Ashish Kumar

About Ashish Kumar

AIOps | MLOps | LLMOps | AI Engineer | Data Engineer | Data Architect | DWH Developer | AWS Cloud Platform | Python | Product IntegrationsSkills and Expertise:• Over 15+ years of experience working with senior business stakeholders across the globe• Designed, Architected and implemented scalable AIOps & AI platforms tailored for complex business needs• Deep understanding of AI workflows, Data Engineering pipelines, MLOps practices• Strong expertise in AWS services: S3, ECS/ECR, Lambda, etc.• In-depth knowledge of IaC tools like Terraform• Proven track record of designing, planning, and implementing high-performing large-scale enterprise systems/products• Platform stability, scalability, cost-efficiency, security, governance across all systems• Collaborated with data scientists to have a complete understanding of the ML code• Effective usage of CI/CD pipelines • Worked as an Onsite-Coordinator & lead for a year in Reading, UK• Recent project deliverables:o Developed & deployed Open AI LLM model based solution in Productiono Deployed a Transformer based ML Model in Productiono Designed a efficient ML Model re-training pipelineCollaboration & Leadership:• Proven ability to lead and deliver a project end to end• Versatile team player and adept in playing multiple roles based on the need, as a developer and as a lead• Experience working with cross-functional & extended teams• Represented the team as a leader & participated in requirement gathering, design discussions, planning effort estimations, and execution.• Run Beta programs, take user input and provide appropriate solutions• Hiring, mentoring, and building teamsTechnical Skills:MLOps / AI Engineering:• Architect and implement scalable MLOps & AI platforms tailored for complex business needs• Automate pipelines for data preparation, model training, and deployment• Collaborate with data scientists to have a complete understanding of the ML code in order to optimize workflowsDatabases:• Professional experience in designing & developing Transactional, Analytical databases and data-warehouse implementations• Highly proficient with SQL-based coding with an eye for performance & security• Hands-on with different RDBMS and next-gen DB architectures such as NoSQL/Columnar databases• Experience in handling large data volumesCloud:• Hands-on experience using several AWS cloud services• Optimize cost while using cloud solutionsAPI:• Experienced in the Design & Development of API using Django ORM and Python• Usage of FastAPI & Tox framework for packaging the AI Code

Experience

1. Ai Engineering Mlops Machine Learning Engineer Data Engineer

   JPMorganChase

   Feb 2023 — Present · Bengaluru, IN

   Led the team of four in the AI Engineering/MLOps space and provided comprehensive solutions for each of the projects end to end.Designed & implemented efficient & scalable MLOps Pipelines tailored for complex business needs on a public cloud provider/platform i.e. AWS. Also, helped the Application teams in integrating the solution flawlessly and provided required knowledge transfer sessions to help maintain the Data/MLOps Pipelines.Collaborated with the Data scientists, Application engineers, Product Owners and the stakeholders to deploy ML models & LLMs into Production.This also involves the complete understanding of the ML code, code modularization & optimization, Unit Testing, Functionality Testing, automating model training process, Prompt Engineering, etc.Dealing with HCD (Highly Confidential Data), it was imperative to take necessary measures for Data Security & Data Privacy and meet the compliance which is of utmost importance.Resolved, debugged and troubleshooted issues that related to ML Model & LLM deployment or infrastructure perspectives.

Education

• Sathyabama University

  Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering

  2006 — 2010