Sharan Ramjee
I’m a Machine Learning Engineer passionate about bridging the gap between AI research and production systems. I hold a Master’s degree in Computer Science (AI concentration) from Stanford University and a Bachelor’s degree in Computer Engineering from Purdue University.
When I’m not training models, you’ll find me inventing new cocktails, DJing house and techno, chasing waves surfing, or traveling to exotic destinations. If you’d like to chat about my work or anything else, feel free to reach out to me at sharanramjee [at] gmail [dot] com.
Industry Experience
Stripe
New York, NY- Built Stripe's merchant intelligence service to orchestrate a suite of web crawling AI agents at scale, reducing the rate of undetected unsupportable merchants onboarded by 34% annually
Tech stack: LangGraph, browser-use, Browserbase, Perplexity, FireCrawl
- Built core integrations for Stripe's llm-proxy service, enabling company-wide access to the latest LLMs across Azure, AWS, GCP, OpenAI, and other LLM inference providers
Tech stack: OpenAI, lite-llm, Temporal, Braintrust
- Built a framework for LLM-as-a-judge evals for Stripe's Universal Help support chat interfaces, enabling better LLM performance-cost-latency trade-offs and improving CSAT by 8% annually
Tech stack: ElasticSearch, LangChain, Braintrust, Ragas
- Led a team of engineers, DS, strategists, and ops to propose and build Scorpion - Stripe's first multivariate time-series transformer for Risk Detection, reducing losses by $16M+ annually
Tech stack: SQL, PySpark, Airflow, Kada, Flyte, Databricks
- Built FI-Explain - an ML explainability tool powering Stripe's Sonar product for platforms that provides local and global feature importances for Stripe's suite of ML fraud models
Tech stack: XGBoost, scikit-learn, WandB, SHAP
Palo Alto Networks
Stanford, CA- Conducted competitive analysis of CAASM products and delivered an MVP for Palo Alto Networks' first Cyber Asset Attack Surface Management offering
Tech stack: Jira, Confluence, Figma
- Built Model Distillation capabilities to extract decision rules by converting black-box ML models into interpretable tree-based models, enabling explainability for models on GCP
Tech stack: TensorFlow, Keras, scikit-learn, Fig, Blaze
Qualcomm
San Diego, CA- Built an LSTM-based time-series model to estimate Quality-of-Service parameters that trade-off performance and power for multimedia use-cases
Tech stack: TensorFlow, Keras, scikit-learn
Sapient
Bangalore, India- Performed big data analytics to derive business insights from large-scale datasets
Tech stack: Pandas, Spark, Hadoop
Research Experience
Stanford University
Stanford, CA- Intuitive human-robot interaction using distributed RL at the Stanford Vision and Learning Lab
- Contributed to iGibson, an interactive simulator framework supporting large-scale virtualized realistic scenes for robot learning
Purdue University
West Lafayette, IN- ML for Signal Processing (modulation classification / interference identification)
- Published 5 papers (3 as first author) in top IEEE journals and conferences and won $750k at the DARPA Spectrum Collaboration Challenge (SC2)
Academic Publications
- Sharan Ramjee, Shengtai Ju, Diyu Yang, Xiaoyu Liu, Aly El Gamal, Yonina C. Eldar. "Ensemble Wrapper Subsampling for Deep Modulation Classification". IEEE Transactions on Cognitive Communications and Networking (TCCN), Aug. 2021
- Sharan Ramjee, Aly El Gamal. "Efficient Wrapper Feature Selection using Autoencoder and Model Based Elimination". IEEE Letters of the Computer Society (LOCS), May. 2020
- Xingchen Wang, Shengtai Ju, Xiwen Zhang, Sharan Ramjee, Aly El Gamal. "Efficient Training of Deep Classifiers for Wireless Source Identification using Test SNR Estimates". IEEE Wireless Communication Letters (WCL), Apr. 2020
- Xiwen Zhang, Tolunay Zeyfi, Shengtai Ju, Sharan Ramjee, Aly El Gamal, Yonina C. Eldar. "Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection". IEEE Signal Processing Advances in Wireless Communications (SPAWC), Jul. 2019
- Sharan Ramjee, Shengtai Ju, Diyu Yang, Xiaoyu Liu, Aly El Gamal, Yonina C. Eldar. "Fast Deep Learning for Automatic Modulation Classification". IEEE Machine Learning for Communications Emerging Technologies Initiatives (MLCETI), Jan. 2019
Patents
- Sharan Ramjee. "Systems and methods for monitoring network traffic to identify cyberattacks". US Patent Application US20250373638A1, 2025
Projects
Attention-Weighted Integrated Gradients for Target-Aware Cyberbullying Detection
2022Stanford University CS 329T: Trustworthy Machine Learning
A Machine Learning Driven Analysis of Private Equity Funding in Seed-Stage Healthcare Startups
2022Stanford University CS GENE225: Healthcare Venture Capital
AutoChef: Computer Vision for Automated Ingredient-to-Recipe Matching
2022Stanford University CS 329S: Machine Learning Systems Design
FLITE: Focusing LITE for Memory-Efficient Meta Learning
2021Stanford University CS 330: Deep Multi-Task and Meta Learning
AdaLA: Adapting Gradient Estimation by Looking Ahead
2021Stanford University CS 361: Engineering Design Optimization
Project Aerial: CAASM for Palo Alto Networks
2021Stanford University EE 205: Product Management
Context-Aware Skeleton-based Action Recognition via Spatial and Temporal Transformer Networks
2021Stanford University CS 231N: Convolutional Neural Networks for Visual Recognition
Unsupervised Neural Network Models of the Ventral Visual Stream
2021Stanford University CS 431: High-level Vision
Single-Image Stereo Depth Estimation using GANs
2021Stanford University CS 231A: Computer Vision
Histogram-Based Gradient Boosting Trees for Efficient Graph Learning with Wasserstein Embeddings
2021Stanford University CS 224W: Machine Learning with Graphs
Aspect-Target Sentiment Classification for Cyberbullying Detection
2021Stanford University CS 224N: Natural Language Processing with Deep Learning
Super-Resolution of Low-Quality Images for Realtime Pothole Detection
2020Stanford University CS 230: Deep Learning
Image Data Augmentation for Plant Leaf Disease Classification Using Neural Style Transfer
2020Stanford University CS 229: Machine Learning
Teaching Assistantships
Stanford University
Stanford, CAPurdue University
West Lafayette, INStudent Organizations
Stanford TreeHacks
Stanford, CA- Added documentation to and built the TreeHacks websites using JSDoc and JavaScript, improving the Stanford TreeHacks Hackathon experience as a part of the tech team
Purdue IEEE Computer Society (CSociety)
West Lafayette, IN- Led several teams in the completion of projects for the Purdue Spark Challenge, serving as the product manager for the Neural Style Transfer using Hardware Convolution project (Spring 2019) and as the head of the data analysis team for the QUEVIHN: Biomedical Robot project (Fall 2018)
Autonomous Motorsports Purdue (AMP)
West Lafayette, IN- Led the software team for the development of SLAM algorithms in preparation for the autonomous racing competition held every May, developing computer vision software using YOLOv2 for the Velodyne LiDAR and creating onboarding documents to get new recruits up to speed with the Robot Operating System (ROS) framework
Undergraduate Research Society of Purdue (UGRSP)
West Lafayette, IN- Served as the founding ambassador for the College of Engineering to help guide students with research, teaching students how to present their research, conduct literature reviews, and write journal/conference papers while engaging in outreach to recruit a diverse group of students passionate about research
Honors & Awards
AI Fellowship
Jun 2024Bain Capital Ventures
Best Product Opportunity Assessment (POA) Presentation
Nov 2021Stanford EE 205: Product Management
Tech Fellowship
Jun 2021Stanford TreeHacks
Honorable Mention
Jun 2020Stanford AIMI-HIAE COVID-19 Researchathon
Graduation with Highest Distinction
May 2020Purdue University
Ideas and Innovation Tournament (I2TC) Qualifier
Feb 2020Purdue University
Eta Kappa Nu (Beta Chapter) Outstanding Junior Scholarship
2019 – 2020Purdue University
Eli Shay Scholarship (3 times)
2017 – 2020Purdue University
Dean's List (8 times)
2016 – 2020Purdue University
Wolfram Alpha Award
Nov 2018MadHacks (University of Wisconsin-Madison)
Engineering Design Excellence Award
Dec 2016Purdue University
12th Board Exam Scholarship
May 2016DRDO
10th Board Exam Scholarship
May 2014DRDO