LeninKumar Soundararajan Vijaya
Summary
A quick learner and enthusiastic about new challenges and opportunities. Data Science, Data Engineering, Computer Vision Machine Learning Engineering, Dev Ops, AWS, Azure, K8s Full Stack Development 13 + years of IT experience 9 + years of experience in Machine Learning Engineering, Data Science Field 2 + years of experience as Business Consultant in Japan 2 years of experience in Full Stack Development
Overview
14
14
years of professional experience
Work History
AVP, Senior Machine Learning Engineer
MediaCorp PTE Ltd
07.2022 - Current
- Single-Handedly created customized spark and warehouse environment on the Azure platform using opensource frameworks as an alternative to Databricks resulting in potential savings of 170K SGD/month with an annual savings of 2.04 Million SGD.
- Architected best practices on ML Ops pipelines and MLE activities for all the DS projects under CIA (Consumer Insights & Analytics) unit with Mediacorp.
- Reduced REST API latency for model inferencing from 1s to 100ms using best practices on Azure Networking.
- Developed utility functions for automatic logging and tracing for REST API.
- Set the best practices and reproducibility on coding guidelines, deployment, alerting, networking for the applications running on AKS, app services and Databricks.
- Worked as a lead and data architect on PoC for a Gen-AI initiative creating a chat bot for charts and summary generation for the backend data sources.
- As part of the aforementioned custom spark environment’s data governance and observability and Blue / Green / Canary deployment strategies are to be carried out in the upcoming months.
- Served as the Solution Architect and Cost Management Architect for DS, DE and Web projects within the Consumer Insights and Analytics unit at Mediacorp.
- Experience with governance, observability and monitoring solutions on Azure.
- OSS Spark, Hive, Trino, Superset, Jupyterlab, Airflow, Prometheus, Grafana, AKS, Terraform, Terragrunt, Opencost (WIP), Zepplin (WIP), Application Gateway, Traffic Manager, Entra ID, Policies, Alerting
- Airflow, Gitlab CICD, MLFlow, AzureML Featurestore, AzureML Pipelines
- Private Link Services, Private endpoints, AKS
- Flask, Monitor, Application Insights, KQL
- Monitor, Application Insights, KQL, Terraform, Terragrunt, Grafana
- Databricks SQL Warehouse, Vega, Azure OpenAI, Prompt Engineering
- Apache Atlas, Open Lineage, AKS Fleet Manager, Loki, Jaeger
- Azure Monitor Workspace, Policies, Alerting, Dashboarding
Lead Machine Learning Engineer
TIGER Analytics
01.2021 - 07.2022
- ML Engineering, worked on building cloud agnostic framework python codes to be used by data scientists reducing time to develop, time to deploy and time to market.
- Building end to end MLOps solution for a multi-national food retailer across global regions.
- Python, Azure ML, Github Actions
- AWS, Kubernetes, Grafana, Prometheus, Github Actions, Airflow
Senior Machine Learning Engineer
TIGER Analytics
01.2020 - 12.2020
- ML Engineering, worked on building end to end MLOps pipeline for an international retailer using Azure services.
- ML Engineering, building end to end MLOps pipeline after having worked on multiple POCs.
- Azure DevOps, Azure ML, Terraform
- Mlflow, Kubernetes, AWS, Terraform, Jenkins, Loki, Istio, Jaeger, Neptune.ai, Spark on kubernetes, mlrun, kubeflow, TFX, AWS Sagemaker, AWS Batch
Machine Learning Engineer
TIGER Analytics
09.2019 - 12.2019
- ML Engineering, preparing accelerators for the upcoming projects on Time-Series.
- ML Engineering, End-to-End pipeline POCs on AWS-Sagemaker.
- ML Engineering, creating large scale mode deployments using AWS-Batch and Metaflow.
- Prophet / deepAR / deepstate, AWS, Docker, Kubernetes, Terraform, Fabric/Ansible, Jenkins, Airflow, Python, Git, mlflow
- AWS Sagemaker, Debugger, Tracking, Hyper-Param-Tuning, Model-Explaining, Deploying, Batch & Adhoc Inferences, Custom-Models
- AWS Batch, Metaflow
Data Scientist
TIGER Analytics
04.2019 - 08.2019
- Churn Prediction for an American Insurance Client.
- Time-Series demand forecasting for a multi-national food retailer.
- Supply & Demand calculation for an American Senior-Housing company.
- Python, XGB, Tableau, Hypothesis Testing, Hive-SQL, Py-Spark, Airflow, Ansible, Jenkins, Git, mlflow, Gunicorn, Swagger
- Deepstate, AWS, Docker, Kubernetes, Airflow, Python, Git, mlflow
- Python, Docker, AWS, Git, mlflow, Gunicorn, Swagger
Data Scientist / Business Analyst
TATA Consultancy Services
02.2015 - 03.2019
- Exploratory Data Analysis using Tableau and ML model generation for Predicting Customer Churn.
- Building Recommendation Engine on frequently travelled destinations.
- Customer Segmentation for a British Airline for Priority-Booking.
- Distracted Driver Detection using Computer Vision.
- Tableau, SQL, XGB, Python, R, SVN, Py-Spark
- SVD, Collaborative Filtering, Py-Spark, R
- RFM Customer Segmentation, R, Gunicorn, Swagger
- Keras, Docker
Senior Full Stack Web Developer
TATA Consultancy Services
08.2011 - 01.2015
- Worked on various full stack web development technologies
Education
Post Graduate - Big Data and Machine Learning
Great Lakes Institute of Management, Stuart School of Business
09.2018
Bachelor’s Degree - Electrical and Electronics Engineering (B.E., EEE)
PSG College of Technology
04.2011
Skills
- Data Science / AI
- Churn Prediction
- Time Series Forecasting
- NLP
- Computer Vision
- Recommendation Engine
- Encoder Decoder networks
- Hypothesis Testing
- SVD
- RFM Customer Segmentation
- Tableau
- EDA
- Consulting
- AWS Cloud
- Sagemaker
- Debugger
- Tracking
- Hyper-Param Tuning
- Model Explanation
- Model Monitoring
- Custom Models
- Batch-Adhoc Inferences
- Pipelines
- Projects
- Model Registry
- Feature Store
- Custom Dev Environments
- Services
- SSO Setup
- AWS Org
- AWS Batch
- ECS
- EKS
- Code Pipeline with Sagemaker
- Firehose
- S3 Data Lake
- Athena, Glue
- Gateway
- Azure Cloud
- Azure ML
- Datasets
- Auto ML
- Fabric
- Data Factory
- AKS
- Logic App
- Event Hub
- App Services
- Application Gateway
- Front Door
- Entra ID
- MLE / MLOps
- Kubernetes, helm charts
- Airflow, Kubeflow, Metaflow
- Github Actions
- Grafana, Prometheus
- Docker
- Neptuneai, MLFlow
- Trino
- Superset
- Github Actions, Jenkins
- Databricks intermediate
- Kedro
- Mlrun
- Jaeger
- Loki
- Terraform
- Terragrunt
Languages
English
Tamil
Hindi (Read, Write)
Kannada (Spoken)
Japanese (Basic)
Personal Information
- Phone: +65-92718200 (Singapore), +91-9244428950 (India)
- Email: LeninKumar.sv@gmail.com
- LinkedIn: https://www.linkedin.com/in/lenin-kumar-sv
Timeline
AVP, Senior Machine Learning Engineer
MediaCorp PTE Ltd
07.2022 - Current
Lead Machine Learning Engineer
TIGER Analytics
01.2021 - 07.2022
Senior Machine Learning Engineer
TIGER Analytics
01.2020 - 12.2020
Machine Learning Engineer
TIGER Analytics
09.2019 - 12.2019
Data Scientist
TIGER Analytics
04.2019 - 08.2019
Data Scientist / Business Analyst
TATA Consultancy Services
02.2015 - 03.2019
Senior Full Stack Web Developer
TATA Consultancy Services
08.2011 - 01.2015
Bachelor’s Degree - Electrical and Electronics Engineering (B.E., EEE)
PSG College of Technology
Post Graduate - Big Data and Machine Learning
Great Lakes Institute of Management, Stuart School of Business
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