Mostafa Jangali

Data Scientist

https://talent.gravityer.com/mostafa-jangali

Senior Full-Stack Software Engineer | Python/FastAPI & Java/Spring Boot | React/Next.js/TypeScript | Building Scalable AI-Integrated Products

University of Waterloo

Key Strengths

Demonstrated interest in Data Science and AI through projects like 'cryptosprite' and 'langchain-playground'.
Experience with Python, a core language for Data Science.
Participation in Kaggle, indicating an interest in data science competitions and practical application.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal exploration and learning, particularly in AI/ML and performance testing. The 'leetcode-journey' project suggests a focus on problem-solving. However, the project descriptions are brief, making it difficult to fully assess collaboration or broader team fit. The current role as 'Data Scientist' at the University of Waterloo aligns with the target role, but without further details on responsibilities, it's hard to gauge the depth of experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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

PerfTestEval

February 11, 2026 – Present

PerfTestEval is a framework for evaluating the quality and reliability of performance tests (microbenchmarks). It provides tools to analyze benchmarks for accuracy, reproducibility, coverage, and consistency, helping developers and researchers identify flawed or misleading tests before they influence performance decisions.

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mjangali94

February 6, 2026 – Present

Senior Full-Stack Software Engineer | Python/FastAPI & Java/Spring Boot | React/Next.js/TypeScript | Building Scalable AI-Integrated Products

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kaggle-journey

January 13, 2026 – Present

kaggle-journey — GitHub repository

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cryptosprite

December 8, 2025 – Present

AI-powered crypto trading assistant with real-time market insights and chatbot interface.

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langchain-playground

November 24, 2025 – Present

Hands-on practice with LangChain, including agents, tools, RAG pipelines, vector databases, embeddings, and AI workflows.

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leetcode-journey

November 24, 2025 – Present

This repository contains my personal collection of LeetCode solutions, written in Java and Python, with clean code, optimal approaches, and explanations.

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Batch-execution-benchmarks

February 10, 2025 – February 10, 2025

Batch-execution-benchmarks — GitHub repository

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PMT

September 27, 2022 – February 23, 2024

PerformanceMutationTesting

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JU2JMH-PMT-TSE-2021

September 27, 2021 – May 22, 2022

Replication package for TSE submission

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junit-to-jmh

November 4, 2019 – August 19, 2022

junit-to-jmh — GitHub repository

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Key Strengths

Demonstrated interest in Data Science and AI through projects like 'cryptosprite' and 'langchain-playground'.
Experience with Python, a core language for Data Science.
Participation in Kaggle, indicating an interest in data science competitions and practical application.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Mostafa Jangali

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit