DevTeam.Space Developer Profile, Julian

Julian

DevTeam.Space Developer Profile, Julian ML Specialist

Europe
Experience: 18 years
Availability: Full-time
Hire Julian
Europe
Experience: 18 years
Availability: Full-time
ML Specialist at DevTeam.Space since October 12, 2024

Julian is an expert developer with over 18 years of experience, specializing in developing architectures for complex projects and machine learning. He has deep knowledge in NLP, LLMs, cloud platforms, and microservice architecture.

Also worked with
AWS
Docker
R
Redis
Location:
Europe
Experience: 18 years
Availability: Full-time
Skills and Qualifications

Languages

Frameworks

Libraries/APIs

  • NumPy
  • Ollama
  • Pandas

Tools

  • Docker
  • Git

Platforms

  • AWS
  • Mac OSX
  • Ubuntu

Other

  • CI/CD
  • Microservices

Data bases

Featured DevTeam.Space Projects

NEC – Face, Gender, Age, Video Emotion Recognition System

Computer Vision

Security

Europe

AI Computer Vision Neural Network Python

A set of computer vision tools to accurately identify people in the video stream and analyze their movements and emotions.

Details
Natural Language Processing for a Book Publisher

Machine Learning

Ecommerce

Europe

Machine Learning Python

A natural language processing engine to classify ebooks by genre and customize social ads.

Details

Some of Julian’s Projects

Asserta

Developer

Asserta leverages a technology stack including Ollama, Python, and PostgreSQL, all running on an Ubuntu environment. This project is focused on developing a robust system for generating optimal tests across various programming languages, likely utilizing an API for integration. Julian orchestrated an intelligent test generation system that leverages LLMs through Ollama to automatically create optimal test cases across multiple programming languages.

Asserta leverages a technology stack including Ollama, Python, and PostgreSQL, all running on an Ubuntu environment. This project is focused on developing a robust system for generating optimal tests across various programming languages, likely utilizing an API for integration. Julian...

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API Ollama PostgreSQL Python Ubuntu

Everpot

Developer

Everpot aims to streamline the creation of technical documentation by employing tools like Ollama, Google AI-gen, and sophisticated prompting techniques. The underlying infrastructure includes Python, PostgreSQL, and Ubuntu, with an API facilitating its services for any product or service. Julian developed an AI-powered technical documentation platform backend that combines local LLM capabilities with Google AI. This generates comprehensive and accurate documentation through advanced prompting techniques and tested POC for a code-generation based on created specs.

Everpot aims to streamline the creation of technical documentation by employing tools like Ollama, Google AI-gen, and sophisticated prompting techniques. The underlying infrastructure includes Python, PostgreSQL, and Ubuntu, with an API facilitating its services for any product or...

Read more
API Ollama PostgreSQL Python Ubuntu

Evercoda

Developer

Evercoda is designed as a lightweight IDE with integrated AI capabilities to assist in code generation, built using FastAPI, Python, and Ollama. It relies on a PostgreSQL database and operates on an Ubuntu system, offering a streamlined coding environment. Julian created a lightweight IDE backend with embedded AI assistance that helps developers generate code and code-autocomplete efficiently using local LLM integration via Ollama and FastAPI.

Evercoda is designed as a lightweight IDE with integrated AI capabilities to assist in code generation, built using FastAPI, Python, and Ollama. It relies on a PostgreSQL database and operates on an Ubuntu system, offering a streamlined coding environment. Julian created a lightweight IDE...

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FastAPI Ollama PostgreSQL Python Ubuntu

TEC/POC

Developer

TEC/POC focuses on evaluating educational documents through both general and course-specific assessments, utilizing Google AI-gen and prompting strategies. The project is built upon a microservice architecture using TypeScript, with data management handled by NoSQL and PostgreSQL databases. Julian curated the creation of a sophisticated educational document evaluation system using microservices architecture that performs both general and course-by-course-specific assessments through advanced AI prompting strategies via Google AI gen models.

TEC/POC focuses on evaluating educational documents through both general and course-specific assessments, utilizing Google AI-gen and prompting strategies. The project is built upon a microservice architecture using TypeScript, with data management handled by NoSQL and PostgreSQL...

Read more
Microservices PostgreSQL TypeScript