Help clients with LLM governance for AI model risk and bias management, aiding in transparent and ethical AI practices.Develop and deploy Machine Learning, Deep Learning and Generative AI solutions, working with clients to optimize their solutions and operations.Implement data solutions for streamlined data access, minimizing ETL processes data redundancy, and siloed data operations.Implement generative AI in variety of use cases, including data discovery and analysis, automating insight extraction and creating data driven decision-making processes.

• Designed and developed comprehensive solutions for clients as a part of a sprint-paced, pre-sales team.• Responsible for the proposal, implementation, and deployment of solutions including Machine learning, Deeplearning, NLP, NLU, Optimization, Data Management, Data visualization and data governance related projects.• Built pragmatic, interpretable, and explainable solutions for a variety of clients in different industries. Led technical meetings with clients explaining the solution in both technical and business terms, so that all involved parties couldrelate and see the value of the solution.• Organized, lead and hosted a recurring monthly education series surrounding various IBM technologies for those in the sales and pre-sales space.

• Improved accuracy and efficiency of an existing model by developing a machine learning pipeline using a LightGBM regressor and leveraging techniques such as feature reduction algorithms, parallel hyperparameter tuning, and cross - validation.• Using generated data visualizations, I communicated the result of the model and improvements to both technical and non-technical stakeholders, ensuring all parties involved left satisfied that I met their individual goals.

Founder: I create dashboards, visualizations and predictive statistics / models for the team at the coach's discretion

• Built a random forest regression model to forecast required manpower for a factory, cutting down losses from misallocation of resources and hence driving profits and efficiency. Conducted data wrangling and manipulation using Spark and SQL.• Collaborated with factory and warehouse personnel to quickly understand all tribal knowledge and learn to identify key data-related challenges associated with the factory all while implementing improvements in data mining and consolidation ultimately leading to significant business impact.

• Produced programs in Python and R that transformed raw data from motion capturing machines into understandable metrics.• Utilized SQL to gather and manipulate wrangled data into user friendly formats.• Produced visualizations for Teams / coaches / individuals looking to better understand data captured on machines outside of the company.

• Created and updated an online video game on Roblox.com that has amassed over 2 million online plays to date.• Listened to feedback and user reviews in order to maintain game's relevance for over 5 years.• Written in Lua.

Analyzed and resolved internal issues relating to process optimization for Tropical Foods. Presented findings to owners and VP. Received thank you letter from VP.

Analyzed and fixed the entire business model of Turning Heads Barbershop. Findings presented to owner and 90% of proposed changes were implemented. Received letter from owner