

Results-driven technology leader with 18+ years of IT experience spanning .NET architecture, Data Science, cloud migration, DevOps, and Agile delivery. Proven record managing cross-functional teams of 32+ and delivering enterprise solutions for major banking, insurance, and manufacturing clients across the US, UK, Germany, and Australia. Certified SAFe Agilist with deep expertise in Python-based MLOps pipelines, machine learning model deployment (Scikit-learn, Pandas, NumPy), REST API development, Azure and AWS cloud platforms, microservices architecture, Docker, CI/CD, and stakeholder management. Seeking a senior technical leadership or Data Science PM role to drive engineering excellence and measurable business impact.
KEY ACHIEVEMENTS
• Led cross-functional team of 32+ members across 4 concurrent workstreams at Infosys, delivering all milestones on schedule.
• Architected and delivered 10+ enterprise-grade .NET applications for banking and insurance clients (US, UK, Germany, Australia) at TCS.
• Executed 3+ zero-downtime cloud migrations from legacy .NET monoliths to Azure and AWS.
• Deployed first production ML model (eVA project) using Python, Scikit-learn, and Pandas — covering full MLOps lifecycle from feature engineering to staged UAT/PROD deployment.
• Managed 50+ Agile sprint planning cycles as Scrum Master; introduced retrospectives and velocity tracking that measurably improved on-time delivery.
• Mentored 10+ junior and mid-level developers in ASP.NET Core, REST API design, and DevOps practices, raising team code quality benchmarks.
• Led a cross-functional team of 32 members across 4 concurrent workstreams, delivering all project milestones on schedule per SOW commitments.
• Designed and implemented customized strategic delivery plans for enterprise clients, reducing re-work cycles by streamlining requirement-to-delivery pipelines.
• Facilitated executive stakeholder workshops and sprint reviews, improving decision turnaround time and aligning business and technical teams on product roadmap priorities.
• Managed project budgets, timelines, and vendor coordination across development, QA, and production environments, ensuring consistent KPI attainment.
• Drove CI/CD adoption across the team using Jenkins and GitHub, reducing manual deployment effort and improving release frequency.
• Acted as primary Data Science PM for the eVA ML project — owned end-to-end MLOps pipeline delivery including model versioning, staged deployment, and due-diligence sign-off on all UAT/PROD phases.
• Architected and delivered 10+ enterprise-grade Microsoft .NET applications (ASP.NET Core, REST API, Entity Framework) for banking and insurance clients across the US, UK, Germany, and Australia.
• Led 3+ cloud migration programmes, moving legacy .NET monoliths to Azure and AWS with zero production downtime.
• Designed and optimised SQL Server data pipelines supporting high-volume transactional systems for financial sector clients.
• Served as Scrum Master across 50+ sprint cycles; introduced structured retrospectives and velocity tracking that measurably improved on-time delivery rates.
• Acted as Agile Project Lead and Auditor, identifying process gaps and enforcing SAFe best practices across multi-team delivery programmes.
• Mentored 10+ junior and mid-level developers in ASP.NET Core, REST API design, and DevOps practices.
• Collaborated with cross-functional stakeholders to translate complex business requirements into technical specifications, SOWs, and project estimates.
• Developed ASP.NET web applications and SSRS reports for a US banking client, ensuring full functional compliance and on-time delivery.
• Managed end-to-end deployment to production servers; conducted regression and functionality testing to achieve zero post-release defects.
Served as primary client liaison for technical specification gathering, reducing change request cycles through precise requirement documentation.
• Built scalable full-stack solutions for a US real estate client using ASP.NET MVC, C#, and REST API patterns.
• Designed SQL Server schemas and data management workflows, improving data retrieval efficiency across the platform.
• Conducted peer code reviews enforcing best practices, contributing to a measurable reduction in production bugs.
• Developed ASP.NET web applications using VB.NET, ADO.NET, and web services for enterprise clients.
• Designed Crystal Reports and data validation processes, improving reporting accuracy and reducing manual data errors.
• Deployed applications to production servers and provided post-deployment DevOps support, ensuring system stability.
Leadership
Technical Leadership Project Management Scrum Master SAFe Agile Stakeholder Management KPI Tracking Budget & Timeline Management Vendor Management SOW & Estimation
Languages
Python C# ASPNET Core MVC NET Framework REST API Web API Entity Framework ADONET SQL Server Pandas NumPy Scikit-learn
ML / Data Science
Machine Learning MLOps Feature Engineering Model Versioning Predictive Modelling Data Pipeline Design Scikit-learn Train/Test Split UAT Model Deployment
Cloud & DevOps
Azure AWS Docker Microservices CI/CD Jenkins GitHub GitHub Copilot IIS Veracode Grafana Postman Swagger ServiceNow
Tools & Reporting
JIRA Sprint Planning Crystal Reports Authentication & Authorization Agile Retrospectives Velocity Tracking
Electronic Value Analysis (eVA) — Data Science PM & MLOps Lead| Manufacturing / Vehicle Restructuring | Infosys
Owned end-to-end delivery of a production Machine Learning solution to restructure vehicle value analysis responsible for both the MLOps pipeline and Scrum delivery across the program.
• Designed ML data pipeline: dataset analysis, preprocessing, feature engineering, train/test splitting, and input/output column mapping using Python, Pandas, and NumPy.
• Evaluated multiple Scikit-learn algorithms (regression, ensemble methods) to identify best-fit prediction model; deployed production-ready .sav model files with documented performance metrics.
• Built end-to-end MLOps workflow covering model versioning, output file automation, and staged deployment to UAT and PROD environments.
• Conducted pre/post impact analysis and due-diligence checks on critical UAT/PROD issues, achieving clean sign-off across all deployment phases.
• Facilitated Agile sprint ceremonies (planning, retrospectives, reviews) aligned to SAFe delivery standards throughout the project lifecycle.