Hakob Hakobyan

Building internal tools for Grok models and tutor workflows to test internal models before public release. Developing backend services for rating model responses, tracking test results, and internal review workflows.

Delivered solutions for clients from fintech, e-commerce, and SaaS sectors, leading architecture and delivery of scalable services. Mentored new developers on code quality, CI/CD practices, and architecture.

Developed key modules for the drawing engine and mini-app ecosystem used by 50M+ users. Optimized rendering logic in the web editor, reducing canvas load time by 30%.

Architected and built interactive IDE features and microservices for isolated code execution for 40+ languages. Reduced system cold starts by 20% through AWS container orchestration optimizations.

Built backend services for real-time monitoring, scraping, and alerting with 99.9% uptime SLA. Designed REST/GraphQL APIs and integrated with third-party platforms.

Developed backend endpoints and CRUD logic for RESTful APIs supporting internal admin tools. Wrote unit tests and performed debugging to ensure feature reliability.

Pursued a Bachelor of Science in Computer Science at the American University of Armenia from 2020 to 2023.

Served as a Machine Learning Lab Researcher at FAST Foundation from 2019 to 2020.