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Sachi Parikh

> currently: software development engineer @ amazon
> prev: machine learning research @ stanford, ucsf + nyu
> prev: computer science + philosophy @ northwestern
> interests: machine learning, natural language processing, security,
> distributed systems, russian literature, music, art

Education

2021 - 2025

Northwestern University

B.A. Computer Science (Concentration in AI), Minor in Philosophy

GPA: 3.89/4.0

Activities: Women in Computing, DJ @ WNUR 89.3 Rock Show, CTF Cybersecurity Team

National Science Foundation (NSF) Research Grantee (2022, 2023)

2017 - 2021

Lynbrook High School

National Center for Women & Information Technology (NCWIT) Aspirations in Computing Winner (2021)

National Merit Commended Scholar (2020)

Machine Learning 4 ALL (ML4ALL) Conference Speaker (2019)

SAT: 1550/1600

Experience

Sept 2025 — Present, June - Sept 2024 (Intern)

Software Development Engineer @ Amazon

- Leading production launch of the WorkDocs Progressive Web App I built during my internship, serving 900k+ users

- Security Guardian: conducting threat modeling & comprehensive security reviews

- Spearheading Bedrock integration with ticket queue for autonomous CLI execution/customer query handling

- Drove an 85% reduction in our ticket queue, bringing it to an all-time low

June 2022 - Dec 2023

NSF Research Fellow @ NYU Center for Cybersecurity

National Science Foundation (NSF) REU Grantee

- Investigated cryptocurrency and dark web infrastructure in fentanyl drug trafficking

- Built Python web scrapers to extract data from dark web marketplaces for fentanyl trafficking research

- Applied Natural Language Processing techniques using spaCy to develop database of drug trafficking organizations

- Published research on encryption methods used by overseas drug trafficking organizations

Aug 2020 - June 2021

Technical Curriculum Lead @ LingHacks

- Led curriculum development for computational linguistics hackathon with chapters nationwide

- Created comprehensive Natural Language Processing workshops and educational content

- Mentored participants in Kaggle competitions and NLP projects

June - Aug 2020

Machine Learning Research Intern @ UCSF Sirota Lab

- Analyzed and pre-processed Alzheimer's Disease RNA-sequenced data in R using Pandas and NumPy

- Generated violin plots using Matplotlib to identify differentially expressed genes as disease biomarkers

- Collaborated with Dr. Marina Sirota and Dr. Chioma Belonwu on ML-driven biomarker discovery

- Published abstract in American Medical Informatics Association (AMIA) Journal

Oct 2019 - May 2020

Machine Learning Research Intern @ Stanford PiMED Lab

- Improved image pre-processing models on MRI prostate cancer scans using SimpleITK, TensorFlow and Keras in Python

- Applied and developed novel Machine Learning approaches to MRI histopathology images under Dr. Mirabela Rusu

- Enhanced model accuracy for cancer detection through advanced preprocessing techniques

- Published abstract in Biomedical Engineering Society (BMES) Annual Journal

Projects & Research

Whisper Network

Open

A spy-themed, privacy-preserving Wordle cipher game inspired by AWS Clean Rooms. Two agents collaborate and compete while only sharing aggregate analytics—never raw guesses.

Clean Rooms S3 React Glue Node.js Athena TypeScript Parquet

Dream Data Lakehouse

Open

Cinematic dream journal that transforms written dreams into surreal short films using AWS Bedrock (Claude + Luma Ray 2).

Python TypeScript React AWS Bedrock S3 FastAPI ETL

RL Quadcopter Training

Open

Autonomous quadcopter training using deep reinforcement learning with DDPG and reward shaping.

Python DDPG NumPy Matplotlib Pandas RL Jupyter

CNN Dog Breed Classifier

Open

Deep learning model to identify canine breeds from images with 85%+ accuracy using transfer learning from ResNet-50.

Python Keras CNN ResNet-50 Jupyter

Spotify Sorting Hat

Open

Full-stack app that analyzes Spotify listening data to "sort" users into Hogwarts houses based on music characteristics.

Python Django React Spotify API ML

RNN TV Script Generator

Open

Recurrent neural network trained on 27 seasons of Simpsons scripts to generate new scenes using LSTM cells.

Python TensorFlow NumPy RNN LSTM Jupyter

GAN Face Generator

Open

Deep convolutional GAN for generating realistic face images through adversarial training on CelebA dataset.

Python TensorFlow GANs NumPy MNIST Jupyter

Zebrafish Drug Discovery

Open

Computer vision system analyzing zebrafish behavior patterns to identify neuroactive compounds for drug discovery.

Python OpenCV CNN Scikit-learn Matplotlib Pandas NumPy Jupyter

FNN Bike Share Predictor

Open

Neural network built from scratch using NumPy with custom backpropagation and gradient descent for time-series predictions.

Python NumPy Matplotlib Feedforward Neural Net Pandas Jupyter

Publications & Speaking

Machine Learning Analysis of Alzheimer's Disease Biomarkers

American Medical Informatics Association (AMIA) Journal
Sachi Parikh, Dr. Marina Sirota, Dr. Chioma Belonwu
Read Paper

Novel ML Approaches for MRI Histopathology in Prostate Cancer

Biomedical Engineering Society (BMES) Annual Journal
Sachi Parikh, Dr. Mirabela Rusu
Read Paper

My Journey Learning ML and AI through Self Study

Machine Learning 4 ALL (ML4ALL) Conference Speaker, 500+ attendees, 400,000+ views
Sachi Parikh
Watch Talk

Skills

Languages
Python Java C/C++ SQL R TypeScript JavaScript
Frameworks
React Node.js FastAPI Django
Machine Learning
PyTorch TensorFlow Keras NumPy Pandas spaCy Scikit-learn OpenCV Matplotlib
Cloud / Infra
aws
Bedrock S3 Lambda Glue Athena Clean Rooms DynamoDB

Contact