👋 Hi there! I’m Nivedh G Krishnan, a passionate software engineer specializing in advanced computer science and artificial intelligence. I recently completed my Master's degree from the University of Strathclyde, Glasgow, where I delved deep into the realms of numerical computation and AI-driven technologies.
I thrive on developing intelligent solutions that enhance efficiency and functionality. During my time at Mphasis in Bangalore, I honed my skills in Python, working extensively with data analysis tools and integrating RESTful APIs to improve system interoperability. My work contributed to significant improvements in data processing efficiency and project completion times.
🎮 Compositional Game Framework Core
Numerical Computation of Stochastic Games: Implemented dynamic programming and reinforcement learning in Python to simulate game theories and outcomes.
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🚀 FastAPI Projects and Examples
Projects and examples related to FastAPI, a modern, high-performance web framework for building APIs with Python. It demonstrates how to create endpoints, handle requests and responses, integrate with databases, implement authentication, and deploy FastAPI applications.
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🌐 Web-ML-recommender
web_ml_recommender is a Python package that provides machine learning-based recommendation systems for web development. It includes content-based filtering, collaborative filtering, and a hybrid recommendation system.
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🎓 PhD Course Recommendation System
This repository focuses on developing a recommendation system for PhD courses. It uses machine learning algorithms to analyze data such as student profiles, research interests, past courses, and course descriptions to provide personalized recommendations. The project includes data preprocessing, feature extraction, model training, and evaluation.
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🏋️♂️ KeepFit - Your Fitness Tracking Companion
KeepFit helps you monitor your workouts, track progress, and stay motivated on your fitness journey. Log your workouts, visualize progress with charts, access a library of exercises, create custom routines, and set fitness goals. Perfect for beginners and seasoned athletes alike.
Check out the repoEnhancing a numerical computation model for stochastic games that integrates dynamic programming and reinforcement learning. This project aims to deepen our understanding of Markov equilibria in complex game theories.
While each of my skills is potent on its own, together they form a symphony of expertise that's rare and valuable. From CI/CD and containerization to software development and AI, I'm always pushing the envelope, eager to learn and grow.
Open source projects focused on machine learning, data analytics, and mobile application development. I’m particularly interested in health tech and AI-driven tools that can make a difference in everyday life. Exploring new optimizations for convolutional neural networks (CNNs) using transfer learning. If you have experience in this area, I’d love to get your insights and perhaps work together to enhance model efficiency. 🐍 Python, 🕸️ web dev, 🤖 AI, and my journey🌌 from a Software Engineer at Mphasis to a Master's Graduate in AI. I’m happy to share my experiences and the projects I’ve worked on and footy⚽ !!
If you're interested in collaborating on projects or if you just want to chat about the latest in tech, feel free to reach out!.
Besides coding, I'm an avid hiker, always ready to hit the trails near and far. When I'm not exploring nature, you'll find me lacing up my boots for a game of football. It's my perfect escape from the screen, blending tech and turf. Fancy a game of FIFA 🎮 ? Let's connect!
⚠️ Feel free to explore my repositories and don’t hesitate to get in touch if you have any questions or suggestions! ⚠️
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React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent