Anutosh Bhat

Data Scientist

https://www.opentalent.in/anutosh-bhat

GSoC 23' Python Software Foundation, GSoC 22' Sympy, Math and Compiler Design enthusiast . IIT Madras(2019 - 2024)

QuantStack

Key Strengths

Strong background in C++ and Python, essential for data science tooling and performance-critical applications.
Extensive experience with Jupyter Notebooks, indicating familiarity with interactive data analysis and development environments.
Demonstrated ability to work on complex compiler and interoperability projects (lpython, CppInterOp), showcasing deep technical problem-solving skills.
Experience with CMake suggests proficiency in build systems for large-scale C++ projects.
Active participation in open-source projects (GSoC proposals, xeus-cpp, lpython) indicates a proactive and collaborative mindset.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

FOSDEM_2026

January 29, 2026 – Present

FOSDEM_2026 — GitHub repository

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xeus-cpp-wasm

June 18, 2025 – September 22, 2025

xeus-cpp-wasm — GitHub repository

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clang-repl-wasm

November 6, 2024 – Present

Debugging xeus-cpp-lite

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GSoC-2023-Proposal-for-Python-Software-Foundation

June 1, 2023 – September 11, 2023

GSoC-2023-Proposal-for-Python-Software-Foundation — GitHub repository

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xeus-cpp

April 4, 2023 – Present

Jupyter kernel for the C++ programming language

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CppInterOp

January 24, 2023 – Present

A Clang-based C++ Interoperability Library

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xeus-zmq

September 30, 2022 – Present

ZeroMQ-based middleware for xeus

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GSoC-2022-Proposal-for-SymPy

April 12, 2022 – September 11, 2023

GSoC-2022-Proposal-for-SymPy — GitHub repository

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recipes

March 10, 2022 – Present

Recipes to build the packages for the emscripten-forge distribution

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lpython

December 29, 2021 – December 11, 2025

Python compiler

View Project

Key Strengths

Strong background in C++ and Python, essential for data science tooling and performance-critical applications.
Extensive experience with Jupyter Notebooks, indicating familiarity with interactive data analysis and development environments.
Demonstrated ability to work on complex compiler and interoperability projects (lpython, CppInterOp), showcasing deep technical problem-solving skills.
Experience with CMake suggests proficiency in build systems for large-scale C++ projects.
Active participation in open-source projects (GSoC proposals, xeus-cpp, lpython) indicates a proactive and collaborative mindset.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards open-source development and contributions to scientific computing tools (Jupyter, SymPy). This aligns well with a culture that values innovation, collaboration, and community engagement. The diversity of projects, from compilers to Jupyter kernels, indicates a broad technical curiosity. The current role as 'Data Scientist' at QuantStack directly aligns with the target role, suggesting a good fit for a data-science-focused environment.

Soft Skills & Operational Fit

The candidate's project history, particularly involvement in open-source initiatives and proposals, suggests a proactive attitude and potential for collaboration. However, without specific psychometric test results or interview data, it is difficult to fully assess soft skills like stress handling, teamwork, or communication clarity beyond what is inferred from project descriptions.

Anutosh Bhat

Key Strengths

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit