Mandar Patil

• Designed and implemented scalable FastAPI microservices with async processing. Built highly optimized REST & GraphQL APIs for enterprise AI applications. • Architected LLM-driven solutions using LangChain, LangGraph, and custom agent workflows. Developed RAG pipelines with embeddings, vector databases, and hybrid search. • Integrated Azure OpenAI, Hugging Face, and OpenAI APIs to support multi-model inference. Designed containerized AI microservices using Docker & Kubernetes for scalable deployments. • Implemented rate-limiting, caching, tokenization, and other API performance improvements. Managed end-to-end CI/CD pipelines using GitHub Actions and GitLab CI. • Built event-driven services using Kafka/SQS/EventBridge. Implemented Monte Carlo simulation frameworks for model evaluation and uncertainty analysis. • Developed multi-tenant architecture with secure user isolation and auth layers. Implemented feature flagging and versioned API releases for controlled rollouts. • Integrated Cosmos DB and Azure Functions for highly scalable serverless workflows. Designed internal SDKs and reusable Python libraries for engineering teams. • Conducted code reviews, mentored junior devs, and enforced engineering best practices. Improved API latency by 40% through async optimization and query tuning. • Enhanced observability using OpenTelemetry, Prometheus, and Grafana dashboards. Worked directly with CTO to define architecture and technical roadmap. • Performed security hardening, secrets management, and encryption compliance. Led estimation, sprint planning, and delivery for AI-related solutions.

• Built 5 large-scale applications including rent payment, leasing, and financial dashboards. Developed a $30M+ PayFac system, integrating Fiserv and multiple payment gateways. • Designed secure bank/income verification systems using Truv APIs. Engineered AI-powered live chat agents to automate customer queries. • Built modular Django microservices for payments, verification, and document workflows. Designed and executed ETL pipelines using Pandas, Snowflake, and Airflow. • Created forecasting dashboards for revenue, credit score segmentation, and trends. Automated reporting workflows reducing manual hours by 60%. • Deployed serverless architectures using Lambda, S3, SQS, and EventBridge. Refactored legacy modules improving performance by 40–50%. • Implemented JWT auth, OAuth, and role-based access control. Integrated third-party payment APIs, ACH, card processing, and billing systems. • Collaborated with compliance and audit teams for financial data security. Improved query performance by optimizing SQL schemas and stored procedures. • Managed cross-team communication with UI/UX, DevOps, and business teams. Built reusable UI components using TypeScript and Bootstrap. • Implemented Docker-based builds for consistent deployments. Mentored new Python and Django developers. Troubleshot production issues ensuring high availability and low-latency performance.

• Led migration of legacy Flash applications to modern Angular 10 web apps. Developed secure backend Python APIs to support resource management workflows. • Architected cloud-native deployment pipelines using Azure DevOps & Docker. Implemented CI/CD pipelines with automated testing and versioning. • Optimized API performance and reduced request latency across key endpoints. Ensured WCAG accessibility compliance for enterprise UI modules. • Integrated REST APIs with Angular services for seamless UI interaction. Developed reusable Angular components and UI modules. • Performed code reviews and enforced best practices for front-end and backend teams. Improved security by implementing token-based auth and secure API gateways. • Refactored existing Python services to improve maintainability. Worked with product and UX teams to define UI workflows. • Troubleshot production issues and improved system stability. Automated deployments using Docker and Azure Container Instances. • Implemented logging and monitoring dashboards in Azure Monitor. Coordinated Agile ceremonies including sprint planning and retrospectives. • Converted complex business rules into scalable backend logic. Integrated Azure Functions for event-driven processing. • Improved code modularity using TypeScript best practices. Enhanced front-end performance using caching, memorization, and optimization tools.

• Developed trading platforms used by 40,000+ financial advisors. Built real-time trading ticket systems with validation and error reduction. • Designed dashboards showing daily trade summaries and advisor insights. Implemented Angular UI modules with reusable components and services. • Migrated AngularJS codebase to Angular 10 for modernization. Developed Python-based backend modules for data processing. • Ensured cross-browser compatibility and responsive UI design. Created complex SQL queries for trade analytics and reporting. • Improved system reliability ensuring 99% uptime for trading workflows. Participated in sprint ceremonies, backlog refinement, and stand-ups. • Handled production issues and provided L3 support for trading platforms. Integrated C# backend APIs with Angular front-end modules. • Created performance dashboards for leadership teams. Enhanced security for login, authentication, and session management. • Automated testing using Jasmine/Karma for UI. Improved client-side caching and reduced load time by 30%. • Integrated AWS services for backend automation. • Documented technical designs and workflows in Confluence. Coordinated deployments with DevOps and QA teams. Delivered multiple large UI modules independently.