career.timeline()
My Journey
What I've been up to — from where I am now back to where it started.
Associate MLOps Engineer
@ Machine Learning 1
Running the infrastructure side of things — Kubernetes clusters, CI/CD pipelines, monitoring, and security across a fintech platform doing identity verification.
- Managing 50+ Kubernetes clusters with CPU/GPU nodes across dev, staging, and production
- Maintaining 140+ microservices with zero-downtime rolling deployments
- Automating infrastructure provisioning and security hardening with Ansible
Sep 2024 — Present
Machine Learning 1
Associate MLOps Engineer
@ Machine Learning 1
Running the infrastructure side of things — Kubernetes clusters, CI/CD pipelines, monitoring, and security across a fintech platform doing identity verification.
- Managing 50+ Kubernetes clusters with CPU/GPU nodes across dev, staging, and production
- Maintaining 140+ microservices with zero-downtime rolling deployments
- Automating infrastructure provisioning and security hardening with Ansible
Jun 2024 — Aug 2024
Machine Learning 1
Python Developer
@ Machine Learning 1
Built internal APIs and real-time dashboards, owned the deployment pipeline for a few microservices.
- Developed FastAPI services for log analysis and operational metrics
- Created real-time Streamlit dashboards for monitoring client requests
- Wrote automated deployment scripts with rollback support
Python Developer
@ Machine Learning 1
Built internal APIs and real-time dashboards, owned the deployment pipeline for a few microservices.
- Developed FastAPI services for log analysis and operational metrics
- Created real-time Streamlit dashboards for monitoring client requests
- Wrote automated deployment scripts with rollback support
Intern — Software Engineering
@ Machine Learning 1
Got hands-on with automation scripts, basic infra monitoring, and learned how production ML systems actually work.
- Wrote Python automation scripts for data pipeline health checks
- Built internal tooling for log aggregation and monitoring dashboards
Mar 2024 — May 2024
Machine Learning 1
Intern — Software Engineering
@ Machine Learning 1
Got hands-on with automation scripts, basic infra monitoring, and learned how production ML systems actually work.
- Wrote Python automation scripts for data pipeline health checks
- Built internal tooling for log aggregation and monitoring dashboards
things I've built
Key Projects
Real-time Dashboard with Streamlit
Created a live status board showing client request stats, logs, user-based access, and advanced visualizations for operational monitoring.
Kubernetes Cluster Management
Over 50 clusters with CPU/GPU nodes and 140+ microservices maintained using centralized K8s config and GitOps practices.
Zero-Downtime CI/CD Deployments
Automated deployment pipelines with rollback-safe updates and alert triggers ensuring seamless production releases.
Security Collaboration
Helped implement CIS-compliant system hardening alongside the security team to ensure infrastructure meets compliance standards.
ElasticSearch Runtime Queries
Built internal APIs to fetch and interpret logs and metrics from ES for operational services, enabling real-time insights.
let's connect
Get In Touch
I'm always interested in discussing new opportunities, innovative projects, or sharing insights about MLOps and DevOps.
