Nikolaj Ivanov

Data Scientist

https://talent.gravityer.com/nikolaj-ivanov

StuttgartMember since June 27, 2026

Key Strengths

Demonstrated interest in AI/ML technologies through projects like 'langchain_crash_course', 'crewai_course', and 'MLOps_Thesis_Analysis'.
Experience with Python, a core language for Data Science.
Exposure to Docker and containerization, which is valuable for MLOps and deployment.
Familiarity with front-end technologies (JavaScript, TypeScript, React) and backend (FastAPI) suggests a full-stack perspective, potentially useful for deploying data products.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong initiative and self-learning drive, particularly in emerging AI/ML areas. The diversity of projects, from web development to MLOps, indicates a broad technical curiosity. However, without specific team-based project descriptions or work experience, it's difficult to fully assess cultural fit beyond individual drive.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or 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

langchain_crash_course

April 5, 2025 – April 22, 2025

langchain_crash_course — GitHub repository

View Project

docs

April 3, 2025 – April 3, 2025

docs — GitHub repository

View Project

Multi-Agent-System-mit-Chat-Frontend

April 2, 2025 – April 2, 2025

Multi-Agent-System-mit-Chat-Frontend — GitHub repository

View Project

Terminal-Sandbox-React-FastAPI-Docker-in-Docker-

April 1, 2025 – April 1, 2025

Terminal-Sandbox-React-FastAPI-Docker-in-Docker- — GitHub repository

View Project

crewai_course

April 1, 2025 – April 2, 2025

crewai_course — GitHub repository

View Project

factsbot_frontend

March 12, 2025 – March 26, 2025

factsbot_frontend — GitHub repository

View Project

MLOps_Thesis_Analysis

January 17, 2025 – January 17, 2025

MLOps_Thesis_Analysis — GitHub repository

View Project

crewai_langgraph

December 10, 2024 – December 10, 2024

crewai_langgraph — GitHub repository

View Project

Hubspot-Automation-LocalLLMs

July 25, 2024 – July 25, 2024

Hubspot-Automation-LocalLLMs — GitHub repository

View Project

IT-Projekt

April 9, 2021 – July 9, 2021

IT-Projekt — GitHub repository

View Project

Key Strengths

Demonstrated interest in AI/ML technologies through projects like 'langchain_crash_course', 'crewai_course', and 'MLOps_Thesis_Analysis'.
Experience with Python, a core language for Data Science.
Exposure to Docker and containerization, which is valuable for MLOps and deployment.
Familiarity with front-end technologies (JavaScript, TypeScript, React) and backend (FastAPI) suggests a full-stack perspective, potentially useful for deploying data products.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Nikolaj Ivanov

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit