I am a results-driven Full Stack Engineer with 5 years of experience designing, developing, and deploying scalable web and AI-powered applications across cloud environments. I specialize in building robust backend systems using Python, FastAPI, and Node.js, while delivering dynamic, user-focused interfaces with React and TypeScript. I also leverage AI frameworks like LangChain, CrewAI, and MCP Server to enable intelligent automation and smarter decision-making. Throughout my career, I've built financial-grade platforms, migrated complex codebases, and delivered secure, cloud-native solutions on AWS and Kubernetes. I value collaboration, code quality, accessibility, and measurable impact, and I thrive in fast-paced teams delivering high-velocity software with measurable improvements.

Mrunal Anant Kakirwar

I am a results-driven Full Stack Engineer with 5 years of experience designing, developing, and deploying scalable web and AI-powered applications across cloud environments. I specialize in building robust backend systems using Python, FastAPI, and Node.js, while delivering dynamic, user-focused interfaces with React and TypeScript. I also leverage AI frameworks like LangChain, CrewAI, and MCP Server to enable intelligent automation and smarter decision-making. Throughout my career, I've built financial-grade platforms, migrated complex codebases, and delivered secure, cloud-native solutions on AWS and Kubernetes. I value collaboration, code quality, accessibility, and measurable impact, and I thrive in fast-paced teams delivering high-velocity software with measurable improvements.

Available to hire

I am a results-driven Full Stack Engineer with 5 years of experience designing, developing, and deploying scalable web and AI-powered applications across cloud environments. I specialize in building robust backend systems using Python, FastAPI, and Node.js, while delivering dynamic, user-focused interfaces with React and TypeScript. I also leverage AI frameworks like LangChain, CrewAI, and MCP Server to enable intelligent automation and smarter decision-making.

Throughout my career, I’ve built financial-grade platforms, migrated complex codebases, and delivered secure, cloud-native solutions on AWS and Kubernetes. I value collaboration, code quality, accessibility, and measurable impact, and I thrive in fast-paced teams delivering high-velocity software with measurable improvements.

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Experience Level

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Work Experience

Full Stack Engineer at Fuel AI
August 1, 2025 - Present
Built multi-agent AI systems using CrewAI and Google Vertex AI for hierarchical orchestration in financial workflows, enabling real-time query resolution and reducing manual intervention by 60%. Developed GenAI-driven full-stack apps with React frontend and Python/FastAPI backend, integrating RAG pipelines over vector databases for low-latency financial insights, achieving sub-second response times. Automated financial code migrations using agentic LLM workflows (Java/Spring Boot upgrades), including semantic translation and error remediation, saving ~30 developer hours per microservice and cutting costs. Engineered AI productivity dashboards aggregating metrics from Jira/GitHub/CI/CD, enabling LLm-driven insights and replacing expensive third-party tools. Implemented secure AI integrations with AWS Lambda/Kubernetes, using MCP plug-and-play agents to scale financial decision-making throughput by 5x.
Full Stack Engineer at Piper Sandler
November 1, 2024 - May 1, 2025
Architected scalable financial microservices with React frontend and Python (FastAPI/Flask) backend, deployed on AWS EKS/Docker for 99.9% uptime in trading and portfolio management systems. Optimized backend performance by 30-40% using Python scripting for GraphQL batching, Redis caching, and API optimizations, reducing response times to 50ms for high-volume financial data processing. Designed accessible UI from Figma mockups, implementing WCAG-compliant components serving 5,000+ users. Built secure file upload systems with S3 pre-signed URLs and JWT authentication, cutting upload latency by 42%. Established automated CI/CD pipelines with AWS CodePipeline and GitHub Actions, maintaining high test coverage with Mocha, Cypress, and Postman.
Software Engineer at HSBC Technology
September 1, 2020 - December 1, 2023
Engineered production enhancements for HSBC internal payment intelligence dashboards using React.js, Redux, and Chart.js, enabling real-time financial insights and smoother navigation for 20,000+ internal users. Developed RESTful APIs with Node.js/Swagger for scalable banking apps, ensuring security/compliance in financial adjustments. Refactored legacy payment modules into distributed microservices built on Spring Boot, containerized with Docker, and deployed on AWS ECS Fargate, resulting in a 40% faster deployment cycle and significant operational cost reductions. Developed and deployed scalable software systems integrating optimized ML models (XGBoost/Scikit-learn) across 100+ servers for financial risk assessment, boosting inference speed and scalability by 40%. Implemented event-driven backend workflows using AWS Lambda, API Gateway, and Step Functions, allowing thousands of platform operations to execute seamlessly with extremely low latency and improved automation reliability. S

Education

Masters of Science in Computer Science at California State University, USA
January 11, 2030 - May 1, 2025

Qualifications

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Industry Experience

Software & Internet, Financial Services, Professional Services