Lalit Kolhe

About Lalit Kolhe

Results-driven Analyst with 4+ years of experience in delivering customized, data-driven insights and managing end-to-end HRIS implementations. Adept with creating synergy between business and tech groups—translating requirements into actionable insights, scalable systems, and successful product deployment. Recently completed MS in Information Technology Management at UT Dallas, I provide a broad spectrum of skills in data analytics, cloud infrastructures and project management methodologies. I thrive in high-pressure settings where I can integrate analytical skill, technical skill, and team leadership to impact important business outcomes. At Emsphere Technologies, I led 25+ HRIS implementations, managing the full lifecycle stakeholder alignment and requirement gathering, solution design, customization, and deployment. I implemented HR modules as per client-specific processes, created complex SQL queries, and created real-time dashboards to enable HR analytics and executive reporting. With hands-on experience in project planning, client communication, team coordination, and technical documentation, I delivered timely across cross-functional teams. I have a passion for process gap identification, data storytelling, and cross-functional collaboration to drive measurable business outcomes.

Experience

1. Software Engineer

   Stripe

   Dec 2024 — Present · San Francisco, CA, US

   Engineered scalable microservices using FastAPI, Django, and Flask, improving API performance by 40% and enabling secure high-volume payment transaction processing. Built responsive React.js + TypeScript frontends with Redux Toolkit and Tailwind CSS, enhancing UX and optimizing load times for Stripe’s billing and analytics dashboards. Integrated AI-driven payment risk detection pipelines using Python, Scikit-learn, TensorFlow, and AWS SageMaker, reducing fraudulent transactions by 28% through real-time anomaly scoring. Developed LLM-powered automation tools with OpenAI APIs and LangChain to streamline internal code review and documentation, cutting manual effort by 35%. Created and managed GraphQL and REST APIs for cross-service communication, optimizing query performance and ensuring 99.9% uptime through robust error handling. Automated CI/CD pipelines using GitHub Actions, Docker, and AWS ECS, supporting continuous deployment across multi-environment microservices. Deployed serverless workflows with AWS Lambda, Step Functions, and DynamoDB, achieving cost-efficient scalability and reduced backend latency. Implemented ML data pipelines using Apache Airflow, Pandas, and PostgreSQL for model training, versioning,and feature store management. Containerized ML and web apps using Docker + Kubernetes (EKS), ensuring cross-environment reproducibility and rapid rollbacks. Conducted unit, integration, and end-to-end testing using Pytest (backend APIs), Jest (React components), and Cypress (UI flows), improving code reliability and reducing production bugs by 20%. Collaborated with data science and DevOps teams to build real-time AI analytics dashboards using Streamlit and Plotly, empowering fraud and business teams with actionable insights.

Education

• The University of Texas at Dallas

  Master of Science - MS, Information Science/Studies