About Me

Hi I am Keshav Kumar ,
A ML/AI professional with 5+ Years of experience in building ML/AI products & Data Science as well as scaling them. End to end machine learning practitioner.
Exposure in multiple domains like Healthcare, Life Sciences, Retail and Tech.

Programming Skills

Python

90%

Tensorflow

70%

PyTorch

70%

C++

70%

Secondary Skills

SQL

90%

Flask/FastAPI

90%

GCP

90%

AWS

80%

Azure

70%

AI Engineer, Google Cloud, Bangalore

Apr 2022 — present

• Responsible for Working with customers to create efficient solutions to solve their Problem using Vertex AI services.
• Responsible for mentoring multiple junior engineers in their journey of Machine Learning.
• Worked on distinguished solution building related to MLOps, NL2SQL, Developer Productivity tools, Generative AI and other similar platforms.
• Won Over 12 Peer Bonus and 5 Spot Bonus for work done so far.
• Contributor for research on Hybrid Quantization.

Senior Engineer- Machine Learning, ZS Associates, Bangalore

Jul 2021 — Apr 2022

Build an In-house MLOps platform to reduce data scientist's effort in deploying various Machine Learning models.
• Responsible for creating In-house MLOps Platform for client from ground up to bring down the deploying, monitoring and scaling of models time to less than 15 mins using AWS.
• Responsible for leading the development of sdk & cli package development for facilitating the MLOps platform functionality through Jupyter notebooks and terminal.
• Responsible for code refactoring and buillding of Docker images fro ML/DS use cases to facilitate smooth onboarding on platform.
• Participated in POCs to ensure best practices for ML lifecycle.

Machine Learning Engineer, Cognizant, Bangalore

Apr 2020 — Jul 2021

Domain- Life Science
Used Deep learning models for Natural language processing to help client automate the process of SIG Code generation between pharmacies and physician.
• Design the fundamental ML Model.
• Created end to end pipelines for the process.
• Serving models through Flask and Tensorflow serving.
• Generated docker images.

Data Scientist, Cognizant, Bangalore

Sep 2018 — Mar 2020

Domain: Healthcare & Insurance
Created analytical solutions and leveraged machine learning for multiple use cases related but not limited to:
• Churn modelling
• Reducing impact of disruption
• Improving member engagement and satisfaction
• Improving plan ratings
• Designing customized outreach strategy

Ministry Of Statistics and Programme Implementation, Delhi

May 2017 — Jul 2017

• Intern
Worked at Computer Center. Responsible for calculating and analyzing Monthly per Capita Expenditure(MPCE) for 'Household and Broad Category of Durable Goods'. Generating reports based on the data collected by NSSO to help in creation of budget.

M.Sc. Applied Operational Research, University of Delhi

Aug 2016 — Jun 2018

Completed Masters in Applied Operational Research. Core Subjects in Econometrics, Data mining and Warehousing, Reliability Engineering, Queuing Theory, Inventory Management, Project Scheduling, Quality Control and Marketing Research.

• Course Work : Process Quality Mangement
Calculate the current sigma level for a Chair manufacturing enterprise. Setting benchmarks for the process. Suggesting improvements in the sub-process to achieve Total Quality Control.

B.Sc(H) Mathematics, University of Delhi

Jul 2013 — Jun 2016

Graduated with Honours in Mathematics. With core subjects in Linear Algebra, Real Analysis and Calculus.

• Secretary of RamanuGen Mathematics Society, Ramanujan College.
Promoting a learning and sharing culture of Mathematics. Raising Funds and getting Sponsers for activities.

• Founding Memeber of Quiksort Computer Society, Ramanujan College.
Promoting Open source culture. Organising learning sessions and Programming competitions.