Pankaj Mahato

Optum - Software Engineer.

• Led end-to-end development of “Peach,” a core healthcare product, using Python (Flask & Django), MongoDB, and AWS; managed backend architecture and service integrations across modules.
• Designed and maintained scalable REST APIs and microservices using Flask and Django, enabling support for diverse healthcare applications.
• Developed backend services for the EPS project, streamlining healthcare workflows and improving operational efficiency by 35%.
• Integrated NLP features and automation into AI-driven projects (Voice) to enhance functionality and user interaction.
• Developed an OpenAI-powered chatbot as part of the Voice project, later integrated into PEACH to enhance user support, automate queries, and improve response accuracy.
• The solution reduced manual effort by 65% and improved risk management by lowering fraudulent insurance claims by 10–12%, directly impacting operational efficiency and compliance.
• Directed a team of developers, conducted code reviews, sprint planning, and mentoring in an Agile environment.
• Led technical interviews and onboarding of new hires to build a strong development team.
• Utilized Git, Jenkins, Docker, and CI/CD pipelines for continuous integration, automated testing, and deployment.

Xceedance - Functional Expert

• Contributing to the development of APIs using Java Spring Boot to meet business requirements.
• Assisting in the creation of dashboards and reporting solutions to support client needs.
• Actively involved in technical interviews and early team leadership responsibilities.
• Collaborating with cross-functional teams in an Agile environment to deliver enhancements on time.

Tech Stack: Java, Spring Boot, React, Python, Django, FastAPI, CI/CD, Docker, Kafka, Kubernetes, SQL, MySQL, MongoDB, REST APIs, Git, Jenkins, Docker, Azure, Power Bi.

• Led development of “ZING” project, building both frontend (React) and backend (Python, Flask, MongoDB) features, which improved system response times by 30% and reduced customer support tickets by 20%.
• Contributed to FERRING project, managing databases and backend services, achieving 65% uptime and faster query responses.
• Collaborated in Agile environment with cross-functional teams to deliver product enhancements on schedule, increasing sprint completion rate by 15%.
• Implemented automation workflows using Python and Selenium, reducing manual effort by 40% and improving reliability of recurring tasks.
• Supported AI initiatives by integrating automation and data processing features, accelerating analytics report delivery by 25%.
• Tech Stack: Python, Flask, React, JavaScript, Python, Django, FastAPI, Selenium, PostgreSQL, MongoDB, Git, Azure, GCP

• Developed and maintained Python (Flask & Django) REST APIs for banking applications, handling complex data transformation and system integration.
• Optimized existing APIs through targeted updates, bug fixes, and performance tuning, improving overall system responsiveness and stability.
• Worked extensively with Mongo for advanced queries, data validation, and backend data support.
• Collaborated with cross-functional teams to facilitate seamless data migration and ensure API functionality aligned with business and user requirements.
• Conducted ETL testing, validation, and monitoring to ensure high data accuracy, integrity, and system reliability.
• Gained hands-on experience with AWS Lambda for monitoring, processing, and analyzing large-scale datasets.

Tech Stack: Python, Flask, Django, SQL, Async Processing (Celery/Background Tasks), Azure, Azure Databricks, AWS, Selenium, and Git.