# Krithika Saravanan > ITSM Lead | Product Manager – AI/ML | AIOps, GenAI, Enterprise Platforms | Stanford AI & Deep Generative Models Location: United States, United States Profile: https://flows.cv/krithika ITSM Lead with experience driving AI/ML platforms, data science initiatives and AIOps automation initiatives. I translate operational challenges into user-focused, scalable solutions, collaborating with engineering and data teams to build predictive models, intelligent workflows and data-driven products. Actively seeking Product Manager roles in AI/ML and data platforms to combine enterprise ITSM expertise with hands on data science and ML experience. Passionate about leveraging data to optimize system performance, guide strategic decisions and enable innovation at scale. Known for bridging the gap between technical and non-technical teams to deliver data-driven solutions that align with organizational goals. ## Work Experience ### Software Engineer - ITSM Lead @ The National Institutes of Health Jan 2023 – Present | United States ### ITSM QA Manager @ The National Institutes of Health Jan 2023 – Jan 2023 | United States ### Software Engineer - ML Product Manager @ GlobalTekForce Jan 2022 – Jan 2023 | United States ### Machine Learning Engineer @ Bevywise Networks Inc Jan 2021 – Jan 2022 ### Software Developer @ Automated Election Services Jan 2018 – Jan 2021 | Rio Rancho • Developed high-quality source code for web applications using ASP .NET Core and analyzed structured and unstructured datasets with SQL to derive actionable insights. • Integrated machine learning APIs through REST and client libraries, assessing model responses to improve system accuracy and automate workflows. • Automated SQL database population with C# and optimized workflows using Jenkins for CI/CD, streamlining API interactions via Postman to improve deployment efficiency. • Leveraged pattern detection over large datasets to solve business problems and deployed scalable APIs on Azure, increasing data processing speed by 40% and supporting business growth. ### Data Scientist and Curriculum Facilitator @ University of New Mexico School of Engineering Jan 2017 – Jan 2018 | Albuquerque, New Mexico Area • Facilitated the AOLME project, guiding students in digital image and video processing in Python and Linux. • Collaborated with the research team to develop video logs and field notes for 15-20 students, showcasing their individual work. • Implemented a unique approach using projections and quadtree decompositions to detect monitor boundaries and characters. • Provided visual assessments for challenging videos with non-uniform illumination and variable viewing angles. ### Researcher @ University of New Mexico School of Engineering Jan 2017 – Jan 2018 | Albuquerque, New Mexico Area • Conducted data collection for students to assess learning through text activity detection from videos of computer monitors. • Developed a robust approach using Python and OpenCV to detect monitor, window boundaries, and individual characters. • Provided visual assessment for challenging videos with non-uniform illumination, monitor shaking, and variable viewing angles. ### Data Analyst and Web Master @ The University of New Mexico Jan 2015 – Jan 2017 | Albuquerque, New Mexico Area • Extracted student information from databases using SQL, created reports, and presented data trends to department deans. • Updated Graduate Studies website using Cascade WCMS, HTML, CSS, and JavaScript, increasing clicks by 19%. • Utilized Tableau to create visualizations like Stack Bar, Bar Graphs, and Scatter plots for data analysis. ## Education ### Master's degree in Computer Science University of New Mexico School of Engineering Jan 2015 – Jan 2017 ### Bachelor's degree in Computer Science and Engineering Anna University Chennai Jan 2011 – Jan 2015 ## Contact & Social - LinkedIn: https://linkedin.com/in/krithikasaravanan --- Source: https://flows.cv/krithika JSON Resume: https://flows.cv/krithika/resume.json Last updated: 2026-03-23