Gurram Yogit

AI/ML Engineer | Full-Stack Developer

Chennai, IN.

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

Samsung Research Institute Bangalore - SRIB

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System Intelligence Intern

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.

Samsung R&D Institute

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PRISM Intern

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

Vellore Institute of Technology

Chennai, Tamil Nadu, India
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Bachelor of Technology Computer Science Grade: CGPA: 9.39/10

Courses

Data Structures and Algorithms

Machine Learning

Computer Vision

Deep Learning

Narayana Junior College

Nellore, Andhra Pradesh, India
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Class XII MPC (Mathematics, Physics, Chemistry) Grade: Aggregate: 97.8%, JEE-MAIN: 95.9 percentile

Awards

3rd Place, 1st Semester CSE AI/ML Program

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)

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

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.

Certificates

Microsoft Certified: Azure AI Fundamentals (AI-900)

Microsoft

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.

Projects

Medical Chatbot - Full-Stack Gen AI Powered Assistant

Summary

Developed a full-stack medical assistant leveraging FastAPI and Streamlit for real-time user interaction, integrating advanced AI/ML components for contextual, source-backed responses.

Bujji - Voice Assistant

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Summary

Created a voice-activated assistant for web browsing, scheduling, and weather updates, enhancing user engagement and task management through advanced Natural Language Processing (NLP).

Brain Tumor Detection

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Summary

Developed an AI model for brain tumor classification, enhancing image processing and leveraging data augmentation and transfer learning for improved robustness.