efficiency across diverse device-constrained environments, optimizing system resource utilization.
Contributed to advanced research in System Intelligence, specializing in the practical application and optimization of LLMs for future technologies.
Chennai, Tamil Nadu, India
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Summary
Spearheaded the development of a novel AI-based facial feature extraction model, significantly enhancing image quality and segmentation accuracy for advanced Computer Vision applications.
Highlights
Developed a highly novel facial feature extraction model for AI-based segmentation of facial features, advancing Computer Vision capabilities.
Enhanced image quality by 40% through advanced smoothing and sharpening techniques, significantly boosting visual clarity for AI models.
Achieved an exceptional 90.73% pixel accuracy in segmentation tasks, validating the model's high precision and effectiveness.
Education
Awards
3rd Place, 1st Semester CSE AI/ML Program
Awarded By
Vellore Institute of Technology
Secured 3rd place in the competitive first-semester Computer Science Engineering program focused on AI/ML, achieving an outstanding CGPA of 9.8.
Datathon ML Model Achievement (Ranked 14th)
Awarded By
Datathon Organizer (Implied)
Developed an impactful ML model that analyzed over 12,000 data points during a Datathon, earning a notable 14th rank among competitors.
4th Place, Gen AI Hackathon
Awarded By
CodeChef at VIT Chennai
Achieved 4th place in a Generative AI hackathon hosted by CodeChef at VIT Chennai, demonstrating strong problem-solving and innovative AI development skills.
Skills
Programming Languages
Python, C/C++, Java, SQL, JavaScript, HTML/CSS.
Frameworks & Libraries
React, Express.js, Node.js, Flask, FastAPI, pandas, NumPy, Matplotlib, Seaborn, TensorFlow, Keras, Scikit-learn, LangChain, Pinecone, HuggingFace, Groq.
Developer Tools & Platforms
Git, VS Code, Visual Studio, PyCharm, Postman, Docker, Cloud Vector Databases.
AI/ML & Data Concepts
Data Structures, Algorithms, Computer Vision, Deep Learning, Machine Learning, Natural Language Processing (NLP), Large Language Models (LLMs), Generative AI, Edge AI, Data Augmentation, Transfer Learning, Semantic Search, Image Processing.