Ankit Kumar Sinha
Staff MLE at Teladoc Health | Problem Solver | AI | Machine Learning | Deep Learning | GenAI | MLOps | LLMOps | GCP and Azure Certified | NLP | Vision
- Role
- Staff Machine Learning Engineer at Teladoc Health
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Ankit Kumar Sinha
As a Machine Learning Engineer, I bring extensive expertise in Azure, Databricks, and GCP, demonstrating a commitment to mastery across multiple cloud environments. With a focus on practical applications, I have deployed over 100+ machine learning models in production, showcasing hands-on experience in ML, DL, AI, software development, MLOps, and a diverse technology stack encompassing Kubernetes, Docker, Big Query, Cloud Functions, and more.My proficiency extends to cutting-edge domains, including machine learning, deep learning, computer vision, natural language processing (including Gen AI), and reinforcement learning. As evidenced by a published patent and another under review, I actively contribute to innovative solutions, pushing the boundaries of AI to address real-world challenges.
Experience
Staff Machine Learning Engineer
Feb 2025 — Present · Dallas, TX, US
Engineered and deployed a GenAI Coach Co-Pilot, facilitating personalized real-time responses that enabled coaches to interact with millions of customers with under 300ms latency, 95% relevance accuracy, 91% user satisfaction, and driving $650K annual operational savings- Designed an Intellicoach agentic system for coaches to optimize patient interactions before, during, and after online visits. The system summarizes key information, generates meeting notes, and performs follow-up actions with under 500 ms response time and 94% user satisfaction, saving coaches an average of 15 hours per month and delivering an estimated $2.4M in annual savings- Built secure, keyless CI/CD pipelines using GitHub Actions with Azure OIDC for Databricks and Azure, including modular Terraform infrastructure, gated IaC security scanning, and automated environment-specific provisioning that enables new project self-onboarding in under 5 minutes and single day dev-to-prod deployments- Oversee the administration of key machine learning platforms for Teladoc’s AI teams, including AWS Databricks, Azure (ML, Functions, AI Search, OpenAI, Bot, Speech Service), and associated deployment pipelines.
Education
University at Buffalo
Master's degree, Computer Science
2018 — 2020
Kalinga Institute of Industrial Technology, Bhubaneswar
Bachelor's degree, Computer Science
2014 — 2018
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