I am a Senior MLOps & GenAI Engineer focused on deployment pipelines, containerized model serving, and CI/CD automation for production AI systems. I bridge the gap between research-grade AI and scalable, real-world applications.
My core focus is architecting robust ML/LLM deployment pipelines with automated CI/CD, designing production-grade REST APIs for secure model serving, and building real-time multi-agent systems (vision, RAG, grounded search). I don't just train models; I build the ecosystems they live in.
LSTM-based time-series forecasting system identifying top performing stocks with high precision. Winner of AAIC Competition — 20% ROI, ranked 1st in profit.
End-to-end VPN platform (+20% sales); stable MVC architecture (+85% stability). Automated server management with Python, Bash & cronjobs.
98% accuracy on 400 videos; 40% runtime reduction via systematic error analysis. Configured for containerization and cloud deployment.