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TM@teslaman
AI & Full Stack Engineer with 9+ years of experience.
United StatesI am an AI & Full Stack Engineer with over 9 years of experience in developing robust frontend and backend systems. My expertise lies in utilizing technologies such as React.js for frontend development and Python, Golang, and Node.js for backend solutions. I have a strong passion for creating intelligent applications and scalable architectures that enhance user experiences.
Throughout my career, I have successfully designed and implemented AI-driven solutions, including dynamic pricing models and recommendation engines that have significantly increased revenue. My role at Wayfair involved architecting event-driven data pipelines and developing context-aware chatbot solutions, which improved customer query resolution by 40%. I thrive in collaborative environments, mentoring teams on best practices in AI model integration and microservice design.
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Work history, roles, and key accomplishments
Wayfair
Dec 2020 - Present (4 years 11 months)
Engineered high-performance RESTful APIs and microservices using Go to power e-commerce platforms handling over 50K RPM. Designed AI-driven solutions including dynamic pricing models and RAG-based customer support chatbots, increasing revenue by 15% and improving query resolution by 40%. Architected event-driven data pipelines leveraging Pub/Sub for real-time AI processing and implemented cloud-na
Cars Commerce, Inc.
May 2018 - Present (7 years 6 months)
Designed and developed a vehicle-related scraping system, contributing to a 150% increase in sales. Engineered React/Redux frontend applications and built Python-based web scrapers using Selenium and Playwright. Developed a Spark-based big data engine in Scala processing AWS datasets and deployed microservices on AWS, later migrating to GCP.
Affirm
Nov 2016 - Present (9 years)
Developed high-availability RESTful APIs to deliver real-time financial data and engineered a cryptocurrency swap platform implementing Binance's core functionality. Built distributed backend systems using Python for high-throughput financial operations and managed big data pipelines with Apache Spark on AWS EMR. Optimized API performance by implementing caching and automated near-real-time data r
Degrees, certifications, and relevant coursework
Bachelor's Degree, Computer Science
Completed a comprehensive curriculum focused on computer science principles. Gained foundational knowledge in programming, algorithms, and data structures.
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