- Spearheaded the creation, analysis, and integration of machine learning models and API technologies (platforms like OpenAI's GPT4o, Google Cloud, and Azure) for Vlogmi's Creator Studio feature, ensuring its capability to deliver real-time personalized audience data to content creators and marketers.- Integrated an Instagram Competitor Analysis Feature for Vlogmi by leveraging machine learning and OPEN AI API integrations to generate content summaries across users and analyze competitor engagement on Instagram within the same content category. This feature helps users understand competitor strategies and optimize their own content for better reach and engagement.- Collaborated closely with the team to ideate, implement features, and create user experience flow charts for the Vlogmi app, aimed at enhancing engagement, usability, insights, and revenue generation.--Vlogmi is a multi-medium tool for social media, specifically helping creators, brands and marketers get more views, engagement and revenue. Vlogmi's long-term vision drives the next generation of content creators to express their creativity through authenticity - to create the future of a healthier, more positive social media.

- Built Internexxus's AI Linkedin-To-Resume Feature using ChatOpenAI, Langchain and Open AI's LLMs, and a RAG system for resume template information. - Built Internexxus's job postings system using REST API services for data scraping, GPT 4o for data reconstruction and PostgreSQL for data storage and management. - Used React JS frontend frameworks, specifically Tailwind and Typescript to designed Internexxus's "For Universities" website landing page UI Design.- Orchestrated onboarding and outreach processes such as user integration, workflow, quarterly KPIs, and pitch decks for target consumer groups

- Integrated prompt engineering tools with Open AI's GPT 4.0 API to enhance and build ShoMe's Takeaways feature, and reranked search engine data for tactical startup and fundraising questions. - Orchestrated comprehensive roadmaps for user integration along with intuitive UI/UX features, ensuring seamless onboarding while maximizing user satisfaction and retention.

- Implemented and facilitated instruction of SwiftUI and Xcode curriculum to 200+ students (scholars) over the course of multiple two-week camps over academic summer term- Fostered community interactions between female and non-binary students to challenge the status quo and close the gender gap in Computer Science

- Employed advanced Python functions, tables, and data visualization techniques to interpret comprehensive metrics about Journal365 user interaction and usage.- Used statistics while manipulating and analyzing large and complex data sets to find patterns, correlations, and key insights for business decisions.

- Used programming with Python and Linux command lines (Bash), Fortran, modeling and statistical modeling, and critical thinking.- Investigated ways to learn material properties by inspecting the material’s electronic structures, to develop artificial intelligence that can perform high-throughput material simulations and use the generated data to design new materials intelligently and automagically.

- Focused on creation of Healthcare applications in Life Labs and utilized ML algorithms to execute medical imaging diagnostics, deep pattern analyses of smart health records, and predictive heart risk models for patients.- Implemented classical Machine Learning, Deep Learning, regression analysis and neural networks, Data classification, Python coding to train Natural Language Processing models.

- Monitored and mapped brain imaging, motor skills, and movements of paralyzed patients primarily using MATLAB- Analyzed brain wave patterns during a brain-computer interface task where the subject controls a computer cursor and/or robot using their thoughts alone.