Stripe

Leading the space for financial accounts, transactions and end-to-end API flows for payouts on Stripe.

Product Lead

Responsible for building the core foundational layer of Global Accounts to support the future of Stripe by enabling our large enterprise customers, global creator economy segments, and multi-entity businesses to model, expand, and manage their businesses while Stripe takes care of their payment needs.

Microsoft

I worked with the Microsoft 365 Core Security group and was responsible for Access Control, Identity Management, Secrets Management and Security Controls for M365 datacenters.

Senior Product Manager

Program Manager 2

Amazon

I worked in Fraud Detection and Risk Management

Software Development Engineer

Stanford University

TA for Computational Models of the Neocortex (CS379C)
TA for Artificial Intelligence (CS221)
TA for Ordinary Differential Equations (CME102)

Graduate Teaching Assistant

Qualcomm

Software Engineering Intern - Corporate R&D

BOT Inc.

- Served as Co-founder for BOT Inc., a firm specialized in educating college students in the field of in Robotics.
- Designed and conducted hands-on workshops for over 200 students on the subjects of basic and advanced robotics. 
- Headed the growth endeavors for the company by marketing the products and services across schools and colleges.

Co Founder

Product@Stripe | Security@MSFT | SDE@AMZN | CS@Stanford 

Rohan Kamath was born somewhere and then he grew up (or so they say). Along the way, he attended a fancy university where he learned about important things like student loans and insurance. He then worked for a couple of famous people named Jeff and Satya. He has been birding since he was 6 years old, but his favorite bird is still a mean Tandoori Chicken.

When he’s not writing about himself in the third person, Rohan spends most of his time outdoors hiking and birding in the Pacific Northwest with his wife Pk and his puppy Albus. Rumor has it that he builds Products at Stripe although he not-so-secretly wishes he was a chef so that he could forever feed the fat kid inside him who refuses to grow up.

He is extremely passionate about learning new things and obsessively and consistently reads books daily. He also writes on Quora where his work has been read a few times, and on LinkedIn, where people think he's bonkers. He thinks he’s sarcastic and hilarious. However, most people find him obnoxious and annoying.

Rohan Kamath

Electronic Arts (EA)

Technical leadership for the central Data Science team providing live models for any of our game studios. 

Providing guidance on tools and technologies (Cloud offering evaluation, training for Data Scientists, federated data access in a multi cloud environment) and development practices (setup of environment, sharing practices, DAG and deployments ownership).

Tech Lead Data Scientist

Contributing as a Cloud Solutions architect specialized in ML applications as part of the Canadian National AI team

Won Executive video game challenge's 3rd prize at Microsoft worldwide hackathon 2022 as part of a team of 6 (teammates from XBOX)

#Spark #Bigdata #ML #Databricks #Azure #ResponsibleAI #growthmindset #GenAI

Cloud Solutions Architect - Data & AI

Ubisoft

▪︎ R&D Lead Data Scientist/ML Developer - NLP project around detection of harmful comments for in-game chat in collaboration led by the team at the User research lab. Involved in ML research & development and hiring/mentoring of research interns for the project
▪︎ DS internal consultant as part of the User research lab analytics team for our video game production teams - Data Scientist (recommender systems, CV, NLP) for video games (ACV, Rsix) : clustering on ACV players, gaming/shop recommender systems
▪︎ DS Hackathon initiatives : Improve employees networking with pairing algorithm using graph theory and embeddings (Women x Data event), Built Image Recommender and Image Analyser using Computer Vision (VGG-16 and Photo Captioning) with in-game photos.

Topics of interest :  ML engineering, Recommender Systems, Computer Vision, NLP/NLG

Tools: Airflow DAGS, Python/Scala, Spark, Tensorflow 2.3/Pytorch, plotly, Huggingface, Spacy, NLTK, pyviz, Jupyter Notebook/Zeppelin, Pycharm/VSCode, cloud services, dockerisation, API, MLops, CI/CD

Data Scientist

Moov AI

▪︎ Lead ML developer: Leading the standardization of development practices for ML projects.
▪︎ Mentoring Data Scientists into coding practices and knowledge sharing (meetups, ml engineering, career development).
▪︎ Data Engineering, Solution Architecture - ETL for analytics dashboard (good logging and dev practices).

ONF (Office National du Film du Canada) - ML developer
▪︎ Worked as part of a team to integrate a Natural Language Generation solution (GPT-2) for an immersive VR experience “Chomsky vs Chomsky” (AI based on the philosopher).

Tools: Spark, Python, TensorFlow 2.0, PyTorch, Docker, AWS,
GCP, CI/CD, GitHub actions

Data Scientist / ML Developer

Coveo

Project: Question Answering - Support documentation search feature: Smart Snippets (full end-to-end project ownership)

Architected and developed the first version of the Question Answering Product from conception to deployment. The goal of this product was to grant search pages the capacity to present a relevant answer directly at the top of the search page when a user performs a search. The scope of this V1 was document snippet retrieval, ie: the system will fetch a preprocessed snippet so that the user can see it at the top of the search page providing relevancy to the client’s content. The project was designed under a microservice approach with three main components: Data processing, Model Building and Model Serving, each one of them as Dockerized applications running independently.

The main components of this project were:

- Data processing: Extract documents from the index and process them into snippets into DynamoDB
- Model Building: Fetch the required data and train the model. Model is stored and made accessible to the next step through S3
- Model Serving: Fetch and load the model trained in the previous step and make it ready for inference

Full-stack development (Spark-Scala data processing, Python (builder and engine), Docker, Terraform/Kubernetes, AWS services). Developed the connectors in Python to interact with S3 and DynamoDB (boto3, moto) with appropriate unit and integration testing.

Machine Learning Developer

Orange

Artificial Intelligence Engineer

Big Data Analyst

🦄 7+ years xp in Big Data, Data Science
 🇫🇷 French and English Speaker
👩💻 MSc. Eng. CS / tech leadership / cloud architecture / data analytics / DS / ML Engineering / ETL / big data / AI for good / Explainable AI / sustainable tech

✍️ @ymaricar.medium.com
🎙https://ymaricar.carrd.co/
📊 https://github.com/jasminyas

DISCLAIMER - my posts are my own and do not reflect the opinion of past or present employers.

#leadership #coaching #consulting #decision-making #builder #productownership #innovation #inclusion #ideas #mindfultech #machinelearning #ai #analytics #bigdata #videogames #ux #nlp #science #art #aiforgood #thoughtleadership

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