Ajay Dabas

About Ajay Dabas

Work experience: 5+ yearsFull-stack developer turned MLOps engineer — I thrive at the intersection of software engineering, machine learning, and infrastructure. I’ve built high-scale systems from the ground up: from React.js + Node.js/Python apps used by thousands of users worldwide, to distributed ML pipelines running on Ray, AWS, Kubernetes, Terraform, and Metaflow. MLOps & Infra: Kubernetes, ArgoCD, Terraform, Docker, GitOps, AWS, GCP, Azure Full-Stack: Python (FastAPI), React.js (UI), Next.js, TypeScript, Node.js, JavaScript, PostgreSQL, MongoDB, REST, Redis, GraphQL🧠 ML Tooling: Langchain, Pytorch, MLFlow, Ray, Metaflow, Keras, SageMaker, Kendra Testing & Automation: Cypress E2E, Jest Unit testing, CI/CD pipelinesI bring a unique edge: I can design delightful user experiences, deploy resilient backend systems, and architect infrastructure that scales with confidence. Whether it’s building an ML workflow orchestration system handling 100s of jobs daily requiring vCPUs & 4TB+ RAM, or delivering 50M+ CSV records across 300K+ emails with strict API constraints, or reducing deployment times from 35+ minutes to under 5 — I love solving complex problems with clean, efficient code.Engineer first, builder always. I speak dev, infra, and ML — fluently.

Experience

1. Senior Software Engineer (Mlops)

   Twilio

   Mar 2023 — Present · Bengaluru, IN

   Led the development of a sales copilot that enabled targeted upselling by analyzing customer usage, needs, and budgets. Scaled a PoC into a full product with a team of 4 engineers and 2 data scientists, driving $2M+ in upsell revenue within a single quarter.* Built an organization-wide ML workflow orchestration platform that allows data scientists and AI engineers to train, deploy, and monitor machine learning models at scale. I used AWS, Metaflow, Kubernetes, and ArgoCD to architect the solution. At peak load, the system auto-scaled to handle jobs requiring vCPUs and 4TB+ of RAM, processing over 100s of jobs per day.* Deployed and managed Ray stack for distributed Python and AI applications at scale* Managed Kubernetes clusters and ArgoCD for 40+ production apps (APIs, UIs, ML tools like Streamlit)* Led 10DLC Campaign: Engineered a high-throughput system to deliver 50M+ CSV records across 300K+ emails via SendGrid, overcoming strict compute and API constraints* Engineered a self-service platform with CI/CD for seamless deployment to Kubernetes with GitOps-driven syncing* Provisioned and maintained ML infrastructure with Terraform, ensuring high availability and reliability

Education

• Central Board of Secondary Education

  Class 12th, Science Stream (CS, Physics, Chemistry, Math)

  2015 — 2017

• Delhi College of Engineering

  Bachelor of Technology - BTech, Computer Software Engineering

  2017 — 2021