About Me

Full Stack Developer & AI/ML Engineer with 4+ years of hands-on experience building secure, scalable systems. I specialize in designing and deploying machine learning models at scale, developing secure APIs, and architecting robust backend systems that handle real-world complexity.

My journey in tech combines backend engineering excellence with AI/ML expertise. I've built production systems serving thousands of concurrent users, implemented ML models in FastAPI frameworks, and architected secure microservices for high-traffic applications. Whether it's optimizing database queries, deploying ML models, or securing APIs against vulnerabilities, I bring both technical depth and practical problem-solving.

Security is foundational to everything I build. I conduct penetration testing, perform vulnerability assessments, implement OAuth2/JWT authentication, and ensure data protection across all layers. I understand the OWASP Top 10, common attack vectors, and how to design systems that are both performant and secure.

Beyond backend systems, I'm passionate about AI/ML engineering—from data preparation and model training to production deployment and continuous monitoring. I've worked with TensorFlow, PyTorch, and scikit-learn, and I understand the challenges of bringing models from research to production.

I'm also a strong believer in documentation and knowledge sharing. I write technical blog posts about FastAPI best practices, ML deployment strategies, and backend optimization techniques. Clear documentation and technical communication are as important as clean code.