AI Programmer/AI programmer

TRAVIS G. BOLTZ

Hershey, PA • 502-***-**** • ********@*****.***

EDUCATION & CERTIFICATIONS

Illinois Institute of Technology, Chicago, IL Dec 2020 Master of Data Science, GPA 3.8

Drilling Engineers of the Future, BP America Aug 2013 Coiled Tubing Drilling Engineer

United States Military Academy, West Point, NY May 2007 B.S., Environmental Engineering, Dean’s List each semester, GPA 3.26 Fundamental Engineering Exam May 2007

EXPERIENCE

Data Science Skills and Programs: Data Simulation, Machine Learning, Natural Language Processing, Cloud Computing, Computer vision, Generative AI/LLMs, Data Modeling, ETL tools, Amazon AWS, Azure, Hadoop Communication: Adept at translating complex concepts into tangible solutions with a keen ability to eplain in lay terms for others to understand

Programing Languages: Python, Pyspark, Linux, Java, SQL, proprietary physics language Data Visualization: Power BI, Tableau, R

Research Methods and Statistics: Solid understanding of statistical methods, linear regressions, scientific writing, GIS, Arc GIS, Familiar with R, Mplus, SAS, SPSS, Stata. Preference is R but able to quickly learn any program Data Management: cleaning, integration, organization, documentation, and quality assurance Technology Licensing Office — AI Programmer Mar 2025 – Aug 2025 As lead AI programmer for a multi-phase project integrating Azure OpenAI, Azure Cognitive Search, and custom MySQL pipelines, I engineered an AI-driven framework to analyze, classify, and link intellectual property data for commercialization. This role required architecting hybrid semantic/vector search systems, creating NLP pipelines for entity extraction, and designing multi-agent reasoning models to simulate expert decision-making within the university’s technology transfer ecosystem.

• Developed and implemented advanced AI search and NLP tools

– Developed a custom hybrid search engine combining semantic embeddings and keyword-based retrieval, enabling high-accuracy classification of patents, disclosures, and inventor relationships

– Built NLP-based metadata extraction tools to automatically identify inventors, technologies, and licensing opportunities from unstructured university IP datasets

– Integrated Azure OpenAI Assistants API with proprietary tools to support reasoning, knowledge-graph construction, and multi-agent simulations tailored to Penn State’s IP workflows

• Designed multi-agent AI frameworks

– Designed and implemented a multi-agent AI framework (“League of Experts”) capable of simulating specialized decision-making roles such as legal, commercialization, and technical analysis agents

• Optimized data pipelines and insights

– Enhanced data ingestion pipelines by adding tokenization, embedding, and enrichment processes, ensuring all vectors are optimized for high-dimensional search performance

– Improved data accessibility and strategic insight through the development of interactive dashboards and visualizations for stakeholders, including IP managers and licensing officers

– Contributed to potential patentability of the system by documenting novel methods for agent orchestration, reasoning optimization, and proprietary use of institutional IP data

Data Science and Strategic Project Consulting September 2023 to March 2025 Data Science Consultant

Developed custom data science solutions for small firms and startup companies. Consults with potential clients to assess data needs, presents multiple solutions at a variety of levels for the client to choose from. Provides the latest technology and methodology to developing teams who would otherwise not have access to an experienced data scientist.

• Engineer and implement custom data solutions

• Develop and deploy machine learning models to analyze large datasets

• Integrate data-driven solutions into business strategies specializing in automated data collection and preprocessing workflows

- Improved decision-making process and operational efficiency for a real estate firm. Utilized machine learning, predictive analytics, and data visualization to craft a user-friendly platform for real-time market analysis.

- Implemented natural language processing (NLP) techniques to webscrape publicly available datasets of prior sales. Built python script to digest metadata for all government contracts resulting in improved targeted sales for the company.

• Data analysis and visualization

- Created interactive dashboards in Power BI and Excel to visualize key performance metrics and trends

• Project consulting

- Provided expert analysis and strategic planning services to a major university project. Assessed RFP for a planned app development project that would used across the state. Based on my feedback, the team realized they should go in another direction saving effort and time on a costly project

- Conducted market analysis and competitive benchmarking to inform strategic planning

- Advised new leaders on team development, management and project review process Stefanini, Innovations Team

Data Scientist II July 2021 to Aug 2023

Explored cutting-edge technologies, developed advanced models, and created transformative solutions using data engineering for big data. Researched and communicated emerging trends, translating theory into real life models.

• Specialized in creating computer vision models using significantly fewer training images compared to traditional methods

- Created computer vision models that could track people, forklifts and danger zones on a warehouse floor and another to count cars in a parking lot using minimal training data

- Created a facial recognition algorithm using computer vision techniques using only 50 images

• Developed and applied appropriate models to answer research questions

- Implemented first Generative AI enterprise level NLP solution to read, summarize, categorize to reduce a large corpus of IT ticket descriptions to simple and readable categories.

- Created Azure Databricks pipelines to feed a dashboard tracking software and hardware issues in real-time - Created a support-vector machine NLP model to categorize IT descriptions in a single day - Developed time-series algorithm to warn clients of major outage using ticket data.

• Created reports to demonstrate new ideas, built Power BI dashboards for other less technical departments Illinois Institute of Technology, Physics Department Research Assistant May 2018 to Aug 2018

Analysis of Extended X-ray Absorption Fine Structure (EXAFS) Data Using Artificial Intelligence Techniques Objectives were to use an application that utilized web scraped data to simulate an Extended X-ray Absorption Fine Structure test. revealing the structure of sample molecules.

• Creation of a Python script to web-scrape data from two websites, and a Linux shell script that would execute a extremely complex physics calculation called “FFEF”. The output of this is to be used for future Artificial Intelligence techniques to determine the structure sample of molecules.

• Progressed the project forward with little guidance and a limited background understanding of the subject matter.

• Initiated a research project to determine feasibility for future calculations BP – America Jun 2012 to Jun 2016 Coiled Tubing Drilling Engineer Responsible for developing, planning, and coordinating with cross-functional teams made up of Geologists, Production Engineers, and Petrophysicists for operations necessary to drill economically successful wells with Coiled Tubing Drilling Rigs in the Prudhoe Bay for BP Alaska Exploration.

• Planned, designed, and operated ten wells that aligned with BP’s business design in capital expenditure in excess of $3mil.

• Developed a new method for running, cementing, and logging a 3-1/4” liner in one run saving time and $90k per well.

• Coordinated, planned and milled the first successful composite shoe track for a 3-1/4” cemented intermediate liner saving over 20 hrs and $400k from previous methods.

• Proactively developed and analyzed project financial reports for the Wells Organization that were previously non-existent. The reports were used at the highest level in the Wells Organization in Alaska to provide financial projections to BP Global. Development of the reports was an individually driven endeavor that required minimal supervision or direction.

• Subject Matter Expert in the Wells Organization in utilizing database tools to develop accurate financial analysis for projects.

• Interpreted log and sensor data to make significant financial and safety decisions.

• Rotated to a variety of oil fields in Texas, Alaska, Wyoming, and Northern Alberta

• In well planning, utilized Arc GIS to plan well head locations, map routes for rigs, determine spacing and rig placement, and well bore locations to name a few.

United States Army- Officer May 2007 to Jun 2012

Quality Control & Compliance Manager- US Army Corps of Engineers Sep 2010 to Jan 2011 Oversaw the execution of multiple engineering projects managed by the Corps of Engineers. Ensured outside engineering/construction companies followed their contractual obligations and adhered to relevant safety/environmental regulations.

• Supervised from start to finish a beach nourishment project that mitigated the erosion of Lincoln Park, WA. Platoon Leader Sep 2008 to Mar 2010

Led and deployed with a reconnaissance platoon in a Reconnaissance, Surveillance, and Target Acquisition Squadron in support of Operation Iraqi Freedom. Responsible for the discipline, welfare, and combat readiness of 20 subordinate leaders and soldiers as well as the accountability, maintenance, readiness, and tactical employment of 4 Stryker combat vehicles valued in excess of $10 million.

• Developed such a strong relationship with the most powerful tribal leader and was personally credited by my Squadron Commander for the relative peace in our Area of Operations.

• Served as the Squadron HAZMAT Officer, overseeing the safe and efficient handling of hazardous materials for shipping to Iraq from 2009 to 2010. Recognized for exceptional performance in this role, completing essential tasks in one-third the usual time, significantly contributing to the brigade's readiness and timely deployment of equipment. Publications

Jeff Terry, Miu Lun Lau, Jiateng Sun, Chang Xu, Bryan Hendricks, Julia Kise, Mrinalini Lnu, Sanchayni Bagade, Shail Shah, Priyanka Makhijani, Adithya Karantha, Travis Boltz, Max Oellien, Matthew Adas, Shlomo Argamon, Min Long, and Donna Post Guillen, “Analysis of Extended X-ray Absorption Fine Structure (EXAFS) Data Using Artificial Intelligence Techniques,” Applied Surface Science 547, 149059 https://doi.org/10.1016/j.apsusc.2021.149059 (2021).

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