Samuel Diaz
Python Software Developer at CAI
- Role
- Python Developer at CAI
- Location
- Bronx, NY, US
- LinkedIn followers
- 500 followers
About Samuel Diaz
Currently open for new roles. Python Developer | Back-End Developer | Data Engineer | ETL Engineer | Machine Learning Engineer Top Skill sets: Python Scripting SQL OpenAI Data acquisition/cleaning Data ETL Data Visualization Git/GitHub/Devops Machine/Deep Learning Jira/confluence documentation Flask API A native bilingual New Yorker. Experienced Retail Specialist with a demonstrated history (14 years) of working in the electronics/telecommunications industry. Excelled in Sales, Customer Satisfaction, Customer-focused Service, and team building. It was a great opportunity to build and strengthen relationships between my fellow coworkers as well as my clients. I learned trust is never given but earned. I Fell in love with Python after a long-time friend and another coworker recommended me to learn code. I later found my way to Flatiron School\'s immersive full-time course, in Data Science. Focused on supporting companies through data acquisition, data manipulation, databases, hypothesis testing, data modeling for predicting/classifying, data analysis, statistical analysis and data visualizations. I am driven, organized, consistent, a great listener, always wear a smile to work, and an adept learner with a passion for knowledge. Currently building skills in: Tableau Javascript/Typescript PySpark AirFlow
Experience
Python Developer
Apr 2024 — Present · New York, NY, US
Data and AI Team* Increased functionality and features by executing Python backend code updates to facilitate seamless integration with OpenAI and LangChain during significant version upgrades, successfully migrating from version 0.28.1 to 1.30.2 without disrupting service.* Enhanced data ingestion capabilities for an internal AI application, increasing the volume of files processed by nearly 300%, optimizing the pipeline for reading and inserting data into a VectorDB utilized by LLMs through a Flask API endpoint.* Developed and maintained comprehensive unit and integration testing frameworks in Python to validate functionality of new features, achieving a 100% pass rate during quality assurance checks.* Identified and resolved bugs through diligent testing and via Azure DevOps Storyboards, ensuring rapid turnaround on issue resolution that improved system stability and user satisfaction.* Designed and implemented multiple CRUD API endpoints using Flask, enabling efficient operations for internal AI and chatbox applications, which streamlined handling of personal and collective vector databases in real-time for OpenAI and Ollama LLM models.* Utilized Visual Studio Code effectively for code debugging, diagnosing and resolving critical issues, identifying breakpoints, and ensuring optimal functionality of backend services.
Education
Flatiron School
Data Science
2019 — 2020
A Philip Randolph Campus High School
Engineering
2002 — 2006
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