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Hi there! I'm Dileep Kumar Bungatavula, an AI Software Engineer with 4+ years of experience building intelligent, cloud-native systems using Python, Node.js, and Angular. I enjoy turning ambitious ideas into scalable, data-driven solutions that make learning more accessible. In my work, I focus on developing scalable APIs, LLM pipelines, and GenAI deployments on AWS and Azure, leveraging distributed architectures, CI/CD, and automation. I love collaborating with data scientists to productionize ML prototypes and optimize performance for enterprise EdTech applications that deliver real-world impact.…Hi there! I'm Dileep Kumar Bungatavula, an AI Software Engineer with 4+ years of experience building intelligent, cloud-native systems using Python, Node.js, and Angular. I enjoy turning ambitious ideas into scalable, data-driven solutions that make learning more accessible. In my work, I focus on developing scalable APIs, LLM pipelines, and GenAI deployments on AWS and Azure, leveraging distributed architectures, CI/CD, and automation. I love collaborating with data scientists to productionize ML prototypes and optimize performance for enterprise EdTech applications that deliver real-world impact.

Dileep Kumar Bungatavula

AI Engineer, Full Stack Developer, Data Scientist, +2

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Hi there! I'm Dileep Kumar Bungatavula, an AI Software Engineer with 4+ years of experience building intelligent, cloud-native systems using Python, Node.js, and Angular. I enjoy turning ambitious ideas into scalable, data-driven solutions that make learning more accessible. In my work, I focus on developing scalable APIs, LLM pipelines, and GenAI deployments on AWS and Azure, leveraging distributed architectures, CI/CD, and automation. I love collaborating with data scientists to productionize ML prototypes and optimize performance for enterprise EdTech applications that deliver real-world impact.…Hi there! I'm Dileep Kumar Bungatavula, an AI Software Engineer with 4+ years of experience building intelligent, cloud-native systems using Python, Node.js, and Angular. I enjoy turning ambitious ideas into scalable, data-driven solutions that make learning more accessible. In my work, I focus on developing scalable APIs, LLM pipelines, and GenAI deployments on AWS and Azure, leveraging distributed architectures, CI/CD, and automation. I love collaborating with data scientists to productionize ML prototypes and optimize performance for enterprise EdTech applications that deliver real-world impact.

Available to hire

Hi there! I’m Dileep Kumar Bungatavula, an AI Software Engineer with 4+ years of experience building intelligent, cloud-native systems using Python, Node.js, and Angular. I enjoy turning ambitious ideas into scalable, data-driven solutions that make learning more accessible.

In my work, I focus on developing scalable APIs, LLM pipelines, and GenAI deployments on AWS and Azure, leveraging distributed architectures, CI/CD, and automation. I love collaborating with data scientists to productionize ML prototypes and optimize performance for enterprise EdTech applications that deliver real-world impact.

Skills

Experience Level

Expert

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Language

English

Fluent

Work Experience

AI Software Engineer at KGATE Technologies

July 1, 2025 - November 3, 2025

Architected and deployed AI services integrating LLM APIs, FastAPI, and Angular frontends for adaptive learning. Built and optimized retrieval-augmented generation pipelines with vector databases enabling retrieval-augmented conversational intelligence. Implemented Python microservices and Node.js APIs to improve inference throughput and system responsiveness by 30%. Managed AWS Lambda, ECS, and S3 workflows supporting model hosting, metadata management, and event-driven processing. Automated infrastructure provisioning with Terraform and Docker, enhancing cloud scalability and maintainability. Collaborated with data scientists to productionize prototypes into reliable AI models used across enterprise applications. Led CI/test automation, reducing model deployment time and regression issues by 25%. Developed observability dashboards for metrics and logs improving uptime and fault detection.

Software Engineer at Cognizant Technology Solutions

August 1, 2023 - August 1, 2023

Developed scalable APIs and distributed event pipelines supporting enterprise analytics and AI-powered automation. Integrated Node.js, FastAPI, and PostgreSQL-based backends for secure data processing. Led migration to AWS and Azure infrastructure, improving reliability, CI/CD efficiency, and resilience. Implemented real-time monitoring with Prometheus and Grafana optimizing latency and alerting. Collaborated with ML engineers on model-serving layers linking analytics APIs to AI workflows and dashboards. Wrote Python utilities for ETL and feature engineering improving data quality. Built RESTful integrations with vendor systems and internal microservices ensuring uptime. Maintained CI/CD pipelines with Jenkins and GitHub Actions for automated testing and prod-ready builds. Documented blueprints and playbooks improving onboarding efficiency for new developers.

Software Engineer Intern at EasyStepIn

December 1, 2021 - December 1, 2021

Developed full-stack prototypes with Flask and Angular demonstrating modular AI-driven content recommendation systems. Designed REST APIs and SQL data layers streamlining CRUD operations and improving API response time. Built data visualization interfaces with JavaScript/Chart.js enabling insights for educational datasets. Docker-based environments automated for testing and deployment. Created scripts for data preprocessing and validation supporting ML experimentation. Participated in Agile sprints, contributed to debugging and feature refinement. Maintained Git branching workflows for version control. Performed API testing and documentation to improve reliability for junior engineers and QA testers. Enhanced backend validation and caching to reduce latency and improve UX.