Suman Sourabh

Lead ML Engineer

Bengaluru, Karnataka, India5 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led machine learning initiatives at Credit Saison India.
Developed ETL services, reducing cloud costs by 30%.
Created a static source code analyzer for Android security.

Stackforce AI infers this person is a Machine Learning and Cloud Computing expert in Fintech and Cyber Security.

Contact

suman.sourabh@creditsaison-in.com +919967440124 LinkedIn

Skills

Core Skills

Cloud ComputingMachine LearningData AnalysisFinancial ModelingCyber Security

Other Skills

AWSAWS LambdaAWS SageMakerAirflowAlgorithm DesignAlgorithmsAmazon Web Services (AWS)Analytical SkillsApache AirflowBlu-rayCC++CSSComputer ScienceContainerization

Experience

5 yrs 5 mos

Total Experience

2 yrs 8 mos

Average Tenure

3 yrs 5 mos

Current Experience

Credit saison india

3 roles

Lead Machine Learning Engineer

Promoted

Apr 2025 – Present · 1 yr 2 mos · Hybrid

Senior Machine Learning Engineer

Promoted

Oct 2023 – Apr 2025 · 1 yr 6 mos · Hybrid

Machine Learning Engineer

Jan 2023 – Oct 2023 · 9 mos · Hybrid

Samsung electronics

Software Engineer

Jul 2016 – Jul 2018 · 2 yrs · On-site

Young Achiever of the Year Award, 2016.
Developed, deployed and managed glue based ETL services, to handle Advertisement analytics.
Deployment of predictive model that predicts advertisement based on multiple parameters like content, demographics, etc.
Improved monitoring alerts and metrics to expedite issue identification by 20%.
Developed and maintained cloud cost optimization strategies, resulting in a 30% reduction in cloud costs for my team.

ETL servicescloud cost optimizationpredictive model deploymentmonitoring alertsCloud ComputingMachine Learning

Goldman sachs

Summer Analyst

May 2015 – Jul 2015 · 2 mos · Bengaluru Area, India · On-site

Worked in Fixed Income, Currencies and Commodities team for Asia pacific region.
Developed a fast way to estimate Value at Risk for large portfolios using linear regression.

linear regressionValue at Risk estimationData AnalysisFinancial Modeling

Wegilant

Cyber Security Analyst

May 2014 – Jul 2014 · 2 mos · Mumbai Area, India

Developed Static Source Code Analyser, which analysed Android apps for security vulnerability, for Android Security team.
Hosted the application remotely on AWS, using EC2 and EBS, while deploying analytics using AWS Redshift and AWS DynamoDB.
Implemented vulnerabilities searching algorithm using Java Byte Code Engineering Library (Apache Commons BCELTM).
Modelled and implemented object-oriented PHP website Appvigil.co to ensure abstraction, scalability and easy testing.

Static Source Code AnalysisAWSJava Byte Code EngineeringCyber SecurityCloud Computing