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Rajeshwar Rengeswaran

Rajeshwar Rengeswaran

AI Engineer | Software Tester | Pega Developer

Technology / Internet

Boulder, Boulder

Social

Services offered

Data Science graduate student at the University of Colorado Boulder with 3 years of experience in software development, cloud systems, APIs, and data pipelines for SOX‑compliant financial applications. Background includes hands‑on work as a Pega developer and tester, contributing to enterprise workflow automation and quality assurance. Strong foundation in Python, data engineering, and data analysis, with exposure to multi‑agent AI systems. I stay current with emerging AI infrastructure and protocols, including MCP, ACP, A2P, and NVIDIA’s CUDA platform. Seeking software engineering or data engineering internship roles where I can apply my technical experience to solve real‑world problems.

Pega developer
Software engineer
Software tester
Data engineer
Approximate rate: USD$ 30 per hour

Experience

Software Development Engineer in Test | Aug 2022 – Aug 2025

Pegasystems Inc | Bangalore, India

  • Developed a LangGraph-powered AI agent (RAG + MCP) on an SOX-compliant application that lets business users query signed deals and contracts in plain English - cutting document search time by 80%
  • Implemented Healenium in legacy Selenium automation scripts to add self-healing capabilities, reducing effort spent fixing broken tests by ~50%.
  • Built a centralized insights dashboard across SOX-compliant apps to monitor resource utilization and search indexing—improving operational visibility and issue tracking by ~40%.
  • Built a feedback summarizer in the UAT environment that converts raw UAT feedbacks into actionable insights—cutting review time by ~80% and speeding up issue triage.
  • Built a quarterly automated job to delete obsolete QA environment cases—freeing system resources and improving overall performance by ~25%.

Education

University of Colorado Boulder | Master of Science, Data Science | May 2027

Relevant Coursework: Agent development, Data Engineering, Data Visualization, Machine Learning, Applied Statistics, Data Structures and Algorithms

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