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About Me
I'm a dedicated developer, engineer, and designer passionate about crafting innovative solutions that make a difference.
A critical thinker and adaptable team player, I thrive on solving complex problems and building innovative products that push technology forward.
Education
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Experience
- AI/ML & Data Engineer specializing in full-stack development, data science, and generative AI solutions to deliver scalable, production-grade systems for federal clients.
- Develops frontend features, backend APIs, and extended database functionality to support new platform capabilities across the application stack.
- Builds data pipelines that weekly process 2TB+ of structured, semi-structured, and unstructured multimodal data, powering AI-driven correlation features across computer vision, data science, and more.
- Manages CI/CD and biweekly deployments (Docker, GitHub Actions, Temporal) in an air-gapped environment using an agile sprint cadence, including feature testing, while serving as direct technical liaison to the client and senior leadership.
- Provide consulting and custom software/AI solutions across web & app development, data science, genAI, and computer vision. Delivered freelance web development, ETL, and other consulting projects for 15 additional clients.
Jan 2026 – Present
Co-Lead Developer · Dynasty Futures
- Built a proprietary futures trading platform with over 50 customers.
- Worked on a team of four (two developers) to execute product design, development, CI/CD, and maintenance for the platform.
- The product generates roughly $5,000 weekly in profit.
May 2024 – May 2026
Cofounder & CTO · CampusCore
- Built an AI-driven academic advising platform and released on iOS and Android (App Store and Google Play).
- Led a team of 6 through product design, development, deployment, and continuous iteration based on university and advisor feedback.
- Secured $50,000 in funding through Microsoft for Startups.
Oct 2025 – Jan 2026
Contracted Developer · OBAI
- Helped develop a proprietary computer vision algorithm for users to detect damage and generate cost estimates from the detected damage.
- Progressed from a part-time Systems Engineer role into a full-time Member of Technical Staff position, delivering AI/ML, data, and cloud solutions for space, defense, and national security mission partners.
Jan 2025 – Mar 2026
Member of Technical Staff – AI/ML Engineer · The Aerospace Corporation
- Built and deployed Generative AI, computer vision, and ETL/ELT data pipeline solutions for space and defense mission partners.
- Developed RAG-based AI systems using Python, GPT-4o/Vision Instruct, GTE, Azure Cloud, and vector DBs (Weaviate/Cognitive Search/Pinecone), integrated via LangChain.
- Designed and maintained 15+ automated pipelines (Python/Node.js, Airflow/Jenkins) using Azure and internal relational/NoSQL databases.
- Delivered CV solutions, including real-time YOLO detection on edge devices, Mask-RCNN segmentation for imagery, and document OCR workflows.
- Co-led enterprise cloud data architecture initiative, centralizing datasets and creating standard operating procedures for secure migration protocols and access controls.
May 2023 – Dec 2024
System Engineer (Part-Time) · The Aerospace Corporation
- Created a web application for 3D visualization of launch vehicles at a component level.
- Created ETL scripts processing contract data through to real-time satellite information.
- Used sentiment analysis on legacy flight data to detect potential failures within launch vehicle components.
- Employed penetration testing techniques to identify and secure vulnerabilities in Nordstrom's application infrastructure.
- Migrated the production data of 4 global plants to Azure Cloud, improving real-time data availability and allowing for more in-depth global decision-making.
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