I am a Senior at Gautam Buddha University Noida, currently doing my major in Artificial Intelligence, I am an Open Source Enthusiast, And currently discovering in the field NLP, DevOps & Data Science.
Harsh Vasisht
+91 9650143510
contact@harsh.ai.in
a) Performing automated refactoring of outdated Code, using GCP’s Foundation LLM Models such as CodeLlama and Codey.
b) Achieved Code Convergence of 95% in the Unit Test using the refactored code, by utilizing hybrid prompt techniques.
a) Integrated Open Source LLM agents with Twilio for call automation. (OpenSource: Llama, Mistral, ClosedSource: GPT3.5, GPT4)
b) Managed and visualized call data using Pinecone as a Knowledge Base, enabling efficient retrieval of information and insights to support the Calling Agent.
a) Develop and implement technology to detect signed language for effective communication between deaf and dumb individuals.
b) Trained ML models for XR spectacles, enabling seamless communication for sign language users.
c) Utilized Power BI to address data inconsistencies & ensuring balanced representation of hybrid dataset consisting 10,000 ASL and ISL gestures.
a) Designed a ML solution to monitor human vitals, including heart rate, with contactless technology.
b) Using STM32, I integrated this system inside a coffee vending machine, allowing vital tracking with caffeine intake.
c) Resulted in valuable insights about Employee psyche and Caffeine consumption.
a) Hosted AI/ML hackathons
b) An Active speaker in AI/ML speaker series
c) Led the organization and planning of the annual AI/ML research symposium.
a) Organized one of North India’s Largest Hackathon ( Tech-A-Thon 3.0 ) with over 900 participants
b) Mentoring AI/ML and Quantum Machine Learning to students.
c) Organize/Manage various Tech events in Campus.
d) Latest event organized, ( Quantum Machine Learning )
a) Trained and optimized deep learning models for real-time object and facial recognition using diverse datasets like UTK, LFW, and Google’s dataset.
b) Enhanced CCTV surveillance using the trained deep learning models for enhanced tracking.
a) Trained with various ML models to solve real life projects.
b) Mentored various students.
c) Worked upon OpenCv, NLP and sentiment AI like hotcakes.
a) Made a Landing website for the NGO. ( Mangalkari Public Welfare Trust )
b) Monitored ongoing campaigns (Drishti, Sahay)
a) Worked with multi-neural layers.
b) Worked upon the AlexNet model for Image Classification.
c) Integrated AlexNet for medical image classification, as a preliminary test.