Leading the following use cases:- Unconventional production forecasting- Turnaround schedule visibility optimization

Side Project: Founder and sole developer of the ML-Toolbox, a comprehensive suite of 17 modules utilizing advanced language models (GPT-4, GPT-3.5, and fine-tuned GPT-3). Over the course of two and a half months, workflows in the ml-toolbox were run 16,529 times by 1,007 unique individuals across 113 locations. Key workflows include:- Teams Meeting Transcript Synthesizer: Utilizes GPT-4 to distill Microsoft Teams transcripts into concise summaries, key learnings, and actionable items, enabling knowledge transfer for those unable to attend meetings and allowing facilitators to concentrate on discussions instead of note-taking.- Workday Profile Completeness Classifier: Analyzes Workday employment profiles using GPT-4 and a preconditioner to classify entries as well-written or needing improvement. Provides suggestions to enhance poorly written entries, maximizing job placement opportunities. This workflow does not classify employees.- Performance Goal Generator: Leverages fine-tuned GPT-3 to tailor leadership categories, personas, and initial goals to individual users. Transforms user-provided performance goal descriptions into high-quality, actionable goals based on their leadership category and persona.- Email Responder: Assists non-native English speakers in crafting initial responses to emails from native speakers, taking input key messages and response sentiments into account.Primary Role: Senior Reservoir Engineer specializing in Delaware Basin Characterization and Definition.

Capital Projects - Projects Analytics Advisor. Product manager for 18+ applications on the Project Management Product Line of the Surface Digital Platform.Built several GPT-3-based ML products to pilot large language model values in the oil and gas domain. Proponent for ethical and responsible AI at Chevron.Defined a standardized on a data capture and labeling process for pipe weld x-rays and developed the first machine-learned model to predict if x-rays have defects or not in the NDT community that performs better than proxy NDT technicians (https://mlndt.azurewebsites.net/).

Courses:• Data Mining• The Analytics Edge• Engineering System Analysis for Design• Foundations System Design and Management I, II, III• Technology Roadmapping and Development• Applied Machine Learning• Game Theory for Strategic Advantage• Power and NegotiationProjects at MIT:• The Analytics Edge: An Analytic Approach to Deepwater Well Productivity• Data Mining: Regression-based Well Rate Estimation. • Engineering Systems Analysis for Design: Implementing Flexibility in Deepwater Lower Completion Execution• Engineering Systems Analysis for Design: Case Study: Lookback on a Probabilistic Forecast versus Co-owner Deterministic Forecast for a Deepwater Field• Applied Machine Learning: Convolution Neural Network to extract pressure and temperature data from CCTV cameras pointed at a laptop (I know, and yes it worked)Thesis Topic:• Machine Learning for Well Rate Estimation: Integrated Imputation and Stacked Ensemble Modeling

As a Deepwater Operations Petroleum Engineer, my responsibilities spanned across various areas, including:- Identifying and implementing production optimization opportunities.- Providing onsite operations support, including the development of procedures for operational activities.- Supporting Well Reliability and Optimization (WRO) initiatives.- Budgeting for Major Minor Workover (MMWRO), including preparation for contingent acid jobs and production logging.- Mentoring employees in technical areas of expertise, including IPM, IFM, IVM, Kappa Server, PI.- Supporting the transfer of LLs/BPs to future projects, quarterly well reviews, and the construction of functionally integrated business plans.

Each asset has unique characteristics that can be measured by capturing data and understood through rigorous analysis and integration across the asset. RTRM provides a common platform for accessing and integrating real-time field and well-performance data with predictive modeling results. The system improves the efficiency of reservoir surveillance and management by streamlining the processes and workflows required to find and manipulate data and conduct analysis, leaving more time to review results and make sound decisions.

This is a key reservoir engineering position critical to maximizing asset value. I was focused on both base business and MCP responsibilities which focused on simulation and other reservoir engineering aspects and plays a key role in overall asset development activities, reserve estimation, R2R2P and other reservoir engineering work processes. I was representing Chevron in internal management and partner meetings. As a member of the multi-disciplinary Asset Team, I was participated in significant cross-functional exposure and the opportunity to build close, collaborative relationships with Drilling & Completions, Operations, Facilities Engineering, Business Planning, Finance and other teams. I was also responsible for identifying and transferring applicable best practices / lessons learned. Software Expertise: Intersect, CHEARS, GenOpt, Prosper, MBAL, GAP, REVEAL, Crystal Ball, Saphir, Rubis

• Gulf of Mexico reservoir engineering.

• Implemented an environmentally safe oil recovery operation on open completions pits in the Uinta Basin.• Engineered the design for two water injection facilities and one disposal well in the Uinta Basin.• Prepared a number assets for divestiture from the portfolio.• Artificial lift implementation and optimization on gas wells.• Debottlenecking of an eight gas well gathering system in the Granite Wash.• Job shadowed a number of well completions in deep gas (Granite Wash) and shallow oil plays.

• In charge of sales and ticket issue to athletic events.• Assist in the hosting of athletic events.

• Constructed contractor spreadsheets containing important information on company personnel assignments. • Organized the travel of employees of various oil and gas companies.

• Conducted various projects involving the dismantling of equipment such as well tractors. • Participated in performance meetings which dealt with company proficiency. • Helped in the transportation of important well equipment parts to offices in state.