Julian — ML Specialist

Julian
Julian ML Specialist
Europe
Experience: 18 years
Availability: Full-time
ML Specialist at DevTeam.Space since October 11, 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.
Expert In
Python
Also worked with
AWS
Docker
JavaScript
R
Redis
Skills and Qualifications

Languages

JavaScriptPythonRTypeScript

Frameworks

FastAPIFlaskPyTorch

Libraries/APIs

NumPyPandas

Tools

DockerGit

Platforms

AWS

Databases

MongoDBPostgreSQLRedisSQLite
Featured DevTeam.Space Projects
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.

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PostgreSQLPython
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.

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PostgreSQLPython
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.

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FastAPIPostgreSQLPython
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.

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PostgreSQLTypeScript
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