Enhanced role-expertise mapping accuracy by 70% in a cancer-related scientific knowledge project by applying advanced data filtering techniques using Excel and Pandas. Developed a Python script in Jupyter to automate Cosine Similarity analysis across 3 large datasets with Scikit-learn, reducing manual processing time by 40% and improving insights accuracy by 25%

Research brain networks through cutting-edge computational techniques. Implemented and optimized algorithms for motif census using Arkouda, with a focus on C++ and Chapel programming languages.

- Built and deployed 5 AI projects in 5 weeks using React JS, Next.js, Firebase, Clerk, and Vercel, following agile methodologies with weekly sprints. - Collaborated in a team of 3 to develop an interactive customer support agent with Next.js, integrating a custom RAG pipeline using OpenAI and Pinecone to respond based on the company's knowledge base.- Participated in weekly sessions with engineers from Google, Y Combinator, Stanford, Amazon, and venture-backed startups.

● Elected as Business Manager at the university's newspaper organization to oversee financial operations.● Managing regular reports to track financial performance and inform decision-making processes.

Contribute weekly news, feature, and entertainment articles regarding NJIT, Newark, and beyond

● Volunteer tutor at Blissful Coding, a non-profit organization teaching grades 6-12 python using Carnegie Mellon University's CS Academy and MIT’s Scratch program● Collaborated with undergraduate and graduate volunteer students from prestigious universities to teach students Python.

Led orientation events, professional development workshops and bi-weekly meetings to guide first year students with transition and navigating through campus and student life.