Currently an Extern @Pfizer
Building hands-on experience in AI-powered document insights through a Pfizer externship while completing my degree.
Work samples focus on AI document insights and data extraction methods learned during the Pfizer Advanced externship, showing applied learning and technical experiments.
Kaggle · Aug 2026
Built a custom reinforcement learning agent to play Pokémon TCG using a simulated game environment and PyTorch. Designed reward shaping for card sequencing, board development, energy management, damage, knockouts, and win conditions. Integrated multiprocessing to run parallel battle environments and
Engineered a real-time edge AI health-screening system on a Raspberry Pi 5, integrating YOLO (Ultralytics) for automated person detection and tracking in public environments. Trained and deployed a logistic regression classifier on multi-sensor physiological data, achieving 94% accuracy for early il
Fine-tuned Stable Diffusion (v1.5/XL) on a curated high-resolution image dataset using DreamBooth and LoRA for high-fidelity subject consistency. Deployed a scalable generative inference pipeline on Hugging Face Spaces with a Gradio interface for real-time, user-prompted image generation. Reduced in
Collaborated with a classmate to build a solution for the land-development industry: an ensemble classifier predicting buildable lot counts from a given plot. Combined multi-modal OCR, packing algorithms, and a CNN for plot-shape analysis; identified class imbalances and proposed data-centric fixes.
Built a full-stack financial analytics platform delivering real-time stock data, interactive charts, market movers, and company fundamentals. Integrated OpenAI and LangChain to analyze financial news and generate bullish/bearish insights and market outlook summaries. Developed real-time data pipelin
Co-built a RAG-based health and wellness web app, integrating a vector database with an LLM via LangChain for source-grounded responses. Built a Streamlit app generating AI-driven product descriptions, establishing a CI/CD workflow for Streamlit deployments.
Built a multi-agent research assistant using LangChain/LangGraph and the Firecrawl API to automate live web retrieval, reasoning, and MLA-cited report generation with chain-of-thought prompting. Built a companion news-analysis agent applying sentiment analysis, NER, and LDA topic modeling (spaCy, NL
Building hands-on experience in AI-powered document insights through a Pfizer externship while completing my degree.
I am Trevon Woods, a junior at Houston City College working toward a bachelor's degree. I have limited formal work experience and I completed the Pfizer Advanced: AI-Powered Document Insights & Data Extraction externship to build practical skills in AI and data extraction.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
Pfizer
Experience
Mortgage Broker
HK Lending LLC · Feb 2022 93 Present
Special Education Teacher
Durham Middle School · Aug 2020 93 Aug 2021
Research Call Center Associate
Creative Consumer Research · Sept 2018 93 Mar 2019
Education
Houston City College
B.A.T. in Artificial Intelligence & Robotics · Class of 2028
Coding Temple
Software Engineering Professional Certificate · Class of 2023
Skills
Kaggle · Aug 2026
Built a custom reinforcement learning agent to play Pokémon TCG using a simulated game environment and PyTorch. Designed reward shaping for card sequencing, board development, energy management, damage, knockouts, and win conditions. Integrated multiprocessing to run parallel battle environments and
Built a custom reinforcement learning agent to play Pokémon TCG using a simulated game environment and PyTorch. Designed reward shaping for card sequencing, board development, energy management, damage, knockouts, and win conditions. Integrated multiprocessing to run parallel battle environments and accelerate experience collection during training. More info in resume.
Engineered a real-time edge AI health-screening system on a Raspberry Pi 5, integrating YOLO (Ultralytics) for automated person detection and tracking in public environments. Trained and deployed a logistic regression classifier on multi-sensor physiological data, achieving 94% accuracy for early il
Fine-tuned Stable Diffusion (v1.5/XL) on a curated high-resolution image dataset using DreamBooth and LoRA for high-fidelity subject consistency. Deployed a scalable generative inference pipeline on Hugging Face Spaces with a Gradio interface for real-time, user-prompted image generation. Reduced in
Collaborated with a classmate to build a solution for the land-development industry: an ensemble classifier predicting buildable lot counts from a given plot. Combined multi-modal OCR, packing algorithms, and a CNN for plot-shape analysis; identified class imbalances and proposed data-centric fixes.
Built a full-stack financial analytics platform delivering real-time stock data, interactive charts, market movers, and company fundamentals. Integrated OpenAI and LangChain to analyze financial news and generate bullish/bearish insights and market outlook summaries. Developed real-time data pipelin
Co-built a RAG-based health and wellness web app, integrating a vector database with an LLM via LangChain for source-grounded responses. Built a Streamlit app generating AI-driven product descriptions, establishing a CI/CD workflow for Streamlit deployments.
Built a multi-agent research assistant using LangChain/LangGraph and the Firecrawl API to automate live web retrieval, reasoning, and MLA-cited report generation with chain-of-thought prompting. Built a companion news-analysis agent applying sentiment analysis, NER, and LDA topic modeling (spaCy, NL
