Hello! I'm a passionate Full Stack Engineer specializing in AI-powered applications, automation pipelines, and scalable web platforms. I design, build, and deploy end-to-end solutions using React, Node.js, and Python, with a focus on integrating large language models and automation to drive business outcomes. I collaborate with cross-functional teams, apply clean coding practices, and ensure production readiness through CI/CD, observability, and robust data infrastructure on AWS, GCP, and Azure. I'm committed to clean code, testing, and delivering reliable, scalable software.

RAMESH REDDY CHANGAL

Hello! I'm a passionate Full Stack Engineer specializing in AI-powered applications, automation pipelines, and scalable web platforms. I design, build, and deploy end-to-end solutions using React, Node.js, and Python, with a focus on integrating large language models and automation to drive business outcomes. I collaborate with cross-functional teams, apply clean coding practices, and ensure production readiness through CI/CD, observability, and robust data infrastructure on AWS, GCP, and Azure. I'm committed to clean code, testing, and delivering reliable, scalable software.

Available to hire

Hello! I’m a passionate Full Stack Engineer specializing in AI-powered applications, automation pipelines, and scalable web platforms. I design, build, and deploy end-to-end solutions using React, Node.js, and Python, with a focus on integrating large language models and automation to drive business outcomes. I collaborate with cross-functional teams, apply clean coding practices, and ensure production readiness through CI/CD, observability, and robust data infrastructure on AWS, GCP, and Azure. I’m committed to clean code, testing, and delivering reliable, scalable software.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Graduate Assistant & Grader at University of Maryland, Baltimore County
August 1, 2024 - May 1, 2025
Collaborated with cross-functional faculty stakeholders to gather requirements and deliver structured technical solutions; applied clean coding practices and iterative quality improvement cycles, reducing errors by 30%. Participated in Agile-style sprint planning and technical discussions; communicated complex technical concepts clearly to both technical and non-technical collaborators across the team. Maintained thorough technical documentation and contributed to team knowledge sharing, demonstrating strong organizational skills and consistent production-ready delivery on schedule.
Software Engineering Intern at Path Creators
June 1, 2021 - July 1, 2021
Designed, developed, and deployed a full-stack AI-powered web platform using React frontend and Node.js/Python backend; archi- tected and integrated REST APIs enabling seamless data exchange between front-end and back-end systems. Built and deployed an NLP-powered automation pipeline using the RASA framework; engineered intent classification and entity extraction pipelines as an AI copilot solution for automated user query resolution and workflow automation. Leveraged AI copilot tools including Claude Code and Cursor to accelerate development velocity and maintain clean code standards; collaborated in an Agile cross-functional team following CI/CD and code review best practices. Applied scalable backend architecture and microservices design patterns; documented all implementations and technical decisions for team knowledge sharing.
Research Intern at ICRISAT
September 1, 2022 - October 1, 2022
Designed and deployed AI-powered prediction applications using Python and Scikit-learn; built scalable data infrastructure with ETL pipelines for end-to-end data ingestion, transformation, and analytics reporting. Architected backend systems and API integrations connecting prediction models to a user-facing web interface; improved data reliability by 40% through cloud infrastructure deployment and structured data capture automation pipelines. Built analytics dashboards and KPI reporting systems delivering actionable insights to cross-functional stakeholders; documented all technical designs and contributed to team knowledge base.
Robotics Engineering Intern at Path Creators
June 1, 2019 - July 1, 2019
Led a team of five to design, develop, and deploy an AI-powered computer vision application using TensorFlow and OpenCV; architected backend control systems and REST API integrations for real-time data infrastructure across hardware and web interfaces. Managed deployment with CI/CD-style workflows and Docker containerization; applied clean coding practices, security best practices, and production monitoring for reliable system operation within a 36-day Agile sprint.

Education

Master of Science in Computer Science at University of Maryland, Baltimore County
August 1, 2023 - May 1, 2025
Bachelor of Science in Computer Science at St. Peter’s Engineering College
May 1, 2018 - May 1, 2022
Master of Science, Computer Science at University of Maryland, Baltimore County
August 1, 2023 - May 1, 2025
Bachelor of Science, Computer Science at St. Peter’s Engineering College
May 1, 2018 - May 1, 2022

Qualifications

Microsoft AI Classroom Series
October 1, 2020 - March 9, 2026
Software Engineering Virtual Experience – J.P. Morgan
October 1, 2020 - March 9, 2026
Python for Everybody – University of Michigan via Coursera
November 1, 2022 - March 9, 2026
Advanced Software Engineering – Walmart
November 1, 2022 - March 9, 2026
Microsoft AI Classroom Series
October 1, 2020 - March 9, 2026
Software Engineering Virtual Experience – J.P. Morgan
October 1, 2020 - March 9, 2026
Python for Everybody
November 1, 2022 - March 9, 2026
Advanced Software Engineering
November 1, 2022 - March 9, 2026

Industry Experience

Software & Internet, Media & Entertainment, Education, Professional Services, Other