Sourish Chakraborty
Senior Cloud Data Platform Engineer · Ørsted
AI Engineering & Modern Data Platforms | LLM Integration | MLOps | Platform Engineering | DevOps | Cloud-native Architecture
📍 Kuala Lumpur, Malaysia
Professional Summary
Passionate about innovation and technology, I build modern software platforms and AI systems. Expert in AI Engineering, DevOps, and ML Operations with solid knowledge of Site Reliability Engineering.
Clean Code enthusiast with a proven track record in DevOps, infrastructure automation, and AI solution architecture. Specialised in LLM integration, MLOps infrastructure, and building scalable AI pipelines.
Champion of system and platform migration projects — from legacy platforms to cutting-edge cloud technologies and AI-ready systems. Avid learner in emerging AI technologies, always a self-starter with new domains.
Skilled communicator with agile leadership strengths to deliver on time; able to direct multiple tasks while mastering innovative software, AI tools, and technologies. Inspirational team player and supporter of constructive teamwork.
Core Competencies
DevOps & Platform Engineering
CI/CD, Infrastructure as Code, DevSecOps, build automation, platform migration.
Site Reliability Engineering
Observability, monitoring, incident response, resilience and self-healing systems.
Cloud & Cloud-Native Architecture
AWS, Azure, Kubernetes, microservices, scalable data platforms.
Agile & Delivery
Scrum, SAFe, agile leadership, continuous delivery practices.
Experience
Featured Articles
Building an AI Coding IDE from Scratch: A Full Open-Source Architecture
A deep-dive into designing a full AI coding IDE using only open-source components — FIM autocomplete, chat-in-editor, multi-file agents, repo understanding, and sandboxed code execution.
The Quest for Digital Intelligence: A Deep Dive into How LLMs are Built
Explore the 5-step process of building LLMs: data curation, tokenization, Transformers, training at scale, and evaluation.
LLM Engineering 101: Mastering the Modern AI Stack
Audit and benchmark cloud vs. local LLMs with real-time PII scanning, GPU telemetry, and automated reports in this open-source governance platform.
Career Highlights
- ▸Increased high-frequency data processing capacity by 90%+.
- ▸Led multiple legacy-to-cloud platform migrations.
- ▸Designed and delivered CI/CD automation across cloud and on-prem environments.
- ▸Built Kubernetes platforms supporting mission-critical microservices.
- ▸Created zero-maintenance automated workflows using Infrastructure as Code.
Certifications
Tools & Technologies
Cloud
AWS, Azure, Kubernetes
IaC
Terraform, CloudFormation, Ansible, Packer
CI/CD
Azure DevOps, GitHub Actions, AWS CodePipeline
Observability
Prometheus, Grafana, ELK, Zabbix
Languages
Go, Python, Bash, PowerShell
Languages
Let's Connect
Interested in cloud platforms, DevOps, or scalable data systems? Let's talk.