Ajay Dabas

Senior Software Engineer

New Delhi, Delhi, India6 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Built scalable ML workflow orchestration platform.
Reduced deployment times from 35+ minutes to under 5.
Engineered high-throughput delivery system for 50M+ records.

Stackforce AI infers this person is a Full-Stack Developer and MLOps Engineer with expertise in SaaS and Machine Learning.

Contact

se.dabasajay@gmail.com LinkedIn

Skills

Core Skills

MlopsMachine LearningInfrastructureFull-stack DevelopmentWeb Development

Other Skills

API ManagementAWSAlgorithmsArgoCDArtificial Intelligence (AI)BootstrapBuilding PerformanceCC++CI/CDCascading Style Sheets (CSS)ChatGPTComputer NetworkingComputer ScienceComputer Vision

About

Work experience: 5+ years Full-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 pipelines I 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 2000+ 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

6 yrs

Total Experience

2 yrs

Average Tenure

4 yrs 11 mos

Current Experience

Twilio

2 roles

Senior Software Engineer (MLOps)

Promoted

Mar 2023 – Present · 3 yrs 3 mos · Remote

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 2000+ 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

AWSMetaflowKubernetesArgoCDTerraformML workflow orchestration+4

Software Engineer (Full-stack TypeScript)

Jul 2021 – Mar 2023 · 1 yr 8 mos · Remote

Spearheaded the development of showcase portal for Twilio’s annual conference, used by 250+ partners and thousands of users globally.
Saved 400+ hours of developer's time by optimizing project deployment pipeline from 35+ minutes to under 5 minutes!
Took Twilio partners' engagement to a whole another level by building state of the art applications to showcase & onboard their products smoothly.
Contributed to CI/CD pipeline automation, Cypress E2E tests, Jest Unit tests, and single-handedly carried out all DevOps responsibilities for the team.

TypeScriptReact.jsNode.jsCypressCI/CDJest+2

Upcover

Software Engineer

Jan 2021 – Jul 2021 · 6 mos · Sydney, New South Wales, Australia · Remote

Successfully planned and designed a software solution to automate the verification of contractors’ insurance and notify employers of any invalid or expired insurance policies.
Designed and developed the event queue-based architecture for one of upcover’s core services and built multiple APIs within their Firebase-based backend, related to their core insurance business.
Tech: Firebase, Typescript, React.js, Node.js, GCP PubSub.

FirebaseTypeScriptReact.jsNode.jsGCP PubSubFull-Stack Development

Sparrow charts

Software Engineer

Jun 2020 – Jan 2021 · 7 mos · Minneapolis, Minnesota, United States · Remote

Utilized machine learning to estimate the age of customer’s Twitter followers based on their profile and created a micro-service to capture demographics.
Designed and implemented a Node.js microservice that helps clients in task management and a goals dashboard to track monthly progress.
Successfully built multiple features in their react based customer-facing application, including UI components, supporting query parameters to restore app state, pagination, caching, etc.
Technologies: Typescript, React.js, Node.js, Feathers.js, Python, Machine learning, Computer Vision.

Machine LearningNode.jsReact.jsPython

Acpl systems pvt. ltd.

Intern

Dec 2018 – Dec 2018 · 0 mo · Gurugram, Haryana, India · On-site

* Achieved an accuracy of over 90% in detecting suspicious bags from images and live streams by implementing a machine learning based system. YOLO object detection algorithm was used in this project.

Machine LearningYOLO