Lucas Habrich - Industrial Vision Quality-Control Platform

Q: Where is Lucas based?

Lucas is based in Tallinn, Estonia .

Q: What languages does Lucas speak?

Lucas speaks the following languages: English (Advanced), Estonian (Advanced), Polish (Advanced), Romanian (Elementary) .

Q: How many years of experience does Lucas have?

Lucas has at least 12 years of experience. During this time, Lucas has worked in at least 7 different roles and for 5 different companies . The average length of individual experience is 2 years and 9 months . Note that Lucas may not have shared all experience and actually has more experience.

Q: What is Lucas's latest experience?

Lucas's most recent position is Industrial Vision Quality-Control Platform .

Q: What companies has Lucas worked for in recent years?

In recent years, Lucas has worked for Iddo Software and Brainhub .

Q: Which industries is Lucas most experienced in?

Lucas is most experienced in industries like Information Technology , Advertising , and Manufacturing . Lucas also has some experience in Education .

Q: Which business areas is Lucas most experienced in?

Lucas is most experienced in business areas like Information Technology , Product Development , and Research and Development . Lucas also has some experience in Quality Assurance .

Q: Which industries has Lucas worked in recently?

Lucas has recently worked in industries like Information Technology , Manufacturing , and Education .

Q: Which business areas has Lucas worked in recently?

Lucas has recently worked in business areas like Information Technology , Product Development , and Research and Development .

Recommended expert

Tallinn, Estonia

Experience

Jan 2024 - Oct 2024

10 months

Industrial Vision Quality-Control Platform

Developed an AI-driven computer vision pipeline using PyTorch, TensorFlow, and ONNX Runtime for real-time defect detection, surface analysis, and anomaly classification from high-resolution imagery.
Implemented model drift detection, automated retraining, and version tracking using Azure ML and MLflow.
Improved quality-inspection accuracy and reduced manual inspection time by enabling explainability through SHAP and LIME.

Aug 2023 - Present

2 years 8 months

Romania

Senior AI Engineer

Iddo Software

Built a generative AI platform using LLMs and Transformer-based reasoning, enabling real-time interpretation of industrial telemetry and reducing false alerts by 32%.
Designed an agentic AI maintenance assistant using LangChain, RAG, and custom embeddings, enabling conversational troubleshooting for technicians.
Implemented streaming and ETL workflows (Kafka, Spark, Airflow) that enriched text-based logs and simulation narratives for downstream modeling.
Created multi-agent inference pipelines with LLM orchestration and optimized models using ONNX Runtime, improving latency by 45%.
Transitioned batch NLP pipelines into continuous-learning systems, enabling real-time adaptation and reinforcement learning loops.
Built deep learning pipelines supporting multi-class segmentation, anomaly detection, and surface-quality scoring using PyTorch and TensorFlow.
Implemented AI monitoring with drift detection, continuous evaluation, and automated retraining cycles to maintain model accuracy.
Mentored engineers on prompt engineering, LLM lifecycle, and agent-based system design, improving team AI maturity.

May 2022 - Feb 2023

10 months

Global Education Ecosystem Platform

Designed and deployed cloud-native AI and backend services using FastAPI, Python, and PostgreSQL for a learning ecosystem serving more than one million active students.
Added real-time collaboration and intelligent workflow capabilities using WebSockets, background workers, and data-driven recommendation logic.
Built scalable microservices with Docker and deployed them using Kubernetes and GitHub Actions–based CI workflows.
Integrated analytics services using Snowflake, Airflow, and custom processing pipelines.

Jan 2021 - Jul 2023

2 years 7 months

Poland

Senior AI / ML Developer

Brainhub

Designed advanced deep-learning architectures using PyTorch Lightning, Transformers, and sequence-modeling techniques for event prediction and command interpretation.
Built scalable FastAPI and Flask microservices to serve inference models powering 3D simulation dashboards and mission-control interfaces.
Orchestrated high-throughput streaming and ETL pipelines using Kafka, Spark, and Airflow to synchronize simulations and telemetry data.
Transformed legacy batch pipelines into continuous-learning systems, enabling reinforcement learning and online model adaptation.
Implemented model monitoring, drift detection, latency profiling, and automated rollback using Prometheus and MLflow.
Collaborated closely with robotics teams to integrate object detection, trajectory prediction, and optimization models into real-time simulation loops.
Mentored engineering teams on GPU scheduling, container orchestration, and CI/CD for ML pipelines.

Feb 2018 - Dec 2020

2 years 11 months

Poland

AI Developer

Codewise

Built ML pipelines using scikit-learn and TensorFlow to classify fraudulent traffic, bot behavior, and invalid conversions.
Engineered distributed processing pipelines using Kafka and Spark, handling tens of millions of events per hour.
Implemented data validation, drift detection, and A/B evaluation to ensure alignment between offline training and online performance.
Built monitoring systems tracking latency, accuracy decay, prediction throughput, and automated retraining triggers.

May 2016 - Jan 2018

1 year 9 months

Estonia

Python Backend & ML Engineer

Testlio

Designed Airflow-based pipelines processing 1M+ QA reports and device logs daily.
Built Django and Flask APIs exposing predictive scoring and test-recommendation models.
Implemented feature extraction pipelines using pandas, NumPy, and optimized data transformations.
Built analytics dashboards integrating PostgreSQL materialized views and stored procedures.
Transitioned experimental ML models from notebooks into production-grade Python packages.
Delivered internal workshops on model integration, API performance, and data governance.

Oct 2013 - Apr 2016

2 years 7 months

Estonia

Python Developer

Nortal

Developed backend services and Django REST APIs for lead processing, workflow automation, and CRM synchronization.
Implemented asynchronous pipelines using Celery and Redis, increasing throughput and reducing response latency.
Designed and optimized PostgreSQL schemas with indexing, partitioning, and query tuning to support large analytical datasets.
Integrated third-party CRM systems using REST endpoints, data-mapping logic, and secure authentication mechanisms.
Refactored Python modules to improve maintainability, backend performance, and service reliability.
Supported deployment workflows using Docker, Git, and environment-specific configuration practices.

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Information Technology, Advertising, Manufacturing, and Education.

Information Technology

Advertising

Manufacturing

Education

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Information Technology, Product Development, Research and Development, and Quality Assurance.

Information Technology

Product Development

Research and Development

Quality Assurance

Summary

Accomplished AI/ML Engineer and Python Backend Developer with 10+ years of experience delivering machine learning systems, backend architectures, and production-grade APIs. Expert in LLMs, NLP, computer vision, distributed data engineering, and cloud-native MLOps. Known for transforming complex requirements into scalable, high-performance solutions while mentoring teams and driving measurable results.

Skills

Llm & Agentic Ai Engineering

Llms (Gpt, Llama, Mistral)
Hugging Face Transformers
Langchain
Langgraph
Llamaindex
Multi-agent Systems (Crewai, Autogen)
Rag Architectures
Vector Databases (Faiss, Pinecone, Weaviate, Milvus)
Prompt Engineering
Llm Evaluation & Optimization
Lora/qlora Fine-tuning
Quantization (Gptq, Bitsandbytes)
Semantic Search
Knowledge Graphs

Machine Learning Engineering & Data Science

Pytorch
Tensorflow
Scikit-learn
Pandas
Numpy
Xgboost
Feature Engineering
Model Training & Tuning
Predictive Analytics
Time-series Forecasting
Recommender Systems
Nlp Pipelines
Statistical Modeling
Hybrid Retrieval (Bm25 + Embeddings)
Databricks
Snowflake

Mlops & Ai Infrastructure

Mlflow
Kubeflow
Weights & Biases
Langsmith
Fastapi
Flask
Rest Apis
Experiment Tracking
Model Registry
Ci/cd (Github Actions, Gitlab Ci)
Monitoring & Drift Detection
Gcp Vertex Ai

Languages

English

Advanced

Estonian

Advanced

Polish

Advanced

Romanian

Elementary

Education

Oct 2020 - Jun 2022

Tallinn University

Master of Arts · Computer Science · Tallinn, Estonia

Oct 2010 - Jun 2013

The University of Tartu

Bachelor of Arts · Computer Science · Tartu, Estonia

Statistics

Experience

Total positions 7

Experience in Information Technology 9.5 y

Avg length 1 y 11 m

Longest experience 2 y 10 m

Global Experience

Countries worked in 3 (Poland, Estonia, Romania)

Primary country Poland

Expertise

Recent roles Industrial Vision Quality-Control Platform, Senior AI Engineer, Global Education Ecosystem Platform

Main industries Information Technology, Advertising, Manufacturing

Main business areas Information Technology, Product Development, Research and Development

Qualifications

Highest degree Master

Profile

Created

December 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Lucas based?

Lucas is based in Tallinn, Estonia.

What languages does Lucas speak?

Lucas speaks the following languages: English (Advanced), Estonian (Advanced), Polish (Advanced), Romanian (Elementary).

How many years of experience does Lucas have?

Lucas has at least 12 years of experience. During this time, Lucas has worked in at least 7 different roles and for 5 different companies. The average length of individual experience is 2 years and 9 months. Note that Lucas may not have shared all experience and actually has more experience.

What roles would Lucas be best suited for?

Based on recent experience, Lucas would be well-suited for roles such as: Industrial Vision Quality-Control Platform, Senior AI Engineer, Global Education Ecosystem Platform.

What is Lucas's latest experience?

Lucas's most recent position is Industrial Vision Quality-Control Platform.

What companies has Lucas worked for in recent years?

In recent years, Lucas has worked for Iddo Software and Brainhub.

Which industries is Lucas most experienced in?

Lucas is most experienced in industries like Information Technology, Advertising, and Manufacturing. Lucas also has some experience in Education.

Which business areas is Lucas most experienced in?

Lucas is most experienced in business areas like Information Technology, Product Development, and Research and Development. Lucas also has some experience in Quality Assurance.

Which industries has Lucas worked in recently?

Lucas has recently worked in industries like Information Technology, Manufacturing, and Education.

Which business areas has Lucas worked in recently?

Lucas has recently worked in business areas like Information Technology, Product Development, and Research and Development.

What is Lucas's education?

Lucas holds a Master in Computer Science from Tallinn University and a Bachelor in Computer Science from The University of Tartu.

What is the availability of Lucas?

The availability of Lucas needs to be confirmed.

What is the rate of Lucas?

Lucas's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.