# Aishani Sil > SWE @ Microsoft // Undergrad @ UC Berkeley Location: San Francisco Bay Area, United States Profile: https://flows.cv/aishani Hello! My name is Aishani, and I'm a Computer Science major studying at UC Berkeley. I'm a curious, motivated individual excited about any opportunity that exposes me further to industry applications of computer science. Feel free to contact me on LinkedIn or at asil737@gmail.com about anything at all! ## Work Experience ### Software Engineer @ Microsoft Jan 2022 – Present | Redmond, Washington, United States ### Software Engineer Intern @ Amazon Web Services (AWS) Jan 2021 – Jan 2021 ### Undergraduate Student Instructor (Discrete Math and Probability Theory) @ UC Berkeley Electrical Engineering & Computer Sciences (EECS) Jan 2021 – Jan 2021 ### Academic Student Employee (Discrete Math and Probability Theory) @ UC Berkeley Electrical Engineering & Computer Sciences (EECS) Jan 2020 – Jan 2021 ❃ Solidify conceptual knowledge and provide guidance on homework questions through weekly office hours ❃ Grade and offer feedback on class assignments ### Campus Ambassador and Instructor @ Juni Learning Jan 2019 – Jan 2021 ❃ Foster a welcoming campus environment among Juni instructors at Berkeley through routine communication through our Slack channel, welcoming new instructors to the community, distributing Juni apparel, and organizing on-campus meetups (Spring 2020) ❃ Continue teaching weekly lessons ### Computer Science Instructor @ Juni Learning Jan 2019 – Jan 2019 | San Francisco Bay Area ❃ Lead school-aged students in getting immersed in computer science learning and developing a passion for the field early on, by instructing multiple weekly classes using age-appropriate project-oriented curriculum in Python and Scratch ❃ These projects help students get an introduction to coding through learning how to use control structures, variables, functions, and more, as well as a hands-on experience in developing and debugging ### Mentor for Discrete Math and Probability Theory @ Computer Science Mentors Jan 2020 – Jan 2020 | Berkeley, CA ❃ Hold small-group tutoring sessions twice a week on discrete math and probability theory to solidify conceptual knowledge and develop test-taking skills (Spring 2020) ❃ Design curriculum to be used by all CSM70 instructors and students enrolled for supplemental tutoring (Fall 2020) ### Software Engineer Intern @ ServiceNow Jan 2020 – Jan 2020 ❃ Develop automated Selenium-driven tests in Java for UX-QE Web Interfaces team to increase efficiency of testing process for core platform features ❃ Create app platform using ServiceNow internal frameworks for developers to easily request performance testing and specify standardized requirements ❃ Final showcase: https://www.youtube.com/watch?v=lxZf-sTfKGA ### Above and Beyond Computer Science (ABCS) Fellow @ Facebook Jan 2020 – Jan 2020 ### Research and Publication Director @ Student Association for Applied Statistics (SAAS, formerly known as SUSA) Jan 2019 – Jan 2020 ❃ Guide a committee of 10 members through the research process by providing resources such as weekly technical workshops and guidance for paper writing and public speaking ❃ Help members work toward publishing a final paper and presenting at the Research Symposium at the end of semester ### Research And Publication Committee Member @ Student Association for Applied Statistics (SAAS, formerly known as SUSA) Jan 2018 – Jan 2019 | Berkeley, CA ❃ Semester 1: As a selected member for the Research and Publication Committee in SAAS, I worked on a research and data analysis project over the semester with the goal of publishing a final paper at the end of the semester. Through this project, I expanded my skills with Python, especially pandas and matplotlib as well as learned/practiced the essentials of writing an effective research paper. ❃ Semester 2: I trained a linear regression model to classify Yelp reviews by star rating based on the text content of the review. My papers are available to read below. ### Events and Marketing Office @ Student Association for Applied Statistics (SAAS, formerly known as SUSA) Jan 2019 – Jan 2019 | Berkeley, CA I was an active part of an eight-member committee responsible for planning social and academic events to build a sense of community among SAAS members. ### Academic Intern @ UC Berkeley Electrical Engineering & Computer Sciences (EECS) Jan 2019 – Jan 2019 ❃ Assisted weekly lab sections of 20-30 students with the lab/homework/project assignments in CS61A (Structure and Interpretation of Computer Programs) by providing debugging support, as well as help go over conceptual material to aid a student's understanding of an assigned problem ### Lab Assistant for Foundations of Data Science @ UC Berkeley Division of Data Sciences Jan 2019 – Jan 2019 | Berkeley, CA ❃ Help students in Foundations of Data Science (Data 8) during lab time to understand coding, data science, and statistics ideas and complete the Python lab assignments on Jupyter notebooks by whiteboarding concepts and assisting in debugging ### Computer Science Summer Institute Fellow @ Google Jan 2018 – Jan 2018 | Austin, Texas Area ❃ All expense paid summer immersion program at Google offices to engage in intensive programming in HTML, CSS, JavaScript, Python, and Google App Engine and incorporating this knowledge into a final project ❃ In the final project, I worked with a team of 3 other CSSI students to develop an app called GlobeNotes that helps people with their international travel by providing information on various countries in an interactive manner ### Research Assistant @ The University of Texas at Dallas Jan 2015 – Jan 2018 | Natural Sciences and Engineering Research Lab ❃ Began as an intern in the Material Sciences lab under a graduate student ❃ Worked on long-term project analyzing transistor data with Python code under Dr. Israel Mejia ### Research Assistant, NanoExplorers 2017 @ The University of Texas at Dallas Jan 2017 – Jan 2017 | Neural Interfaces Laboratory ❃ As a selected participant of the UTD NanoExplorers program 2017, I did research at the Neural Interfaces Laboratory in the Biological Sciences Building ❃ Project involved testing model electrodes for electrochemical factors and finding the electrode that will serve as the optimal neural electrode to be inserted into the nervous system to reduce pain ❃ Presented my work in August at the 2017 NanoExplorers Symposium ### Research Assistant, NanoExplorers 2016 @ The University of Texas at Dallas Jan 2016 – Jan 2016 | Alan G. MacDiarmid Nanotech Institute ❃ As a selected participant of the 2016 UTD NanoExplorers Program, I spend my summer researching artificial muscles modeled by bacteria-infused carbon nanotubes ❃ Presented my work at the 2016 NanoExplorers Symposium ## Education ### Bachelor's degree in Computer Science University of California, Berkeley ### National Merit Finalist Liberty High School ### Jasper High School ## Contact & Social - LinkedIn: https://linkedin.com/in/aishanisil - Website: https://github.com/silpillasil --- Source: https://flows.cv/aishani JSON Resume: https://flows.cv/aishani/resume.json Last updated: 2026-04-05