I'm a Full Stack Python Developer with 4+ years of experience building scalable, high-performance web applications using Python (Django, FastAPI, Flask), React, JavaScript/TypeScript, REST/GraphQL APIs, PostgreSQL, and cloud-native technologies (AWS, Docker, Kubernetes). I focus on writing clean code with a test-driven approach to deliver reliable software on time. I enjoy collaborating in Agile teams to solve complex finance and enterprise problems. I have delivered end-to-end solutions with microservices, CI/CD pipelines, and real-time features, reducing latency and deployment time. I also built AI-enabled features such as a conversational AI with RAG (OpenAI/Gemini) to provide fast, compliant insights for risk and compliance teams, and created interactive dashboards for real-time financial insights.

Chandra Dondeti

I'm a Full Stack Python Developer with 4+ years of experience building scalable, high-performance web applications using Python (Django, FastAPI, Flask), React, JavaScript/TypeScript, REST/GraphQL APIs, PostgreSQL, and cloud-native technologies (AWS, Docker, Kubernetes). I focus on writing clean code with a test-driven approach to deliver reliable software on time. I enjoy collaborating in Agile teams to solve complex finance and enterprise problems. I have delivered end-to-end solutions with microservices, CI/CD pipelines, and real-time features, reducing latency and deployment time. I also built AI-enabled features such as a conversational AI with RAG (OpenAI/Gemini) to provide fast, compliant insights for risk and compliance teams, and created interactive dashboards for real-time financial insights.

Available to hire

I’m a Full Stack Python Developer with 4+ years of experience building scalable, high-performance web applications using Python (Django, FastAPI, Flask), React, JavaScript/TypeScript, REST/GraphQL APIs, PostgreSQL, and cloud-native technologies (AWS, Docker, Kubernetes). I focus on writing clean code with a test-driven approach to deliver reliable software on time. I enjoy collaborating in Agile teams to solve complex finance and enterprise problems.

I have delivered end-to-end solutions with microservices, CI/CD pipelines, and real-time features, reducing latency and deployment time. I also built AI-enabled features such as a conversational AI with RAG (OpenAI/Gemini) to provide fast, compliant insights for risk and compliance teams, and created interactive dashboards for real-time financial insights.

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Experience Level

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Work Experience

Full Stack Developer at Berkshire Hathaway
July 1, 2025 - Present
Developed and maintained high-traffic financial web applications using Python (FastAPI) and React; integrated REST/GraphQL APIs with PostgreSQL, reducing API latency 45% for real-time portfolio tracking. Implemented microservices architecture with Docker and Kubernetes on AWS ECS; enabled zero-downtime deployments and improved scalability for peak trading volumes. Engineered Python conversational AI with RAG (OpenAI/Gemini) for internal insurance and regulatory knowledge, delivering fast, compliant insights to risk/compliance teams and driving measurable cost savings. Designed interactive dashboards with React and Redux for real-time financial insights and increased user engagement. Integrated event-driven messaging with Kafka for asynchronous processing and improved fault tolerance.
Software Engineer at Citizens Bank
September 1, 2023 - June 1, 2025
Engineered full-stack banking features using Python (Django) and React; developed secure transaction processing and account management modules, improving user satisfaction 30%. Streamlined payment architecture with UI consolidation and concurrent API execution, achieving 6x faster checkout by eliminating sequential dependencies and redundant network calls. Built RESTful APIs and integrated third-party services (payment gateways, credit scoring); redesigned API architecture using asyncio with aiohttp to reduce average API response time from 3-5s to 400-800ms. Orchestrated multi-environment CI/CD pipelines using Jenkins with Docker containerization, deploying applications to AWS ECS while leveraging Amazon ECR as the container image registry, successfully managing automated deployments across 20+ microservices and maintaining 99.9% system uptime. Participated in Agile ceremonies and sprint delivery for digital banking initiatives.
Python Developer at Mphasis
November 1, 2019 - December 1, 2021
Developed backend services using Python (Flask/Django) and integrated with PostgreSQL; supported enterprise financial applications for global clients. Built and optimized REST APIs; handled high-volume data processing and reduced response times 40% through caching and query optimization. Implemented secure authentication & authorization with OAuth2; ensured compliance with financial data protection standards. Automated testing and deployment workflows; contributed to early CI/CD adoption with Git and Jenkins. Wrote unit/integration tests with PyTest and Jest; achieved 90% code coverage and mentored junior developers on Python best practices and clean architecture.

Education

Master's in Data Science at University of Texas, Arlington
January 1, 2022 - May 1, 2023
Masters in Data Science at University of Texas, Arlington
January 1, 2022 - May 1, 2023

Qualifications

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Industry Experience

Financial Services, Software & Internet, Professional Services