Foundation: Enterprise Engineering
Built large-scale backend features and data-intensive services, learning how to ship dependable software in complex environments.
Development Journey
Scale: Microservices & Cloud Platforms
Transitioned to distributed systems with Docker, Kubernetes, CI/CD, and cloud infrastructure focused on uptime, performance, and maintainability.
Leadership: Backend & DevOps Team Lead
Led architecture decisions, mentorship, and delivery practices while driving observability standards and platform reliability.
Now: AI-Driven Automation
Building practical LLM-powered workflow automation and intelligent tooling to accelerate engineering and operations.
Skills Snapshot
Languages & Frameworks
Python, Go (Beginner), Shell, Django, Flask, JavaScript
Cloud & Containers
AWS, GCP, Docker, Kubernetes
Data & Messaging
PostgreSQL, MySQL, MongoDB, Redis, Celery
Workflow & DevOps
Jenkins, Apache Airflow, Git, GitHub, GitLab, Linux
Observability
Prometheus, Grafana, Loki, Splunk, Datadog, Elasticsearch
AI & ML Tooling
LLMs, Hugging Face, Ollama, LM Studio, scikit-learn, PyTorch, n8n
What I Care About
Engineering for Reliability
Designing systems that stay fast, resilient, and observable under pressure.
Automation with Purpose
Reducing repetitive work through robust pipelines and intelligent task orchestration.
People & Process
Helping teams deliver better software through mentorship, reviews, and pragmatic standards.