Erik Tastepe

Experienced Software Engineer with a strong background in scaling technologies from startup to enterprise environments. Experience in leading technical strategy across AI, data, and full-stack software engineering.

New York, NY

About

Technical leader who drives projects from concept to production across diverse environments. My expertise spans high-throughput data pipelines, cloud architecture, and full-stack application development. I excel at bridging the gap between business objectives and technical implementation, having successfully delivered enterprise-grade solutions at growth-stage startups and Fortune 500 companies alike.

Skills and Certifications

Skills

Python, TypeScript, Rust, PostgreSQL, LangGraph, RAG, AWS, Spark, Docker

Certifications

AWS Certified Data Engineer, AWS Certified Cloud Practitioner

Work Experience

Ponder

March 2024 - Present

Staff Software Engineer - AI & Backend

  • Deployed production AI agents across social networks using LangGraph, OpenAI and Anthropic APIs to automate user interactions
  • Built RAG pipelines to ingest and process real-time social data from X/Twitter and Farcaster APIs for AI agent consumption
  • Developed ML clustering algorithms using scikit-learn to detect coordinated voting fraud in our polling product
  • Built event-driven notification system using Redis and BullMQ job queues that increased daily active users by 200%

DRAUP

August 2023 - March 2024

Lead Engineer

  • Led technical strategy for a digital fashion startup, acquired in 2024
  • Architected scalable AWS infrastructure using Docker and Terraform, enhancing system reliability and supporting increased user demand

Silika Studio

January 2022 - May 2023

Co-founder

  • Founded and scaled a blockchain development agency delivering full-stack applications that generated over $100k in client revenue

General Electric Aerospace

June 2020 - January 2022

Software Engineer - Data

  • Built flight analytics platform using Python/Spark that reduced unplanned maintenance
  • Developed a predictive maintenance system that processed over 100GB of daily in-flight data, enhancing maintenance scheduling efficiency

Education

Georgia Institute of Technology

MS Analytics - Computational Data Analytics

University of Florida

MS Materials Science and Engineering (Thesis)
BS Materials Science and Engineering - Semiconductor Materials

Publications

Adhesive Joining of Composite Laminates Using Epoxy Resins with Stoichiometric Offset

Palmieri FL, Hudson TB, Cano RJ, Tastepe E, et al.
Annual Meeting of the Adhesion Society, 2019