WELCOME TO MY WEBSITE
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I'm Harsha
(try clicking and dragging anywhere here)
Hey 👋
Projects 🚀
Efficient Multiframe Video Processing
Giving computers the ability to comprehend a live video feed (vision + audio) with human-level understanding
with
Interpreting the
world's digital data
Computers are really good at finding information while being really bad at interpreting that same data. Google anything and you can find an answer in seconds, however, what if you want something more nuanced? Something that can read knowledge from numerous sources, analyze the facts, and output an answer to questions that have never been asked online before. With recent advances in machine learning memory retention and natural language understanding, this is possible and works! But it costs me like $0.10 per request (yikes!) in cloud compute fees which is actually a lot :( Let me know if you want to check it out!
Cool 😎
Imagine headphones that can know when you want your music to be louder and whether you want to skip or replay a song, just by you thinking about it. Sounds impossible...but it's not. Every time someone thinks about something, there is a distinct set of brain waves that correspond to that action. By using a bunch of non-invasive EEG sensors, a user's real-time brain signals can be investigated. This is the hard part though, knowing what the brain waves mean. However, once you can decipher this code, you can unlock an extraordinary way to communicate with technology in the future, using your brain.
Controlling everything
through thoughts
Crazy 🤯
Training, retraining, maintaining, reworking, and deploying efficient machine learning is hard work, that not only requires a lot of time and effort, but also, a lot of computation power. These problems are precisely what cloud technology was built to combat. By automating the process of creating models in the cloud, organizations can productively employ the technology to solve their specific needs. In addition, using the cloud to streamline the process of tuning a model with more relevant information can directly help prevent algorithmic bias and discrimination caused by machine learning models due to obsolete training data.
Using the cloud to optimize ML training and deployment
Fun 🎉
Expanding comprehension
with natural language processing
The less complicated a sentence is, the easier, cheaper, and more accurate its translation will be, in order for information to be conveyed accurately to diverse regions across the world. A purpose-built solution to allow language localization leveraging natural language processing can facilitate automatic sentence structure changes including dynamically modifying difficult words, rewording entire sentences, or splitting multi-action sentences, all without changing the original intent of the text. By increasing the accessibility of accurate translations, the language barrier for billions around the world can be broken.
Impactful 🌎
Built with Uber 🚗
Other Projects 🪐
Predicting what customers will buy
Modeling in-store behaviors to optimize product placement
Lots of data 📊
Built with Ulta 👑
Designing the smartest inventory system ever
Automating logistics for low self-life medical supplies, like units of blood
Life-saving 💖
Built with Stanford Blood Center🌲
Inventing microscopy tools, 100 times cheaper
Producing the most accessible scientific instruments for discovery
Coffee is good ☕
Built with Foldscope 🔬
Understanding human
vocal patterns
Training computers to decipher vocal tone to provide medical insights
Out of this world 👽
Built with Voicemed 📞
Analyzing your sketches to predict what you are drawing (even if you're really bad at drawing like me)
Giving computers the ability to imagine new situations and convey what it thinks will happen next
More Projectsss 🌌
Building a foundation for dynamic user interfaces—or UI that isn't hardcoded and can transform based on the environment
Constructing a suite of image-focused creative A.I. that can colorize, conceive, and draw
Forging memory-based machine learning, able to contextually understand its input data
Evolutionary Learning
Designed a genetic algorithm based neural network to learn how to play Mario Kart, generalizable to multiple game maps
Online web demo (coming soon)
Creating a multimodal model to simultaneously digest text and video data to make real-world predictions
Moneymaker 💸🤑
Planets in space 🔭🛸⭐
Iteration 25 of 800
Pixel Art Generation🤖
Trained on hundreds of thousands of webscraped pixel art images, welcome to my first ever project using PyTorch
s/o to gradient.run for the free GPUs!
I have extra space here, so it's a great time to share my love for pineapple🍍on pizza🍕
Enhancing computational arithmetic efficiency
particularly for negative numbers
probs impossible but could
work... maybe 🤞
Marble
A framework for how to engage virtual interactions that can translate into physical ones, from sharing personal adventures to peer-to-peer shopping experiences
Explore progress (coming soon)
Built a smart mirror connected to Google Cloud with custom UI elements (and a wireless charger⚡)
Multimodal coherence modeling on the internet
Understanding vast subsets of the web for richer answers to user queries
Thrilling 🎢
Built with Apple 🍎
Enabling autonomous swarm communication
Allowing drones to relay information independently to complete missions
Expansive 🌌
Built with Shield 🛡️
Developing the
safest cars in the world
Working to create a reliable and robust system for vehicle autonomy
Exciting 🤩
Built with UC Berkeley 🐻
Open Projects 🔓
Turning black and white images colorful, with machine learning
Access all code, trained model parameters, and project details
Automatically update your Instagram bio with custom messages
Access all code, documentation and additional resources
Sorting and analyzing an unlimited number of tweets for free
Access all code, NLP models and documentation
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Version 6.1, by Harsha Gundala
20 yrs later and my spelling still sucks :(