Ritwik Raha

Data Scientist

https://talent.gravityer.com/ritwik-raha

learner.

google

Key Strengths

Strong foundational knowledge in Python for data science and machine learning, evidenced by multiple projects involving Keras, JAX, PyTorch, and TensorFlow.
Experience with various machine learning paradigms including image processing, generative models (PaliGemma, Generative Fill), and optimization (Particle Swarm Optimization).
Proficiency in using Jupyter Notebooks for experimentation and development, a common tool in data science.
Exposure to multi-backend deep learning frameworks (keras-core) indicates adaptability and understanding of underlying ML infrastructure.
Experience with Dockerfiles suggests an understanding of containerization for reproducible environments.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate a strong passion for learning and exploring diverse areas within data science and machine learning, including image processing, generative AI, and optimization. The variety of technologies (Python, Matlab, Kotlin, Shell, Dockerfile) indicates a broad interest. However, without information on team contributions or specific work experiences beyond a future role at Google, it is difficult to fully assess cultural fit. The projects are primarily personal, which limits insight into collaborative work styles.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

fine-tune-paligemma

May 24, 2024 – April 15, 2025

Notebooks for fine tuning pali gemma

View Project

nerf-keras-jax

February 16, 2024 – February 17, 2024

Implement the nerf tutorial with keras and jax

View Project

Open-Generative-Fill

February 8, 2024 – March 15, 2024

A repository for hacking Generative Fill with Open Source Tools

View Project

keras-core

April 9, 2023 – Present

A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

View Project

Cerebro

January 28, 2021 – January 29, 2021

An interactive web application built with streamlit to visualise EEG data

View Project

Cholti

May 29, 2020 – June 1, 2020

#30DaysOfKotlin

View Project

Adventures_in_Image_Processing_with_TF

August 28, 2019 – August 31, 2019

Repo for our talk at GDG Kolkata TensorFlow All Round event on 31st August.

View Project

Particle-Swarm-Optimization-using-Matlab

May 3, 2019 – May 13, 2019

Implementation of particle swarm optimization from scratch

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Introduction-to-Design-Thinking

April 11, 2019 – June 22, 2019

A space created to contain files and assets meant to be shared at the GDG Kolkata Cloud Study Jam at AOT

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Introduction-to-Image-Processing

April 7, 2019 – December 30, 2024

This repository is for anyone who is new to image processing and is super excited by the topic.

View Project

Key Strengths

Strong foundational knowledge in Python for data science and machine learning, evidenced by multiple projects involving Keras, JAX, PyTorch, and TensorFlow.
Experience with various machine learning paradigms including image processing, generative models (PaliGemma, Generative Fill), and optimization (Particle Swarm Optimization).
Proficiency in using Jupyter Notebooks for experimentation and development, a common tool in data science.
Exposure to multi-backend deep learning frameworks (keras-core) indicates adaptability and understanding of underlying ML infrastructure.
Experience with Dockerfiles suggests an understanding of containerization for reproducible environments.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Ritwik Raha

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit