Services
Video meeting . 15 mins
Video meeting . 30 mins
Video meeting . 30 mins
Video meeting . 60 mins
Video meeting . 30 mins
Video meeting . 30 mins
Video meeting . 30 mins
About me
17+ years in Software Engineering, Cloud Computing, DevOps, MLOps, and AI/ML Platform Development.
- I am currently leading MLOps projects at Synopsys in ATLAS team, where I am driving the implementation of AI/ML platform for Synopsys data science teams using open source tools and technologies.
- In January 2020, Lead and built an AI/ML Platform in less than 6 months to expedite Data Science adoption by using only In-house tools and on-premise technologies at Dell. The product adoption went from Zero to 500 users in less than 3 months and helped the company save $2 Million per year in the form of Vendor License fees and Cloud bills.
- In July 2016, I was responsible for leading and building a Social rewards fulfillment system from the ground up at Sears. I used the scalability of the cloud to reduce the time delays to process a request by 10X. To prevent requests leakage, I architected and implemented software systems that were resilient to failures from downstream apps, resulting in zero request data loss.
- In February 2012, Rearchitected and developed a Digital Signage content management software to support cloud scalability and optimized compute setup to save the company over $1 Million in Cloud bills at CE Labs.
I get excited about opportunities where I can join forces with tech savvy teams that are working on solving world problems. I love connecting with new people, so follow me or send me a connect request here on LinkedIn!
- Sagar demonstrated exceptional skills in developing an Enterprise AI Platform at Hypergiant, showcasing solid ModelOps knowledge, Azure deployment, and Airflow for AutoML. He developed high-quality code using Node.js, GraphQL, and Python, improved CICD, and actively supported team members, establishing effective development cycles and scrum processes. Highly recommended for future success.AI-generated from recommendations on