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I’m a startup founder and tech enthusiast. Currently Building Kodezi, a autocorrect for programmers.
"Chase excellence and success will follow" - The idea of always striving for the best, and when you aim beyond success, you don't hold a limit on that success.
"If you're doing what everyone else is doing, you're doing it wrong"- Following the path everyone else takes may prevent you from discovering new and innovative solutions.
"The biggest risk someone can take is to do nothing" - Put yourself at war; take that risk. Either you win the war and can share stories when you go back, or you lose the war and still share those stories—the journey matters, not the outcome.
Kodezi was founded by me in 2019 on the idea of allowing anyone to debug code instantly and not spend hours on debugging. Created in 2019 from prototype bert trained models.
Today, Kodezi is a startup Backed by RTP Global and Water tower Ventures, building generative AI solutions that auto-corrects your code in real-time. We’re on a mission to 10x productivity in programming!
TeachMeCode was a side-project developed by me in 6thgrade, a peer to peer learning platform where students where taught programming by others students. The idea being if a student can learn from another student it allows the student to be more attentive and engaged in learning.
Thousands of monthly visitors watched and submitted thousands of hours of programming content led by students. Later pivoted to Kodezi.
Shadowed doctors whilst actively working on correlation between family tree and DNA structure to probability of obtaining various types of liver disease by applying machine learning.
The liver easily gets affected due to intake of alcohol, pain killer tablets, food habits, and includes plenty of wired practices. By tracking various levels of the following, was able to successfully predict future use cases in patients with various ML models which I created.
Worked with various data scientist on applying automated pen testing using machine learning models on code. Built custom machine learning models for predicting the risk of a data breach and automated security protocols in databases in breaches. Built custom machine learning models for detecting anomalies in large datasets and deployed machine learning models as microservices.
