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👋 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.

🔍 What I Do: 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.

🛠 Tech Stack: My technical toolkit includes Java, Python, SQL, JavaScript/TypeScript, and Kotlin, with a strong command over frameworks such as React, Flask, and Django. I am proficient in cloud environments like AWS and Azure, which I have used extensively for deploying scalable applications and data storage solutions.

🚀 Projects Highlight:

Numerical Computation of Stochastic Games: Implemented dynamic programming and reinforcement learning in Python to simulate game theories and outcomes. Deep Learning Breed Classifier: Developed using CNNs and transfer learning to optimize model performance for image classification tasks. KeepFit Android App: An all-in-one fitness tracker designed with Kotlin and integrated with modern Android development technologies.

📈 I’m Currently Learning: I am continually expanding my expertise in machine learning and deep learning, exploring advanced areas such as Q-learning and meta-learning strategies.

A Fusion of Skills 🔗🚀 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.

🤝 Let’s Connect: 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! You can also find me on LinkedIn.

🔭 I’m currently working on: Enhancing 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.

🌱 I’m currently learning: Advanced techniques in deep learning, particularly focusing on Q-learning and meta-learning strategies to push the boundaries of AI research and practical applications.

👯 I’m looking to collaborate on: 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.

🤔 I’m looking for help with: 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.

💬 Ask me about: Python, AI, and my journey transitioning 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, like the Deep Learning Breed Classifier and the KeepFit Android App.

🤝 Let’s Connect: 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!. 📫 How to reach me: Drop me a line at [email protected] or connect with me on LinkedIn.

😄 Pronouns: He/Him

⚡ Fun fact: Aside from coding, I’m an avid hiker and use every chance I get to explore the trails near and far. It’s my way of disconnecting from the screen and reconnecting with nature.

Feel free to explore my repositories and don’t hesitate to get in touch if you have any questions or suggestions!