- Computer vision to improve process efficiency- On the Generative AI team for the largest sport brand on Earth

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* Managed a technical team to develop scripts + label data for data extraction to help develop a 3D online model of Pompeii for a $250M Getty-funded Classics project, Pompeii Artistic Landscape Project. Project link: https://palp.p-lod.umasscreate.net/* Built a Data Validation pipeline to verify complex data with varying structure, entered into a large database* Assesed and Designed workflows to execute complex high level technical requirements* Used Tensorflow, Keras, NLTK

* Developed NLP algorithms to extract from unstructured data to contribute to a database for the digital mapping of Pompeii for a $250M Getty-funded Project - Pompeii Artistic Landscape Project* Project link: https://palp.p-lod.umasscreate.net/

* Developed a Neural Network powered Product Name Generation tool for Product Copy writers as an independent project, in collaboration with a cross-functional team of Writers. Provided foundation for high efficiencies for a manual pipeline that produces 20K+ product names a year.* Designed a Seq2Seq Encoder-Decoder Model, powered by GRU RNNs, with an Attention head. * Developed the project plan and pivoted as necessary to make optimal use of time and resources.* Used BERT, Tensorflow, Keras, Pandas, Numpy Python libraries. * Worked with a multi-functional intern team and delivered a cohesive and actionable presentation around the prospects of a VR-based Nike store, as a side project

Ramped up Fidelity’s relocation to a new Cloud platform by handling performance issues via CICD Launched my team’s efforts to implement security in their new Cloud platform for 3 core web apps using Agile Used Angular, Spring, Java, HQL and Python to develop features for the full stack

* Help prospective international students with questions and advice about social, academic and professional aspects of college life* Organize promotional events abroad or virtually while representing the University of Massachusetts Amherst* Serve as a point of contact throughout the initial days of freshman year and be a friendly face around campus

Mentor first-year students through their academic, professional and social pursuits in the College of Information and Computer Sciences

•Taught 120+ CS sophomores and juniors during the COVID-19 pandemic the fundamentals of good programming methodologies including memoization, data processing, dynamic programming, etc.• Led discussion sections to go over topics covered during lectures by the professor.• Answered student questions online and in person

•Investigated a way to optimize cancer treatment by providing different cancer treatments based on tumor tissue immunocellular composition composition.•Developed supervised learning scripts in Python to predict the cancer growth and life expectancy of patients with the same cancer and tumor type but different immunocellular composition.•Implemented linear algebraic algorithms to obtain the compositon of tumor cells using clinical data.