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I am Subhajit Mandalai, a results-driven software engineer and AI systems developer with a strong foundation in Python, backend services, and data-driven product improvements. I enjoy designing scalable back-end architectures, building fast APIs with Python frameworks like Flask and FastAPI, and automating workflows across tools like Jira, Git, and Monday.com to accelerate delivery. Over the years I've contributed to Mphasis, Amazon (Skills Program), and other teams, blending software engineering with AI & data engineering. I thrive in collaborative environments that value curiosity, knowledge sharing, and continuous process improvement.…I am Subhajit Mandalai, a results-driven software engineer and AI systems developer with a strong foundation in Python, backend services, and data-driven product improvements. I enjoy designing scalable back-end architectures, building fast APIs with Python frameworks like Flask and FastAPI, and automating workflows across tools like Jira, Git, and Monday.com to accelerate delivery. Over the years I've contributed to Mphasis, Amazon (Skills Program), and other teams, blending software engineering with AI & data engineering. I thrive in collaborative environments that value curiosity, knowledge sharing, and continuous process improvement.

Subhajit Mandalai

Back-End Developer, Full Stack Developer, Data Scientist, +2

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I am Subhajit Mandalai, a results-driven software engineer and AI systems developer with a strong foundation in Python, backend services, and data-driven product improvements. I enjoy designing scalable back-end architectures, building fast APIs with Python frameworks like Flask and FastAPI, and automating workflows across tools like Jira, Git, and Monday.com to accelerate delivery. Over the years I've contributed to Mphasis, Amazon (Skills Program), and other teams, blending software engineering with AI & data engineering. I thrive in collaborative environments that value curiosity, knowledge sharing, and continuous process improvement.…I am Subhajit Mandalai, a results-driven software engineer and AI systems developer with a strong foundation in Python, backend services, and data-driven product improvements. I enjoy designing scalable back-end architectures, building fast APIs with Python frameworks like Flask and FastAPI, and automating workflows across tools like Jira, Git, and Monday.com to accelerate delivery. Over the years I've contributed to Mphasis, Amazon (Skills Program), and other teams, blending software engineering with AI & data engineering. I thrive in collaborative environments that value curiosity, knowledge sharing, and continuous process improvement.

Available to hire

I am Subhajit Mandalai, a results-driven software engineer and AI systems developer with a strong foundation in Python, backend services, and data-driven product improvements. I enjoy designing scalable back-end architectures, building fast APIs with Python frameworks like Flask and FastAPI, and automating workflows across tools like Jira, Git, and Monday.com to accelerate delivery.

Over the years I’ve contributed to Mphasis, Amazon (Skills Program), and other teams, blending software engineering with AI & data engineering. I thrive in collaborative environments that value curiosity, knowledge sharing, and continuous process improvement.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Advanced

Hindi

Intermediate

Work Experience

Ai Engineer / Python Developer at Mphasis

February 1, 2022 - June 30, 2024

Developed and deployed Python-based backend services and APIs using Flask to support intelligent automation, data processing, and AI-ready internal workflows in the Banking domain. Built and maintained RESTful APIs to handle backend data exchange, secure authentication, and seamless integration with analytical and internal dashboards. Designed optimized SQL queries and data models, managing relational and semi-structured data to support feature generation, data validation, and dynamic API responses. Created data-driven processing pipelines using Python, enabling efficient data transformation, enrichment, and preparation for analytics and AI- based systems. Implemented backend workflows for data extraction, validation, and structured logging, ensuring reliable inputs for downstream machine learning and AI applications. Integrated Python-based backend services with enterprise tools such as JIRA, Git, and Confluence, improving traceability, version control, and delivery workflows. Worked within Agile development teams, contributing to sprint planning, backlog grooming, and incremental delivery of scalable backend components. Designed scalable backend scripts and services for environment setup, API monitoring, and system health checks using Python and Flask.

Software Engineer at Amazon (Skills Program)

August 3, 2020 - March 31, 2021

Developed Python-based backend services and APIs; automated CRM workflows; integrated with Jira, Confluence; implemented backend automation using Monday.com API; built end-to-end booking workflows; ensured real-time event processing and robust data pipelines.

Ai Engineer at Virtual Employee pvt Ltd

September 2, 2024 - Present

Architected and implemented a full end-to-end integration between Vapi’s Voice AI Agent and Dentally CRM using FastAPI, Webhooks, and MCP. Designed REST APIs that allow Vapi to directly trigger backend workflows such as fetching appointments, booking slots, updating patient data, and validating dentist schedules in real time. Implemented secure HMAC webhook verification, raw-body logging, and asynchronous processing to ensure reliable communication between Vapi and backend APIs. Leveraged Dentally API (patients, appointments, practitioners) to automate the entire booking flow without manual intervention. Built a flexible conversation → action mapping engine, enabling the Vapi agent to execute custom backend operations using your internal logic. Added support for real-time event handling (incoming calls → API actions), improving booking accuracy and reducing human intervention by 100%. Containerized and deployed the API with proper environment handling, async logic, and error-resistant integrations. Deployed it to AWS EC2