Sarvesh Kumar

VP of Engineering

Bangalore Urban, Karnataka, India17 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Over 18 years of experience in data engineering.
  • Led teams to drive innovation in data solutions.
  • Achieved 10% annual revenue growth through automation.
Stackforce AI infers this person is a seasoned data engineering and financial risk expert in the Fintech industry.

Contact

Skills

Core Skills

Data EngineeringCredit Risk ManagementAi/mlData DeliveryProduct OwnershipTeam Management

Other Skills

AI/ML model deploymentAWSAWS LambdaAWS SageMakerAbinitio AdministrationAdministrationAdvanced SQLAgile MethodologiesAmazon Web Services (AWS)AnalysisAnalytical SkillsAppDynamicsApplication Performance ManagementBuild ManagementCampaign Management

About

Sarvesh Kumar is a seasoned data engineering and financial risk professional with over 18 years of experience in banking and consulting, specializing in data product delivery, credit risk model implementation, and GenAI tooling. The career trajectory reflects leadership in managing cross-functional teams and driving innovation in data solutions aligned with business goals. • Extensive leadership in data engineering: Leads teams comprising principal data engineers, MLOps engineers, and solution architects to deliver strategic data solutions supporting operational excellence at Commonwealth Bank of Australia. • Expertise in AWS Sagemaker and model deployment: Manages R/Python model development, retraining, deployment, and monitoring using AWS SageMaker for real-time credit risk models. • Product strategy and revenue growth: Oversees data product roadmaps, stakeholder engagement, and has driven a 10% annual revenue increase through automation and process improvements. • Experience in GenAI and team building: Developed proof of concept for customer experience transformation using Gen AI/LLM models and established a 30+ member team from scratch. • Previous roles in banking and consulting: Held positions such as Assistant Vice President at Barclays Bank, focusing on data provisioning, credit risk model implementation, and business intelligence development. • Consulting and solution architecture: Served as Solution Architect at Ernst & Young, managing large teams and implementing analytics projects for government sectors, emphasizing agile practices and quality assurance. • Technical skills in SAS and big data: Extensive experience in SAS programming, data migration, SAS DI jobs, and building scalable data solutions for banking products across multiple geographies. • Certifications and education: Holds a Bachelor of Technology in Information Technology and multiple professional certifications including SAS Base Programmer, Oracle Certified Associate, AWS AI Practitioner, and Certified Blockchain Expert.

Experience

Commonwealth bank

3 roles

Vice President - Senior Engineering Manager ( Financial Risk & Model Implementation)

May 2024Present · 1 yr 10 mos · Bangalore Urban, Karnataka, India

  • For Generative Al - I have worked on Gen AI tooling and POC extensively for
  • given tooling Amazon CodeWhisperer: ML-powered Code Generation, Amazon
  • Kendra: Enterprise Search and Question Answering, Amazon Quicksight Q:
  • Natural Language Search for Business Intelligence, Amazon Personalize:
  • Personalized Recommendation, Amazon Forecast: Forecasting, Amazon
  • Lookout for Metrics: Anomaly Detection, Amazon DevOps Guru: Al for DevOps.
  • As an Engineering senior manager, I lead a team of Principal data engineer, senior
  • data engineers, MLOPs Engineer, Technical Business analyst, Model Developer
  • and Solution Architect to deliver data solutions that support the bank's strategic
  • objectives and operational excellence.
  • Managing the team who are involved in R/Python model development, (re)training,
  • model deployment and monitoring using SageMaker
  • Responsible for managing data engineering product roadmap, prioritizing the data
  • engineering backlog, engaging with stakeholders, and ensuring data quality and
  • compliance.
  • Develop transformative customer experience using best in class Gen AI / LLM
  • models from Azure/OpenAI and AWS
  • Setup a team of 40+ from scratch from various technology stack.
  • Analyzed revenue and increased the revenue 10% on annual basis through automation
  • and process improvement.
  • Identify solutions to improve current processes based on various industry standard
  • practice and prior experience with Data handling process.
  • Provide training to team on existing features, standards, new requirements and
  • changes.
  • Apply analytical and product management skills, including a thorough understanding of
  • how to interpret customer business needs and translate them into application and
  • operational requirements.
Data ManagementMLOpsCredit Risk ManagementAgile MethodologiesAWS SageMakerAmazon Web Services (AWS)+2

Vice President - Senior Product Owner ( Data Delivery)

Jul 2022May 2024 · 1 yr 10 mos · Bangalore Urban, Karnataka, India

  • Specialities: End to End product ownership for data product, Data Delivery, Product Roadmap design, Data Architecture, Data Engineering, Stakeholder Management, Agile Methodology, DevOps, Delivery Management, Product review, Process Simplification, Agility Coach, Mentoring , Cloud, Data Strategy, Creation of Data Asset, Data Platform, Migration from Hadoop to Snowflake.
Python 3.6Machine LearningAWS LambdaAmazon Web Services (AWS)Data WarehousingAgile Methodologies+15

Vice President - Senior Engineering Manager (Data Engineering)

Feb 2021Jul 2022 · 1 yr 5 mos · Bangalore Urban, Karnataka, India

  • Specialities: People Management, Stakeholder management,Data Engineering, Data Modeling,Data Ingestion, Data Lake, Data Management,Data Integration, Data Delivery, Data Innovation, Data Control, Data Provisioning, Data Strategy, Data Analytics , DevSecOps, Data Operations and AI/ML model deployment, IT Service Management, Platform Risk Mitigation, Platform Vulnerability Management, Configuration change management, Application Performance Management, Server Management, SAS Administration, Abinitio Administration, System performance Management ,Platform Delivery Management, Server Adminstration, SAS patch Management, Solution Architect, DevOps Adoption, Build Management and System Analytics.
People ManagementStakeholder managementData EngineeringData ModelingData IngestionData Lake+28

Barclays investment bank

Assistant Vice President - Credit Risk Model Implementation

Nov 2018Feb 2021 · 2 yrs 3 mos · Noida Area, India

  • 1- Worked for Risk analytics and performing Risk model implementation and development using given tools and languages like SAS, Python and end to end automation using DevOps
  • 2- Experience in Git SCM with different flavour like Bitbucket, Gitlab and Github
  • 3- Experience in TeamCity Continueous integration tool
  • 4- Experience in Jira, Nexus tool, Sonarqube
  • 5- Experience in Java Script, html
  • 6- 13 years + experience in SAS Base,SAS DI ,SAS Advance,SAS data flux,SAS VA ,SMC and Unix
  • 7- Creation of POC and consulting for Cloud architecture(AWS,Azure)
  • 8- Expertise in DevOps tools like Jira,Git,Bitbucket,Team city,Jenkins,Nexus,Ansible,Puppet,Docker and kubernets.
  • 9- Cloud Services( AWS EC2,AWS ECK,AWS Dyanmodb,AWS Lamda,AWS Redshift,AWS opswork,AWS Cloud migration,AWS solution Architect)
  • 10- SAS Platform Administration
  • 11- Good business exposure to SME Capital and IFRS9

Ey

Solution Architect - SAS Fraud Framework

Dec 2016Nov 2018 · 1 yr 11 mos · Gurugram, Haryana, India

  •  Part of Implementation of Analytics-CoE for Government of Rajasthan for DOIT, Government of Rajasthan
  •  Enterprise Intelligence & Analytics (EI&A) Lead for Implementation of Analytics project in government sector for Excise/CTD/IGRS/Mining department.
  •  To identify the revenue leakages, Compliance and Process Optimization.
  •  Use of statistical techniques to propose amendment to the existing policy for example reissuing of licenses based on the performance evolution against forecasted sales.
  •  Interaction with client on regular basis to map the client requirements in terms of feasible work which includes identifying KPI, and providing client feedback to the developers to implement those.
  •  Analysis various scenarios and realizing opportunities to apply analytical solution in real world. Presenting the outcome of the analytical methodologies in simple and lucid language which could be understand and implemented by the client easily.
  • Solutioning and consulting for cloud services(Azure,AWS)

Qinfo consulting (pty) ltd

Senior Consultant - SAS Development

Oct 2015Sep 2016 · 11 mos · Johannesburg Area, South Africa

  •  Part of D2(Dynamic Decision) vertical which use data science methodologies to invent client solutions
  •  Working for African Market to enhance the existing SAS code in SAS DI 4.9
  •  Migrate the need based SAS code to a SAS DI for various areas like direct analytics, FRM division
  •  Responsible for eliciting business/system requirements & providing the customers with best solutions involving evaluation & definition of scope and finalization of project requirement.
  •  Involved in over sight of large amount of daily banking transactional data by developing in-house macro programmes that validated the data different levels while handled pre-planned Analyses, BAU Reports as well as Ad-hoc Analyses Requests
  •  Spearheading resource allocations and deployment of the communication channels across the various horizons of the organization structure.
  •  Conducting review meetings to monitor progress of the project as per schedule/budgets, ensuring timely completion and delivery of project to the client.
  •  Performing daily team administration routines as well as team development and people management activities to improve team productivities.

L&t infotech

Senior Software Engineer - SAS Development

May 2011Oct 2015 · 4 yrs 5 mos · Johannesburg Area, South Africa

  •  Lead a team of 7 resources in a couple of business analytics solution development projects for international clients engaged in cross-selling & up-selling models
  •  Managed to lead the team of analysts to provide information & analysis to support their business decisions across their product portfolio.
  •  Responsible to Requirement Scoping, Data Analysis, Decision Science Support, Management Reporting & Strategic Research while interacted closely with the client to understand the business & data requirements.
  •  Involved in import of data to SAS datasets, understanding of the data, application of cleansing rules & validation rules and performed all data-mining tasks.
  •  Spearheaded generation of valuable insights from the data by segmenting and profiling the sample and then providing actionable recommendations having high business impact.
  •  Supported deployment of a Center of Excellence by working closely with Africa/UK based leading retail bank and used Univariate Analysis and Bivariate Analysis to find target segments from the population
  •  Conducted pre-planned analyses prepared BAU as well as Ad-hoc Analyses Requests along with development of a Regression Linear Model to arrest the attrition of customers.
  •  Performed daily team administration routines as well as team development and people management activities to improve team productivities.

Accenture technology solutions

Software Engineer - SAS Development & Data Integration

May 2010Oct 2010 · 5 mos · Mumbai, Maharashtra, India

  •  Managed a team of 4 resources for development & support of SAS Programs in terms of development of codes to extract, clean & validated (ETL) data from tables.
  •  Responsible to implement various logics involved behind data loading, client reporting and data manipulations using SAS 9.1 programming language and SQL queries.
  •  Involved in analysis of the client requirements, drafting of SDLC approach to resolve issues as well as supported Production Environment (failures in job streams and defects).
  •  Spearheaded execution of workflow and Defect Management with Ongoing Delivery Group (ODG). Analysing the cause of the defect, identifying the best solution, implementing it and testing to confirm results.
  •  Provided execution of testing of the code, which included Unit & Integration Testing and Regression Testing.
  •  Performed daily team administration routines as well as team development and people management activities to improve team productivities.

Tata consultancy services

Assistant Systems Engineer - SAS Development

Sep 2007May 2010 · 2 yrs 8 mos · Noida Area, India

  •  Working with a team of about 20 members as a reviewer.
  •  The major role is to create and debug reusable complex macro, SAS datasets required for the various banking product, generate SAS Reports By analyzing the BRD Thorough the knowledge of Base and advanced SAS concepts likes complex macros, Proc SQL ,graph concepts and statistical proc like logistic regression, Repeated Measure, fisher exact test etc..

Education

Dr. A.P.J. Abdul Kalam Technical University

B.Tech — Information Technology

Jan 2003Jan 2007

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