Brigidi Blay

Product Engineer

Austin, Texas, United States1 yr 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Built audio fingerprinting engine for 300+ music producers.
Reduced processing time by 30 hours weekly with NLP pipelines.
Proficient in full-stack development and AI/ML engineering.

Stackforce AI infers this person is a Full-Stack Developer with strong AI/ML capabilities in the SaaS industry.

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Skills

Core Skills

Ai/ml EngineeringAutomationFull-stack DevelopmentFinancial Services

Other Skills

Natural Language ProcessingComputer VisionPythonNode.jsCareer ExplorationDistributed SystemsConfluentAnthropic APISnowflakeRetrieval-Augmented Generation (RAG)Software InfrastructureAgile MethodologiesPostmanNetworkingPrometheus.io

About

I am a results-driven Computer Science student at Ashesi University with a passion for building scalable and impactful technology. My experience spans full-stack development and AI/ML engineering, with a proven track record of solving complex problems and delivering tangible results. I've built an audio fingerprinting engine that scaled to support over 300 music producers, along with NLP pipelines at EcoHouse that reduced manual processing time by over 30 hours per week. My work at MoneyLink further honed my skills in backend systems and database optimization. I'm always eager to learn and apply my skills in data structures, algorithms, and distributed systems to create meaningful products. I'm actively seeking Software Engineering internships where I can contribute to a team and build at scale, and I'm always open to connecting with people in the industry.

Experience

1 yr 5 mos

Total Experience

1 yr 3 mos

Average Tenure

1 yr 5 mos

Current Experience

Karat

Brilliant Black Minds

Jun 2025 – Present · 1 yr · Seattle, Washington, United States

Goldman sachs

Virtual Insight Series

Jun 2025 – Jul 2025 · 1 mo

Financial ServicesCareer Exploration

Extern

Al and Automation Extern, Outamation

May 2025 – Present · 1 yr 1 mo · Remote

Built Al-powered workflows to automate document classification and data extraction, using Natural Language Processing (NLP), Computer Vision, and Python-based pipelines (PyMuPDF, OCR techniques).
Developed a retrieval system with Llamalndex and Retrieval-Augmented Generation (RAG) to improve information search accuracy across mortgage documents, while evaluating open-source Al models for performance optimization.
Synthesized technical findings by compiling a comprehensive analysis report on top Al models for document processing, highlighting key challenges, optimization strategies, and real-world deployment recommendations.

Natural Language ProcessingComputer VisionPythonAI/ML EngineeringAutomation