Raviteja Kondubhatla

About Me

Hello, fellow tech aficionados! I'm Raviteja, a data whisperer with a solid decade of wrestling with data dragons and crafting AI-powered marvels. When I'm not orchestrating the symphony of zeros and ones, you can find me scaling the heights of a good mountain trail, lost in the rhythm of my favorite tunes, or binge-watching movies like it's a competitive sport.

By day, I'm a product management virtuoso and data science maestro, specializing in the dark arts of Generative AI (GenAI) and Large Language Models (LLMs). Think of me as the Gandalf of data pipelines, conjuring insights and deploying cloud-based solutions on Azure faster than you can say "continuous integration and continuous deployment."

My career is a quest, much like a strategic game of Catan, filled with epic projects where I’ve wielded the mighty powers of Python, Azure, and AWS. Each project is a move in my strategy, from building roads of data connectivity to establishing settlements of insight and cities of innovation.

But let's not forget the lighter side of this tech-tale! I'm a hiking enthusiast who treats every trail like an algorithm to optimize, a music lover with a playlist as diverse as a well-constructed neural network, and a movie buff whose binge-watching strategies are as meticulous as any data model.

So, if you're into discussing the latest breakthroughs in AI, sharing hiking trails that double as neural network inspirations, or debating the merits of the latest sci-fi flick, I'm your go-to geek. Join me on this exciting journey through the realms of data, AI, and beyond!

Projects

• Portkey AI Gateway: A blazing fast AI gateway that routes to over 100 large language models (LLMs) with a unified API. This project is designed for high performance and reliability, featuring load balancing, automatic retries, configurable request timeouts, and multimodal support. Technologies used: Python, AI, LLMs. GitHub Repository
• Transformer Debugger: A project to debug transformer models, forked from OpenAI. It provides tools to visualize and understand the inner workings of transformer-based models. Technologies used: Python, AI. GitHub Repository
• Large Language Models: A collection of resources and experiments related to large language models. This repository includes scripts and notebooks for various LLM tasks. Technologies used: Python, AI, LLMs. GitHub Repository
• Vector Embeddings: A project focused on generating and utilizing vector embeddings for various machine learning tasks. This includes Jupyter notebooks and Python scripts for embedding tasks. Technologies used: Python, AI. GitHub Repository
• HitchHikers Guide to Machine Learning: A comprehensive guide to machine learning concepts, featuring Jupyter notebooks with detailed explanations and examples. Technologies used: Python, AI, Jupyter. GitHub Repository
• Reading Time Estimator: A Python script for estimating the reading time of articles. This tool helps in predicting how long it will take to read a given piece of text. Technologies used: Python. GitHub Repository

Testimonials

                
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