Summary
Overview
Work History
Education
Skills
Timeline
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Anantharaman Janakiraman

Anantharaman Janakiraman

Principal Machine Learning Engineer

Summary

Accomplished Data Science and Machine Learning professional with extensive expertise in data analysis, statistical methods, and classical statistical models. Proven experience in deploying machine learning models on cloud platforms, integrating with on-premise applications, and leading the development of Enterprise Data Science Platforms. Demonstrated proficiency in various areas of data science and machine learning, including supervised and unsupervised learning, deep learning, and generative AI. Strong experience in building enterprise-grade integrations, Agile project management, and effective communication of technical results to business leaders. Proven leadership in managing and guiding data science teams, ensuring successful project delivery and operational excellence.

Overview

21
21
years of professional experience

Work History

Principal Machine Learning Engineer

Expedia Group Inc
08.2022 - Current
  • Led team of Senior Engineers and Data Scientists to deploy high impact ML models that had significant impact on conversion rate for bookings and increased traffic on platform
  • Architected and created enterprise wide no-code Generative AI framework for creating, testing, evaluating and deploying chat agents for various tasks with full enterprise integration for quick deployment.
  • Re-engineered high impact metasearch bidding ML pipelines from legacy tech stack to next generation tech stack that helped eliminate dependency on in-house orchestration frameworks and tooling ultimately reducing maintenance cost and improved productivity.
  • Served as SME and integrated Model monitoring tooling for several ML models in Expedia and helped data science teams detect and resolve post implementation issues effectively
  • Serving as lead domain focal and working with multiple platform teams in creating the next generation ML platform architecture
  • Performing hands on along with team of senior engineers and helping teams optimize mission critical implementation pipelines and resolve issues that have direct impact on revenue and conversion rates
  • Organized content for ML boot camp for onboarding new engineers on team and also mentoring/guiding engineers at all levels on various implementations.
  • Working and helping engineers and data scientists contribute towards engineering blogs both internally and externally.
  • Helping shape coding methodologies and best practices and advocate for adoption of new platform technologies.
  • Following industry trends in ML Engineering and Data Science and can make practical recommendations
  • Identifying areas for improvement and develop innovative enhancements using available software development tools following design requirements of customer.
  • Facilitated knowledge transfer sessions among team members on specialized topics such as deep learning architectures and natural language processing techniques, fostering collaborative learning environment

Principal Machine Learning and MLOps Engineer

American Family Insurance – ML Research Group
03.2022 - 08.2022
  • Worked embedded into machine learning research teams that were working on cutting edge research and developed business significant AI solutions for Insurance problems.
  • Led the architecture of machine learning pipelines for the teams above.
  • Defined and spread the best MLOps practices of automation, monitoring, scale and safety.
  • Led and mentored a team of junior ML engineers, Platform engineers and collaborated with Data Scientists
  • Architected a unified MLOps methodology that ML teams followed to be highly productive and delivered safe AI solutions.
  • Company-wide representative for the MLOps strategy.
  • Involved in some of the machine learning experimentation efforts with the machine learning teams to accelerate proof-of-concept and move to implementation phase
  • Helped migrate ML assets from AWS to Google Cloud for a document intelligence use case

Senior Manager, Machine Learning and Operations

Cisco Systems
06.2021 - 03.2022
  • Managed ML operations activities for Cisco's central Advanced Analytics organization and led a team of ML engineers & ML platform engineers to help data scientists quickly and efficiently realize value from their models.
  • Created and fully operationalized a futuristic end-to-end MLOps framework on Cloud (Google Cloud) for the Enterprise AI organization and extending adoption to other teams outside the Enterprise AI organization
  • Guided the team and performed technical hands-on work in architecting, developing, deploying, monitoring machine learning/deep learning models on Google Cloud Platform and centrally managed the datascience infrastructure and tooling.
  • Have worked closely with the datascience teams to experiment different machine learning algorithms and ensured they met business requirement without compromising technical performance.
  • Have successfully operationalized mission critical datascience deployments and ensured the implementation were fully automated aligning with the deployment patterns & established best practices.
  • Key driver of Cisco's AI Everywhere strategy, working with data science leaders and teams across Cisco to accelerate data science impact.
  • Supporting deployment efforts of other teams, establishing a common set of capabilities across the enterprise, promoting standards and best practices, and leading efforts to maximize code sharing and re-use.

Machine Learning Engineering Lead

Levi Strauss & Company
10.2020 - 05.2021
  • Architect, build, maintain, research and improve new and existing suite of ML algorithms and their underlying systems.
  • Implemented end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing and A/B testing
  • Worked closely with data scientists and analysts to create and deploy new product features on the ecommerce website, in-store portals and the Levi's mobile app
  • Established scalable, efficient, automated processes for data analyses, model development, validation and implementation
  • Wrote efficient and well-organized software to ship products in an iterative, continual-release environment
  • Contributed to and promote good software engineering practices across the team
  • Mentored and educated team members to adopt best practices in writing and maintaining production machine learning code.
  • Operationalized several models for Virtual Inventory Reservation business function both on Google Cloud and AWS. Played a key role in migrating ML assets from AWS to GCP as part of Enterprise Data Ocean initiative
  • Operationalized a Kubernetes based shareable data science platform on AWS for the data science & engineering teams and set up the “Image Center of Excellence” for the benefit of data science implementations.

Lead ML Engineer and Senior ML Architect

CNA Financial Corporation
08.2015 - 10.2020
  • Worked with Actuarial Analytics to implement, research machine learning algorithms for different problem setting and operationalize machine learning models (R and Python) on Google Cloud platform for various insurance business areas.
  • Played key role as Lead ML Engineer in the ideation, technical development and operationalization of Enterprise Data Science Platform.
  • As Lead ML Engineer leading a team of Data Scientists, Application Engineers and Functional Business Analysts in the implementation & operationalization of Machine Learning model on Cloud.
  • As a Data Science Engineer worked on a template-based information extraction model to turn unstructured information embedded in emails into structured data using various NLP tools and techniques.
  • Researched and evaluated new, alternative solutions to accelerate data pre- processing including text mining, model training, evaluation and prediction.
  • Developed data scrubbing and curation strategies, data persistence strategies for model monitoring and tuning, integration strategies to integrate model with cloud & on-premise data sources.
  • Worked with members of project team to strategize development of data pipeline for migrating data from on premise systems to cloud data sources and to application layers for model consumption.
  • Worked with project team to develop and implement continuous delivery/ continuous integration (CI/CD) pipelines to deploy application components in pre-production and production environments.
  • Created R packages and other tools to accelerate data analysis for different business units in predictive model and pricing process implementations.

Lead Consultant (Consultant to CNA Financial)

Capgemini FSGBU
05.2012 - 08.2015

Senior Technical Lead/Senior Application Developer

Atos Syntel Inc
07.2004 - 05.2012

Information Security Analyst

Electronic Data Systems Inc
09.2003 - 07.2004

Education

Master of Science - Data Science

Indiana University - Bloomington
Bloomington, IN
04.2001 -

Master of Science - Computer Science With Data Science Specialization

University of Illinois At Urbana-Champaign
Champaign, IL
04.2001 -

Bachelor of Engineering - Computer Science And Engineering

Bharathidasan University
Tiruchirappalli
04.2001 -

Skills

Data Science

Machine Learning

MLOps

Machine Learning Engineering

Neural Networks

Decision trees

Algorithm development

Data Mining

Unsupervised Learning

Semi-Supervised Learning

Feature Engineering

Machine Learning Integration

Statistical modeling

Big Data Analytics

AWS

GCP

Python for Data Science

R for Data Science

Spark

ML Libraries

MLOps Tooling

Distributed Computing

SCM tooling

CI/CD tooling

Timeline

Principal Machine Learning Engineer

Expedia Group Inc
08.2022 - Current

Principal Machine Learning and MLOps Engineer

American Family Insurance – ML Research Group
03.2022 - 08.2022

Senior Manager, Machine Learning and Operations

Cisco Systems
06.2021 - 03.2022

Machine Learning Engineering Lead

Levi Strauss & Company
10.2020 - 05.2021

Lead ML Engineer and Senior ML Architect

CNA Financial Corporation
08.2015 - 10.2020

Lead Consultant (Consultant to CNA Financial)

Capgemini FSGBU
05.2012 - 08.2015

Senior Technical Lead/Senior Application Developer

Atos Syntel Inc
07.2004 - 05.2012

Information Security Analyst

Electronic Data Systems Inc
09.2003 - 07.2004

Master of Science - Data Science

Indiana University - Bloomington
04.2001 -

Master of Science - Computer Science With Data Science Specialization

University of Illinois At Urbana-Champaign
04.2001 -

Bachelor of Engineering - Computer Science And Engineering

Bharathidasan University
04.2001 -

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Anantharaman JanakiramanPrincipal Machine Learning Engineer