AI Training & Code Evaluation Specialist at LBLX116 (2026-02 – Present)
Formulated Python and C++ programming tasks to train and benchmark large language models (LLMS).
- Formulated Python and C++ programming tasks to train and benchmark large language models (LLMS).
- Constructed coding exercises to evaluate model reasoning, problem-solving, and algorithmic skills.
- Examined AI-generated solutions for logical consistency, performance, and edge cases.
- Uncovered subtle bugs, inefficiencies, and optimizations opportunities across multiple solution approaches.
- Documented structured explanations and annotations, improving model reliability and alignment with practical coding standards.
- Applied advanced algorithmic analysis and problem-solving techniques in a high-accuracy, task-driven environment.
Backend PHP Developer at ABC Hosting Ltd (2024-01 – 2025-03)
Delivered critical backend features for a live platform serving 10,000+ active users with 5,000+ daily requests.
- Delivered critical backend features for a live platform currently serving 10,000+ active users.
- Maintained REST endpoints and asynchronous workers handling 5,000+ daily requests while ensuring consistent system stability.
- Accelerated build and release cycles by 35% through Docker-driven workflow enhancements and improved deployment automation.
- Integrated external services processing 300+ webhook events per day, encompassing complex payment and system callbacks.
- Instituted structured logging and retry strategies, successfully reducing background job failures by 25%.
- Collaborated effectively across 3+ time zones within a fully remote engineering team environment.
Senior Backend & Full Stack Engineer at Soldait (2020-08 – 2023-12)
Architected and developed resilient Laravel-based backend services supporting 20,000+ users with near round-the-clock availability.
- Architected and developed resilient Laravel-based backend services supporting an active user base exceeding 20,000+ users.
- Sustained continuous business functionality via resilient API layers, achieving near round-the-clock availability.
- Enhanced release stability by 40% by implementing containerized deployments and fully automated CI/CD pipelines.
- Optimized database access patterns and request handling logic, successfully lowering average API latency by 30%.
- Mitigated high-priority production incidents, resulting in a 20% reduction in peak-hour downtime.
- Coordinated over 10 production releases per month in tight collaboration with Product, Frontend, and DevOps teams.
