Deepansha Singh

Hi! I'm an incoming senior at University of California, San Diego, majoring in Mathematics-Computer Science. I've been coding since 8th grade. Below you can find a list of my skills, education, experiences, research, projects, teaching, talks, service, and awards, in Math-CS. I'm primarily familiar with fullstack development along with Machine Learning/Deep Learning areas.

Email: deepansha.singh@gmail.com
LinkedIn: https://linkedin.com/in/deepansha-singh

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Skills

• Languages: Java, Python, Javascript/Typescript, C#, C++, C, ARM Assembly, Bash, Kotlin, R, HTML/CSS, SQL, Matlab, Q#
• Frameworks: PyTorch, TensorFlow, NumPy, Pandas, Scikit, Flask, Angular, React Native, Qiskit

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Education

Mathematics-Computer Science Major
University of California, San Diego

• Relevant Coursework: Advanced Data Structures (CSE 100), Computer Organizations & Systems Programming (CSE 30), Software Tools and Techniques Laboratory (CSE 15L), Recommender Systems and Web Mining (CSE 158), Software Engineering (CSE 110), Linear Algebra (Math 18), Statistical Methods (Math 183), Intro to Differential Equations (Math 20D), Vector Calculus (Math 20E), Enumerative Combinatorics (Math 184), Seminar In Artifical Intelligence (CSE 259), Design & Analysis of Algorithms (CSE 101), Intro to Deep Learning & Applications (ECE 176), Supervised Machine Learning Algorithms (COGS 118A), Principles of Computer Operating Systems (CSE 120), Advanced Machine Learning Methods (COGS 185).
• Taking "Computer Networks" (CSE 123), "Discrete and Continuous Optimization" (CSE 106), and "Introduction to Computer Security" (CSE 127) this Fall.

Program Participant
Program in Algorithmic & Combinatorial Thinking (PACT)

• Learned college-level discrete mathematics and computer science concepts like advanced algorithms in high school. Participated in both summer and full-year programs.
• Taught by Dr. Rajiv Gandhi.
• Book covered: "Algorithm Design" by Kleinberg & Tardos

Course Participant
Princeton University, High School Dual Enrollment Course - COS 226

• Selected to participate in course after exhausting and excelling in all of my high school computer science coursework. Enrolled in Princeton University's dual enrollment course (COS 226 - "Data Structures & Algorithms") in 12th grade of high school.
• Taught by Professor Wayne.
• Book covered: "Algorithms," 4th edition by Sedgewick & Wayne

Course Participant
Stanford University Level Online (ULO) Number Theory Course

• Participated in Number Theory (XM452) course in high school.

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Experience

SWE Intern
Google

• Working on internal infrastructure.
• Currently working with Java, Typescript, HTML/CSS, Angular. Will also be working with Python and Kotlin.

STEP Intern
Google

• Interned on the Google Cloud Security & Privacy team.
• Worked on UI & backend code, created thorough tests, implemented best coding practices, and learned about API design. Designed the solution for the implementation.
• Worked primarily with Angular/Typescript in the frontend and Java in the backend.

CS Research mentorship program (csrmp) participant
Google

• Received mentorship from a Google researcher, primarily in the "Machine Intelligence" field.

Computer Science Summer Institute (CSSI) Participant
Google

• Selected to participate in a program for incoming college freshmen passionate about computer science.
• Learned Javascript.

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Research

Volunteer Researcher
Vector Institiute

• Worked on project at the intersection of deep learning and mathematics area, specifically in transfer learning.
• Worked with PyTorch.

Volunteer Researcher
Design Lab, HXI Lab

• Worked on a project at the intersection of machine learning and health, in professor Weibel’s HXI lab at UCSD, worked under master's student's guidance. Worked with sklearn.

Program Participant
University of Washington, CSNext Program

• Got the opportunity to attend panels/talks/technical lectures. Mentored by University of Washington graduate students. Worked on a small Machine Learning research project with a team of other students.
• Learned about Recurrent Neural Nets (RNNs) & Long short-term memory (LSTM) networks & worked with various different classifiers.
• Gave final presentation for team project.
• Used sklearn and TensorFlow Keras packages.

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Projects

Class Final Project
ECE 176, "Intro to Deep Learning & Applications"

• Worked with project partner on final project for ECE 176 course.
• Reimplemented a research paper on convolutional neural network architectures and their performance with various different optimizers to a different application/dataset.

Class Final Project
COGS 118A, "Supervised Machine Learning Algorithms"

• Collaborated in a group to implement various machine learning classifiers and various metrics on datasets. Used scikit library.

Hackathon Project
HackPrinceton

• Worked in a group of 4 to integrate various pre-trained deep learning models from HuggingFace platform in the hackathon project.

Volunteer Developer
UCSD Triton Software Engineering (TSE) Oragnization

• Selected to be a developer for UCSD's Triton Software Engineering (TSE) organization after completing the tryouts process.
• Contributed to two software engineering projects with React Native and Javascript primarily.
• Worked in a team with other developers and designers.

Program final project - "“MLappy Bird”- Machine Learning Flappy Bird
Google Computer Science Summer Institiute

• Integrated ML Javascript API for pose classification extension of flappy bird.

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Teaching

Volunteer TA
Qubit by Qubit and Microsoft Azure Quantum

• Selected to be a volunteer TA for 2023 quantum winter school run by Microsoft Azure Quantum and Qubit by Qubit initiative.
• Taught students various quantum mechanics and quantum computing concepts, along with programming in Q#.

Volunteer Tutor
Qubit by Qubit

• Selected to be a volunteer tutor for a Qubit by Qubit course for high school students, run during 2021-2022 year.

Volunteer Tech Fellow
CodePath

• Completed tech fellow training over Summer 2021.
• Facilitated android app dev course at UC San Diego virtually alongside other UCSD tech fellows in Fall 2021.

Volunteer
AI Inspire

• Voluntarily taught college-level computer science concepts at my local library and community center, in high school.

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Talks

Technical Workshop speaker & Panelist
Women in STEM

• Gave technical workshop in the area of quantum computing and quantum ML.
• Talked about my journey in tech.
• Invited to a panel where I talked about college admissions process.

Speaker
TechGirlz

• Gave a talk on Quantum Computing & Quantum Machine Learning

Speaker
Southern California Quantum Computing Discussion by Kevin Kawchak

• Invited to speak about my background and journey in technology and computer science, and specifically also in quantum computing.

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Certifications

Certified Cloud Practioner
AWS

• Received certification in May 2022. Expires May 6, 2025.

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Service

Tech Fellow
Harvard Women Engineers Code (WECode) Conference

• Selected to be a tech fellow for the Harvard WECode conference in 2022.
• Worked towards increasing participation of women in the conference.

Judge
"Qubit by Qubit" platform from The Coding School

• Invited to be 1 of 2 judges for a "Qubit by Qubit" course's final project (in quantum computing).

Co-President
Computer Science & Engineering Society

• Previously Co-President of the Computer Science & Engineering Society (CSES) from 2022-2023 academic year.

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Awards

Silver Contestant
USA Computing Olympiad (USACO)

• Promoted to USACO silver division in Feb 2020.

High School Senior Excellence In Computer Science Award
West Windsor-Plainsboro High School South

• 1 of 2 people in my graduating high school senior class to receive an "excellence in computer science" award.

Provost honors
Seventh College, University of California San Diego

• Obtained a minimum of 3.5 GPA with at least 12 units for the quarter.