Solve complex problems. Ship reliable systems.
I build and scale real-time, high-traffic data systems with fault-tolerant ETL, retries, and observable pipelines, so ingestion stays fast when demand spikes.
I improve data quality through validation rules, schema normalization, and automated checks, reducing manual verification and rework across production workflows.
I design resilient systems with monitoring, alerting, and recovery paths, keeping pipelines reliable under peak load and minimizing downtime risk.
I automate diagnostics and repetitive fixes with scripts and runbooks, accelerating triage, reducing ticket cycles, and improving operational flow.
I develop and integrate applied AI where it creates measurable value, from training and evaluation to deployment workflows and monitoring in production.
I improve engagement using real-time features and intelligent recommendations, delivered through secure APIs, fast UX, and scalable backend systems.
Building production-grade backend and full-stack systems with Python and cloud-native architecture, designed for reliability, scale, and real-world usage.
Designing and deploying data pipelines, GenAI, NLP, and recommendation systems that improve accuracy, performance, and decision-making in production environments.
Developing cloud infrastructure, CI/CD pipelines, and automated workflows that support high-availability applications and reduce operational overhead.
