I specialize in building and optimizing distributed systems, with deep expertise in Kubernetes, cloud infrastructure, and database scaling. Over 20 years of experience spanning from hands-on engineering to technical consulting.
From building Java platforms at Sun Microsystems to scaling distributed systems for fintech companies, I’ve consistently focused on solving complex technical challenges. My experience spans multiple domains - from telecommunications to financial services to AI infrastructure.
Available for technical consulting and writing projects. View my consulting profile.
A practical guide to integrating existing LDAP directories with Keycloak for seamless SSO, including OpenLDAP setup, user synchronization, and role-based acc...
A practical comparison of client-side and server-side authentication patterns in a single Keycloak implementation, exploring when to use each approach.
A detailed walkthrough of implementing client-side OpenID Connect authentication using oidc-client-ts, including token management, logout handling, and produ...
Deep dive into implementing server-side OpenID Connect authentication using Flask and Authlib, including session management, authorization middleware, and en...
A hands-on comparison of deploying LatentSync on Paperspace Gradient vs Google Cloud Platform, including platform limitations, workarounds, and cost analysis.
How I built a production-ready MLOps pipeline for ByteDance’s LatentSync lip-sync model using Terraform, Cloud Run, and Google Cloud Storage for scalable vid...
How I built a custom Kubernetes operator to automate common cluster components like external-dns, cert-manager, and autoscaling across multiple EKS clusters.
How I built a lightweight logging solution for EKS Fargate workloads using Loki, addressing the limitations of serverless Kubernetes logging before AWS Firel...
How I developed a Python-based motion detection system to filter surveillance video footage, reducing storage requirements and improving analysis efficiency ...
A research project exploring patent similarity search using USPTO data and Python, investigating approaches for automated prior art discovery and patent land...