My journey in software engineering
Intel Corporation
Built a full-stack tracker for 350+ compute nodes using Flask, Spark, and SQL, cutting manual errors by 60%. Automated system telemetry via REST APIs and ETL pipelines, reducing repetitive tasks by 75%. Processed 400+ daily emails with Azure AI Studio and Data Factory, cutting processing time by 95%. Developing a GenAI chatbot for debug support and implementing CI/CD pipelines to boost software quality.
Intel Corporation
Engineered Python automation scripts that reduced manual workload by 40 hours/month and improved integration efficiency by 30%. Revamped test suite UIs using Flask and JavaScript, achieving an 8x speedup in execution. Collaborated in Agile sprints with cross-functional teams across firmware and software stacks.
Intel Corporation
Built a 5,000+ line Python backend for Power BI, reducing error rates by 20% and halving report generation time. Migrated 25+ dashboards to the cloud, improving accessibility by 35%. Enhanced JIRA dashboards for real-time sprint tracking. Mentored 4 interns, increasing test efficiency by 30% and cutting deployment time by 20%.
University of Cincinnati
Developed scalable Python/PowerShell automation scripts supporting video frame extraction for 5,000+ movies. Integrated FFmpeg and Beautiful Soup modules to optimize VLC scripting, boosting scraping speed by 50% and cutting frame extraction time by 35%. Worked in Agile sprints, contributing to planning sessions and retrospectives.
University of Cincinnati
Created automated testing frameworks using Python, Robot Framework, and Selenium to enhance traceability in scientific software. Wrote modular test cases and maintained documentation to streamline collaboration with research and QA teams.