Serverless architectures, cost optimization, and AWS Solutions Architect-level design (AWS, CDK, Serverless, Docker) for teams that need reliable, scalable infrastructure.
Bringing NLP, deep learning, and predictive models into existing production systems (Python, Pandas, NumPy), grounded in graduate-level AI work and real delivery experience.
Migrating monoliths to service-oriented and event-driven architectures (RabbitMQ, microservices, CI/CD) without disrupting the business.
Mentorship, staff augmentation, and engineering process improvement (DDD, TDD, code review) to help teams ship better software.
I share what I learn at BrainsToBytes, technical writing on software design, distributed systems, and machine learning fundamentals.