# Shashwat Srivastava > Building an AI Platform at Nooks.ai Location: San Francisco, California, United States Profile: https://flows.cv/shashwatsrivastava ## Work Experience ### Software Engineer @ Nooks Jan 2025 – Present | San Francisco, California, United States Building out the AI Platform at Nooks Nooks is on a mission to help augment salespeople with AI and I am along for the ride! ### Senior Software Engineer @ Opendoor Jan 2022 – Jan 2025 | San Francisco Bay Area - Leveraged computer vision technology to automate categorization of video assessments of homes, resulting in a cost savings of $1.5 million per year previously spent on manual labor - As a founding member of the Data Acquisition and Strategy eng team, contributed to the successful integration of various alternative datasets into the experimentation and machine learning pipelines, leading to improved accuracy of all models across the company - Successfully led the company-wide migration to Databricks for Spark-based data processing, resulting in improved reliability, better data governance, and streamlined workflows across the organization - Successfully tested and evaluated multiple data quality solutions to identify the best fit for our organization's needs, leading to the integration of a new platform that effectively addressed data quality issues company-wide. The platform's advanced capabilities even detected data quality issues before our vendors were aware of them, resulting in improved data accuracy and increased operational efficiency - Played a pivotal role in mentoring junior engineers and interns to onboard them quickly and effectively, while also providing technical direction to the team to ensure high-quality code delivery and successful project outcomes This description is brought to you by chatGPT ### Software Engineer @ Opendoor Jan 2018 – Jan 2022 | San Francisco Bay Area Engineer on the Data Platform team - Responsible for maintaining the infrastructure which generates and serves metrics for the entire company - Led work on creating new pipelines to reduce the ingestion latency of critical data from external sources by 95% - Helped migrate existing workflows from GCP Bigquery to Snowflake to help consolidate data in one cloud and reduce DWH costs by 10s of thousands of dollars a year - Worked on projects involved with ingestion from new data sources, data quality frameworks and mapping of raw data to a normalized format Technologies used: SQL, Python, pySpark, k8s, Go, gRPC ### Software Development Engineer @ AppDynamics Jan 2016 – Jan 2018 | San Francisco Bay Area Worked in a small team responsible for the backend of the globally distributed, secure, multi-tenant Selenium-based synthetic monitoring product.  Specialized in designing and executing a data driven approach to improve efficiency and reduce cost. Primarily worked with Java and Python Frameworks used: Chef, Cucumber, Selenium, Docker, Guice Software Engineer II - Synthetic End User Monitoring Team • Increased product efficiency by 10% by redesigning the architecture to leverage long running services and parallel pipelines
 • Used historical data to create budget models to study the financial feasibility of upgrading the AWS hardware • Resulted to a 35% improvement in performance of jobs submitted by customers Software Engineer I - Synthetic End User Monitoring Team • Used the AppDynamics Analytic agent to instrument the product and collect real time efficiency data • Used these metrics to make decisions on how to make the product faster and led efforts to implement these solutions • Increased product efficiency from the original 15% to 50% • Reduced number of machines needed by 10% by analyzing customer usage patterns using Microsoft Excel ### Software Engineer Intern @ Microsoft Jan 2015 – Jan 2015 | Redmond, Washington • Worked on ramping new features through internal Microsoft users before release to production • Extended the existing system to allow features to only be available to a specific group of internal users so as to allow riskier features to be tested internally before release • Used Azure Active Directory groups and Graph API as part of the project ### Teaching Assistant @ Carnegie Mellon University Jan 2014 – Jan 2014 • Taught freshmen and Masters students with little to no programming experience • Led recitations and held office hours ### Software Engineer Intern @ Microsoft Jan 2014 – Jan 2014 | Redmond, WA • Helped identify blockages and delays in deployment of new OneDrive releases • Wrote plugins for a framework which parsed raw data and generated automated analyses which made identifying bottlenecks easier ### Summer Program Intern @ ThinkLABS Technosolutions Pvt. Ltd. Jan 2013 – Jan 2013 | Mumbai, India • Learned I/O port programming, Timer Programming, Wireless Communication and Interrupt Programming • Completed a project using an ATmega16 and an ATmega32 based board which could read the signals from an ordinary remote control using timer programming ## Education ### Bachelor of Science (B.S.) in Electrical and Computer Engineering Carnegie Mellon University ### High School R.N. Podar School ### High School Cathedral and John Connon School ## Contact & Social - LinkedIn: https://linkedin.com/in/shashsrivastava --- Source: https://flows.cv/shashwatsrivastava JSON Resume: https://flows.cv/shashwatsrivastava/resume.json Last updated: 2026-04-11