Open to opportunities

Beamlak Tamirat

@beamlaktamirat

Message

Full-Stack developer and AI trainer focused on shipping reliable web apps and improving LLM coding.

Ethiopia

Message

What I'm looking for

I’m looking for a role where I can build production full-stack systems and directly support LLM coding training/evaluation. I prioritize correctness, edge cases, maintainability, and collaborative code reviews/mentoring, using Docker and reliable CI/CD workflows.

I’m a full-stack developer and AI trainer who ships production web apps and supports LLM training and evaluation for coding. I’m strong in JavaScript/TypeScript, Node.js, and React/Next.js, and I enjoy making AI-generated code correct, readable, and maintainable.

In my freelance work, I review and improve AI-generated code for correctness, readability, and security. I find logic bugs, edge cases, and vulnerabilities, then turn solutions into clean, testable implementations with clear, “senior engineer” explanations.

Previously as a Senior Fullstack Developer at A2SV, I built and shipped fullstack applications in containerized environments. I implemented REST APIs, JWT/OAuth2 authentication, role-based access control, and used Docker, Docker Compose, Nginx, and CI/CD to deploy reliably.

My projects reflect both engineering and evaluation rigor—PromptForge for prompt lifecycle and structured evaluation with regression alerts, and ParkMe Plus for a multi-app smart parking platform with REST APIs, real-time availability, role-based workflows, and integrated payment/session reporting.

Experience

Work history, roles, and key accomplishments

Current

Fullstack Developer & AI Trainer

Current

Freelance

Nov 2025 - Present (10 months)

Reviewed and improved AI-generated code in JavaScript/TypeScript and Python for correctness, edge cases, security, and maintainability. Designed Dockerized coding tasks and workflows to support LLM training and evaluation using Git/PR practices.

JavaScript TypeScript Python Debugging Refactoring Edge Cases Docker Git Pull Requests Prompt Engineering LLM Evaluation

Senior Fullstack Developer

A2SV

Aug 2024 - Jul 2025 (11 months)

Built and shipped fullstack web apps with React/Next.js and Node.js/Express, including REST APIs and JWT/OAuth2 authentication with role-based access control. Used Docker/Docker Compose, Nginx, and CI/CD for deployments and improved performance via caching and database query tuning while leading code reviews and mentoring.

React Next.js Node REST APIs JWT Role Based Access Control Docker Docker Compose Nginx CI CD Redis Performance Optimization Caching Code Review Mentor Technical Documentation

Backend Engineer (Node/Python)

Efuye Gela Technologies

Oct 2023 - Apr 2024 (6 months)

Developed backend services in Node.js and Python using third-party APIs with relational and NoSQL data stores. Added structured logging, health checks, graceful shutdown, and clear error handling; dockerized services for local development and collaborated on API contracts and response/error schemas with the frontend.

Node.Js Development Python Graceful Shutdown Error Handling Docker Docker Compose API Versioning

Education

Degrees, certifications, and relevant coursework

Adama Science and Technology University

Bachelor of Science, Software Engineering

2021 - 2025

Grade: 3.82/4 CGPA

BSc in Software Engineering with coursework covering Data Structures & Algorithms, Operating Systems, Database Systems, and Software Engineering. Maintained a CGPA of 3.82/4.

Africa to Silicon Valley (A2SV) Coding Academy

Intensive coding program, Computer Science (Algorithms)

2024 - 2024

Activities and societies: Selected for Google-backed intensive program; 500+ LeetCode/Codeforces problems.

Selected for a Google-backed intensive coding program in 2024 and solved 500+ algorithmic problems across LeetCode and Codeforces.

Coursera (Stanford University & DeepLearning.AI)

Machine Learning Specialization, Machine Learning

2024 - 2024

Completed a comprehensive machine learning specialization covering supervised, unsupervised, and reinforcement learning. Built hands-on models including linear regression, logistic regression, and neural networks.