# Sarim Ahmed > Software Engineer II at Microsoft Location: United States, United States Profile: https://flows.cv/sarimahmed Our team at Microsoft has advanced Azure for Operators by integrating AI-powered insights, automating testing, and refining architecture, contributing to a significant reduction in bug detection times. My role centered on creating an innovative Python framework for network testing and anomaly detection, leveraging sentiment analysis and GPT-4, which streamlined processes and enhanced system reliability. Holding a Master’s from Boston University, I'm deeply engaged in the intersection of software engineering and artificial intelligence. Previously, I lead the development of an auto-ticketing system using OpenAI LLMs, improving incident tracking and root cause analysis. My expertise in React.js and Azure Machine Learning, combined with a passion for driving efficiency through technology, continues to fuel my contributions to transformative projects. As a mentor, I'm committed to empowering my peers, sharing in-depth knowledge, and fostering a collaborative environment for innovation. ## Work Experience ### Software Engineer II @ Microsoft Jan 2024 – Present | Burlington, Massachusetts, United States - Built the AI-powered RPS Insights framework that generates real-time recommendations for global datacenter build planning, reducing planner analysis cycles and improving decision accuracy.  - Developed the Network Planner Assessment Tool using OpenAI to automatically evaluate regional and parcel impact scenarios, cutting review time from hours to minutes.  - Engineered real-time synchronization between SOM (Signal Order Management) and RPS across 50+ order types, reducing order proposal workflows by 75% and eliminating system-switching for planners.  - Delivered core components of the OneMDM → RPS migration by implementing metro-specific business rules, context-aware UI behaviors, and fault-tolerant data integration.  - Redesigned the RND Layout Engine, decoupling rendering components and resolving long-standing layout failures impacting 50+ planners.  - Led the EV2 migration for RPS Order Management, removing all S360 security blockers, enforcing modern TLS compliance, and restoring deployment velocity.  - Developed reliable multi-region data synchronization pathways across SOM, CSPW, and RPS, reducing data integrity issues across planning workflows. ### Software Engineer II @ Microsoft Jan 2023 – Jan 2024 | Burlington, Massachusetts, United States Led strategic initiatives in software engineering, driving AI-powered insights integration, automated testing solutions, and optimized architecture for Microsoft's Azure for Operators insights platform. Key Accomplishments:​ - Created an AI Insights Python framework for mobile network testing, analyzing logs, time-series data, call model traces, and performing anomaly detection & core dump analysis. Utilized sentiment analysis and GPT4 for log analysis, working closely with Microsoft Research, drastically reducing bug detection and RCA time from 2 hours to 5 minutes. - Developed auto-ticketing and duplicate incident tracking system using OpenAI LLMs and sentence embeddings, enabling automatic RCA identification and resolution for new incidents, enhancing issue detection for major customers such as AT&T, Etisalat, 3UK, decreasing incident time and contributed to a projected $4.6 million in savings. - Developed end-to-end smoke, soak, and resiliency Python test suites via Azure DevOps Pipelines, adopted by over 5 teams, achieving a 95% reduction in manual testing hours and saving approximately 110 hours monthly - Led major infrastructure development and architecture refactors in Azure, deploying multiple production-grade Kubernetes clusters with Azure Key Vault, Application Gateway, enhancing security and deployment efficiency. - Conducted Azure GPT training for 143 developers, contributed to multiple AI-related patents, authored a white paper on Iterative Testing, and led tech sessions on AI and Machine Learning fundamentals. - Patents Filed: AI-BASED ROOT CAUSE ANALYSIS FOR TELECOMMUNICATIONS SYSTEMS & SMART PROMPT GENERATOR FOR GPT MODELS ### Software Engineer I @ Microsoft Jan 2022 – Jan 2023 | Burlington, Massachusetts, United States ### Software Development Engineer II @ Aetna, a CVS Health Company Jan 2021 – Jan 2022 Working in an Agile train environment to develop and deliver microservices for CVS Health clients. Engaged in the identity access management train and played a key development role in year-long authentication platform migration. • Lead developer on identity access management microservice used to authenticate users for a major CVS Health client • Developed additions to existing automated testing application to support next generation authentication methods • Worked closely with system architecture team to integrate performance optimizations into end-to-end systems • Mentor and leader for several members onboarding onto the team, providing in-depth knowledge transfers to peers ### Software Engineer @ Lambent Jan 2019 – Jan 2021 | Boston, Massachusetts • Lead developer on company’s primary video analytics tool that allows fellow developers to monitor camera performance, view realtime detection statistics, and add actionable information to cameras • Created, trained, and tested one of two machine learning models that is used to provide venue occupancy counts • Refactored video analytics codebase and made improvements that greatly reduced false positive and error rates ### Software Engineering Intern @ Lambent Jan 2018 – Jan 2019 | Greater Boston Area ### Software Engineering Intern, Center of Data Science @ University of Massachusetts Amherst Jan 2018 – Jan 2018 | Amherst, MA - Lead software engineer for ‘Automated Assessment of Public Parking Utilization’ study, aimed at improving local parking availability through computer vision - Developed deep learning based solutions to automatically detect parking occupancy in real-time - Collaborated with team to apply data science tools and methods in ways that benefit local non-profits, community organizations, and governments ### Founder & CEO @ Nupek, Inc. Jan 2018 – Jan 2018 | Amherst, MA Nupek is a video analytics company providing business intelligence for retail stores. We track key metrics such as people counting, buyer demographics, and customer flow to help businesses better allocate resources. https://www.nupek.com ### Software Engineering Intern @ SensorInsight Jan 2017 – Jan 2017 | Houston, TX • Created an internet connected soil sensor to monitor plant moisture and air quality for industrial and consumer use • Created cross platform mobile application for monitoring soil sensor data • Developed video analytic programs for large crowd counting, vehicle counting, face detection, and security surveillance videos • Created machine learning based facial recognition using OpenCV, Python, and Amazon Services • Created NDVI (Normalized Difference Vegetation Index) calculator based on satellite imagery for agricultural use ## Education ### Bachelor of Science - BS in Computer Science University of Massachusetts Amherst ## Contact & Social - LinkedIn: https://linkedin.com/in/sarim987 --- Source: https://flows.cv/sarimahmed JSON Resume: https://flows.cv/sarimahmed/resume.json Last updated: 2026-03-31