• Implemented Machine Learning techniques in the field of neuroimaging using infrared spectroscopy, to denoise the signals coming from the fNIRS headsets.

• Developed in native iOS languages and frameworks like Swift handle and maintain company's mobile application, called “LONO: AI Reel Maker and Editor”.• Administered and maintained the Application’s code base, implementing new features, as directed by the Sales and Marketing team, Fixing the bugs (as reported by users).• Maintained the firebase backend of the application, and persuaded necessary research in ML Models, to implement the new upcoming features in the application.

• Engineered and manufactured Electric Tricycles for specially abled individuals, incorporating BLDC motors and lithium pyrophosphate battery technology. Achieved rapid charging (3 hours) and an impressive 40+ km range on a single charge.• Spearheaded a charitable initiative by donating more than 30 tricycles through partnerships with NGOs, enhancing mobility for the users.

• Persuaded advanced search algorithms and NLP techniques (using NLTK–Python) for ShopAwesome, a Google-Chrome extension.• Engineered lightweight web scrapers and managed MongoDB database, optimizing data processing with Python and Javascript, and deployed the system on AWS Backend Server (EC2 and Lambda), ensuring seamless user experience.• Created the frontend extension using JavaScript, collaborating closely with UI/UX teams.

• Collaborated on crafting the company's personalized recommender system, employing Python, PyTorch, Scikit-Learn, Pandas, and related technologies.