About

Myself

I am Shreyas H S, an aspiring AI & Full Stack Developer with strong experience in building intelligent applications using Python, Java, and core concepts of Machine Learning, Artificial Intelligence, and Data Science. I’ve developed innovative AI projects involving LLMs, computer vision, and task automation, and gained internship experience working on scalable software solutions. Passionate about problem-solving, I’ve solved 200+ coding challenges across LeetCode, HackerRank, and Coding Ninjas. Fluent in English, Hindi, and Kannada.

Skills

What I'm Good At

Machine Learning & AI

Proficient in Python, TensorFlow, Hugging Face, LangChain, and Scikit-Learn for building intelligent systems. Experience with deep learning, generative AI, and reinforcement learning for real-time decision-making applications.

Database & Backend Development

Skilled in designing scalable databases using SQL, SQLite, and NoSQL systems. Strong backend development experience with frameworks such as FastAPI, Flask for building APIs and microservices.

Front-end Development

Skilled in front-end development using HTML, CSS, JavaScript, and Streamlit, with a strong focus on API integration. I’ve contributed to interactive applications like Edupersona and JANI AI, creating seamless real-time experiences and ensuring smooth performance under high concurrency

Experience

AI & ML Intern

Infosys SpringBoard

-> Developed a deep learning-based image captioning system for radiology images using CNN-RNN, Vision Encoder-Decoder, and BLIP models.
-> Processed large-scale datasets (8GB+) for preprocessing, training, and evaluation to generate accurate, context-aware captions.
-> Integrated models for automated report generation, improving efficiency in medical diagnostics.
AI & ML Engineer Intern

Rooman Technologies Pvt Ltd

-> Contributed to AI/ML solution development through data preprocessing, feature engineering, and model deployment.
-> Collaborated with the team to design scalable pipelines for machine learning workflows.
Machine Learning Intern

Compsoft Technologies

-> Built a healthcare chatbot to assist users with medical queries using NLP and AI models.
-> Implemented backend logic, natural language understanding, and database integration for smooth interactions.
Machine Learning Intern

Bharat Intern

-> Created three ML projects: House Price Prediction, Iris Flower Classification, and Movie Recommendation System.
-> Implemented end-to-end workflows including preprocessing, training, evaluation, and deployment.

Projects

Explore some of my featured projects

Stable Diffusion v1-5

AI Image Generator

Utilized the Stable Diffusion v1-5 model by RunwayML to generate images from text prompts using a latent diffusion framework. Enabled customizable text-to-image generation with features like negative prompting for improved quality. Built a user-friendly web interface using Gradio and integrated dependencies such as Diffusers and Transformers for efficient deployment. Example prompts include: "baby llama, wearing red muffler, grazing, open field, sunset" and "children, playing in Disneyland, view from a distance".

EduPersona

Personalized Learning System

Built an adaptive learning platform using Vertex AI Gemini models and LangChain for generating quizzes, summaries, and Q&A. Integrated secure authentication and boosted learner engagement by 25% with AI-personalized content.

JANI-AI

Voice-Controlled AI Assistant

Developed a full-stack intelligent assistant using FastAPI, React, and OpenCV. Handled 15+ voice command categories with 95% accuracy and integrated facial authentication (98% success rate). Fine-tuned Phi-1.5 with LoRA & quantization to reduce VRAM usage by 60%.

Personal Portfolio

Portfolio Website

Built this responsive personal website to showcase my skills, projects, education, and contact info using HTML, CSS, and JavaScript. Clean UI, mobile-friendly design, and minimal aesthetics.

PongDB

Java Game with Integrated DBMS

Built a modern version of the classic Pong game in Java. Integrated a custom DBMS layer using JDBC to handle user authentication, gameplay statistics, and leaderboard management. Included admin features for data management and score tracking.