Ananya Aggarwal*
Ananya Aggarwal*
Ananya Aggarwal*
Ananya Aggarwal*
Ananya Aggarwal*
999 points
*

a junior studying CS @ CMU interested in building projects.

I build things

B

Education

E

  • Carnegie Mellon University, Pittsburgh, USA

    BS in Computer Science

    Coursework: 15-440 Distributed Systems, 10-417 Intermediate Deep Learning, 15-251 Great Ideas in CS, 16-385 Computer Vision, 15-150 Functional Programming

  • Dhirubhai Ambani International School, Mumbai, India

    International Baccalaureate Diploma Program, Grade 12

    Attended one of the most academically competitive schools in India. Achieved perfect grades ~2% in the world.

Professional Experience

P

  • Carnegie Mellon University, Pittsburgh, USA

    Teaching Assistant for 15-210 (Parallel and Sequential Data Structures and Algorithms)

    • Course
    • Leading weekly interactive recitations for ~30 students, teaching parallel and sequential data structures and algorithms.
    • Hosting weekly Office Hours for individual student support, addressing queries from over 300 students, assisting professors and gradings assignments and exams.

  • C3.ai, Redwood City, California, USA

    Solution Engineering Intern

    • Developed the user interface of a page, making user-centered design decisions, integrating ML model outputs into the UI and database (Postgres and Cassandra), rigorously unit testing using jasmine (improved code coverage to 90%). Worked on data models.
    • Created and cached metrics by creating CronJobs jobs to reduce latency by 40x; Worked on a UI System built on React JS, using Redux tools, reducers and actions to build enterprise software; Cleaned, normalized (using a BatchJob) and ingested customer data

  • ToneTag, Bangalore, India

    Machine Learning Intern

    • Code
    • Spearheaded the pioneering development of a robust voice authentication solution for a company with transaction value of USD 1+ billion, using Python, PyTorch and Pyannote; Conducted rigorous testing against deepfake infiltrations.
    • Achieved 95% accuracy for voice authentication models through advanced preprocessing techniques, including denoising and DC/dither removal, to seamlessly align the models with ToneTag’s user database; Evaluated TDNN, X-Vector Architecture, 3D CNN, I-Vector, and D-Vector, culminating in an optimized one-shot learning voice authentication system.
    • Explored voice cloning technology, seamlessly integrating Speech Vector to Text-to-Speech (TTS) methodologies; Leveraged OpenAI’s Whisper’s Diarization model to augment the voice authentication system.

  • CMU Data Interaction Group

    Research Intern

    • Zeno Website
    • Collaborated on Zeno, an interactive framework for behavioral evaluation of Machine Learning, run under Graham Neubig.
    • Utilized OpenAI prompt engineering in a Jupyter notebook to conduct model-graded evaluation for text summarization, yielding high accuracies with summaries generated by GPT4.

  • Carnegie Mellon University, Pittsburgh, USA

    Teaching Assistant for 15-122 (Imperative Computing)

    • Course
    • Leading weekly interactive labs and recitations for ~60 students of 150 minutes, teaching data structures, C and imperative programming fundamentals.
    • Hosting weekly Office Hours for individual student support, addressing queries from over 500 students, assisting professors, overseeing assignment grading, and refining course materials based on TA feedback.

  • Research Under PhD Student of the University of Michigan, Ann Arbor, USA

    Researcher and Author

    • Paper
    • Developed image classification model that uses explainability to select additional data points for dataset.
    • Optimized data point selection and beat random selection model by combining explainable AI and active learning.

  • InStoried, Mumbai, India

    Computer Vision Intern

    • Code
    • Leveraged GoogleColab to single-handedly developed a computer vision model (custom YOLOv5 object detection) to identify objects in images of hotel rooms of travel websites likes TripAdvisor and Airbnb.

  • "When Will I Ever Use This?" Publication, Mumbai, India

    Co-Author

    • Sample
    • Researched and Co-authored a flipbook on the applications of high school math in daily life and unconventional careers.

Awards and Honors

H

  • 2022

    Global Topper, Hypatia Contest by CEMC, Score 40/40.

  • 2021

    Gold honors, HKIMO(Hong Kong International Mathematics Olympiad) heats. Score 76/100. National ranking 4th.

  • 2021

    Gold honors, AIMO (Asian International Mathematics Olympiad) trials. National ranking - 10th.

  • 2019, 2020

    Gold certificate, UKMT(United Kingdom Mathematics Trust) Intermediate Challenge. Global top 6-7%.

  • 2021

    School Topper. AMC (American Mathematical Contest) 12B. Score: 105. Group Rank 11.

  • 2021

    AIME(American Invitational Mathematics Examination) (invitational follow-on) Scored: 8/15.

Leadership and Activities

A

  • 2022 - 2023

    Dancer, CMU Sahara (Fusion Dance Team)

  • 2020 - 2021

    STEMulate, Member, DAIS: Conducted Math sessions exploring the Basel Problem.

  • 2020

    Always Here For You, Organizer, DAIS: Led a new year card-exchange program between school’s 11th graders and NGOs.

  • 2020 - 2021

    Jaivakeel Foundation, Volunteer, BDSIS: Reinforced concepts learned in weekly sessions with fun PPTs and skits.

  • 2019 - 2020

    Junior Student Council, Member, BD Somani International School: Organized the Tech for events and led events.

  • 2018 - 2019

    Fisherman’s Colony, Volunteer, BDSIS: Choreographed annual day dance and taught Alphabet Song to students.