# Anusha Kansal > Software Engineer @ Databricks | UC Berkeley Alum Location: San Francisco Bay Area, United States Profile: https://flows.cv/anushakansal ## Work Experience ### Software Engineer @ Databricks Jan 2024 – Present AI Gateway team ### Software Engineering Intern @ Apple Jan 2023 – Jan 2023 | Seattle, Washington, United States • Designed and deployed 3 Java CRUD operations for 500+ reviewers to use to provide feedback on model inferences for retraining ML models used within the App Store Review pipeline, being used in production for incoming app submissions • Made workflow with Docker and sidecars to update Cassandra tables with reviewer feedback; assisted in the development of App Store Review UI in React • Implemented internal Kafka publisher-consumer notification system; wrote 10+ unit tests, added Splunk logging • Presented to 70+ people, worked closely with 3+ teams to built product ### Software Engineering Intern @ Apple Jan 2022 – Jan 2022 | Cupertino, California, United States • Created an Apple internal tool to maximize efficiency across a team of 15+ engineers, using Python, keyword extraction (RAKE and Cosine Similarity), internal APIs, Kubernetes, and Docker • Deployed an algorithm to run on incoming problems, parse through and update a database of 60,000+ old problems to find the most similar ones, and attach them to each incoming problem ### Undergraduate Research Assistant @ Center for the Built Environment, UC Berkeley Jan 2022 – Jan 2022 | Berkeley, California, United States • Developed HVAC control algorithm based on indoor and outdoor PM2.5 measurements from smart thermostat sensors • Performed data analysis and modeling to determine spikes of harmful quantities of PM2.5 in the air • Collaborated with UC Berkeley researchers, professors, and students to gather data and produce hardware for PM2.5 analysis ### Principles & Techniques of Data Science Course Staff @ UC Berkeley Division of Computing, Data Science, and Society Jan 2021 – Jan 2021 | Berkeley, California, United States • Requires mastery of advanced data science curriculum (Python, ML concepts, regression models, classification techniques, etc) • Answered conceptual questions during office hours for 1000+ students in the class (DATA 100) • Led and taught 20-person, small-group discussion sections on Random Forests • 8 hours of commitment per week ### Product Development Intern @ PolitiPledge Inc. Jan 2021 – Jan 2021 • Mission: Democratizing federal lobbying by creating a politician recommendation algorithm tailored to users + allowing users to pledge and donate funds towards political issues they care about • Used JavaScript and a Google API to return congressional representative + district information, given a residential address • Researched and integrated Python code with AWS Lambda • Connected AWS API Gateway and AWS RDS with existing functions in AWS Lambda • Designed and fixed the front-end with JavaScript, PHP, HTML/CSS, and WordPress • Queried and aggregated relevant monetary data with SQL + displayed it on the website ### Data Structures Academic Intern @ UC Berkeley Electrical Engineering & Computer Sciences (EECS) Jan 2021 – Jan 2021 | Berkeley, California, United States • Assisted 20+ students with conceptual and coding questions related to CS 61B, 4 hours per week ### Junior Academy Member @ The New York Academy of Sciences Jan 2019 – Jan 2020 • Used Python to compute >30% shorter transportation routes to reduce carbon emissions in the overall transport chain • Designed and proposed a solution to optimize one-delivery, one-pick-up Sprinter transportation, with a focus on northeastern US routes • ~10% admittance rate into the Academy • Spent 10 weeks collaborating and prototyping with an international team and mentor ### Global STEM Software Engineering Intern @ Cisco Jan 2019 – Jan 2019 | Milpitas, California, United States • Co-designed and co-developed a log miner/analyzer, with functionality to search and filter by log type, keyword, and time range • Created a user interface and backend server in JavaScript and HTML/CSS • Shadowed a Software Engineer, learned about white hat hacking, Cisco data centers, access points ## Education ### Bachelor's degree in Computer Science, Data Science (emphasis in Business & Industrial Analytics) University of California, Berkeley ### High School Diploma Leland High School ## Contact & Social - LinkedIn: https://linkedin.com/in/anushakansal --- Source: https://flows.cv/anushakansal JSON Resume: https://flows.cv/anushakansal/resume.json Last updated: 2026-03-22