Experience

Impact-focused roles with measurable outcomes, tools, and responsibilities.

Application System Programmer III
Florida Highway Safety and Motor Vehicles (FLHSMV)Florida, USA
Jul 2025 – Dec 2025
  • Designed and maintained enterprise applications using C#, ASP.NET MVC, and SQL to support mission‑critical operations with reliable performance and scalability.
  • Optimized workflows across Oracle Fusion, EBS, and PeopleSoft by building SQL/PL‑SQL reports, automating data processes, and integrating HR/payroll/financial systems.
  • Managed end‑to‑end SDLC (requirements → design → build → test → deploy → support) across Dev/QA/UAT/Prod environments.
  • Developed and tuned complex SQL Server and Oracle queries, stored procedures, and batch jobs to improve performance and data accuracy.
  • Administered and customized ServiceNow workflows; leveraged Orion for monitoring and performance optimization.
  • Strengthened security/governance (access control, data protection, backup & recovery) and provided Tier 2/3 support for critical app/database issues.
C#ASP.NET MVCSQL ServerOraclePL/SQLSSMSOracle SQL DeveloperServiceNowPostmanOrionAgile/Scrum
Team Lead
SNTIMNT.AIFlorida, USA
Jan 2025 – Apr 2025
  • Led a team of 5 to deliver a real‑time crypto trading app in Python, combining sentiment analysis + REST APIs for live automation.
  • Reduced data latency by ~70% through execution optimizations and tighter pipeline orchestration.
  • Fine‑tuned BERT on AWS EC2 and deployed via SageMaker; reduced model deployment time from ~8 hours to ~2 hours.
  • Managed AWS hosting (Amplify + Route 53) for a fast, mobile‑responsive SPA.
  • Implemented CI/CD practices for retraining and deployment; enforced code reviews, documentation, and test cases for production readiness.
PythonREST APIsBERTAWS EC2SageMakerAmplifyRoute 53GitHubCI/CDJavaScript
Data Engineer (Associate II)
Capgemini Technology ServicesIndia / Client Projects
Jul 2020 – Jul 2023
  • Built and optimized SSIS, SQL Server, and Python data pipelines; reduced data latency by 40%+ and improved throughput.
  • Delivered analytics using SQL/Python (dashboards, forecasting, and insights) to support business decisions.
  • Developed and tuned ML models (regression, random forests, NLP with TensorFlow); improved accuracy up to ~30% on key tasks.
  • Created .NET dashboards and REST APIs integrated with SQL Server for real‑time, data‑driven visualizations.
  • Automated recurring workflows using Python and LangChain; improved operational efficiency by ~60% and reduced production issues.
  • Improved DevOps pipelines (Git, Jenkins, Docker), reducing deployment time by ~40% and increasing release consistency.
  • Performed manual/automated testing (Selenium, Postman, PyTest) to validate pipelines, APIs, ML outputs, and releases.
  • Provided Tier 2/3 support for Windows servers, SQL Server patching, and Active Directory; maintained 99.9% uptime.
  • Received an Excellence Award for high‑impact performance and delivery.
SQL ServerSSISPythonTensorFlowLangChain.NETREST APIsJenkinsDockerGitSeleniumPostmanPyTestWindows ServerActive Directory
Data Analyst Intern
Geneobits Pvt. Ltd.India
Jan 2020 – Jun 2020
  • Worked with large datasets: cleaning, validation, and transformation to ensure data integrity and consistency.
  • Used Python (Pandas, NumPy) and statistical tooling to analyze trends and generate insights for stakeholders.
  • Improved internal reporting accuracy and supported process optimization through data-driven analysis.
PythonPandasNumPyData CleaningStatisticsReporting