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Who I Am: I’m an AI & Data Engineer with 2 years of experience building data automation systems, scalable ETL pipelines, and end-to-end ML workflows. My strength is combining data engineering, automation, and AI to create solutions that are simple, accurate, and production-ready. What I’m Good At: I design and automate ETL/ELT pipelines (Python, SQL, PySpark, dbt), model structured data for Snowflake/AWS, and ensure reliability through testing and data quality checks. I build ML systems using YOLOv8, CNNs, Random Forest, NLP pipelines and integrate LLMs using LangChain, Hugging Face, Chroma, and OpenAI APIs. I work smoothly with data, analytics, and business teams, adapt quickly to new tools, and simplify complex workflows through automation and clear thinking. What I’m Looking For: Roles in AI/ML Engineering or Data Engineering where I can build real-time data and AI systems, automate processes end-to-end, and contribute to a team that values clarity, ownership, and long-term growth. I want to grow with an organization, take responsibility from day one, and build intelligent systems that make work easier and more reliable.…Who I Am: I’m an AI & Data Engineer with 2 years of experience building data automation systems, scalable ETL pipelines, and end-to-end ML workflows. My strength is combining data engineering, automation, and AI to create solutions that are simple, accurate, and production-ready. What I’m Good At: I design and automate ETL/ELT pipelines (Python, SQL, PySpark, dbt), model structured data for Snowflake/AWS, and ensure reliability through testing and data quality checks. I build ML systems using YOLOv8, CNNs, Random Forest, NLP pipelines and integrate LLMs using LangChain, Hugging Face, Chroma, and OpenAI APIs. I work smoothly with data, analytics, and business teams, adapt quickly to new tools, and simplify complex workflows through automation and clear thinking. What I’m Looking For: Roles in AI/ML Engineering or Data Engineering where I can build real-time data and AI systems, automate processes end-to-end, and contribute to a team that values clarity, ownership, and long-term growth. I want to grow with an organization, take responsibility from day one, and build intelligent systems that make work easier and more reliable.

user1358139

AI Engineer, AI Prompt Engineer, Data Analyst, +1

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Who I Am: I’m an AI & Data Engineer with 2 years of experience building data automation systems, scalable ETL pipelines, and end-to-end ML workflows. My strength is combining data engineering, automation, and AI to create solutions that are simple, accurate, and production-ready. What I’m Good At: I design and automate ETL/ELT pipelines (Python, SQL, PySpark, dbt), model structured data for Snowflake/AWS, and ensure reliability through testing and data quality checks. I build ML systems using YOLOv8, CNNs, Random Forest, NLP pipelines and integrate LLMs using LangChain, Hugging Face, Chroma, and OpenAI APIs. I work smoothly with data, analytics, and business teams, adapt quickly to new tools, and simplify complex workflows through automation and clear thinking. What I’m Looking For: Roles in AI/ML Engineering or Data Engineering where I can build real-time data and AI systems, automate processes end-to-end, and contribute to a team that values clarity, ownership, and long-term growth. I want to grow with an organization, take responsibility from day one, and build intelligent systems that make work easier and more reliable.…Who I Am: I’m an AI & Data Engineer with 2 years of experience building data automation systems, scalable ETL pipelines, and end-to-end ML workflows. My strength is combining data engineering, automation, and AI to create solutions that are simple, accurate, and production-ready. What I’m Good At: I design and automate ETL/ELT pipelines (Python, SQL, PySpark, dbt), model structured data for Snowflake/AWS, and ensure reliability through testing and data quality checks. I build ML systems using YOLOv8, CNNs, Random Forest, NLP pipelines and integrate LLMs using LangChain, Hugging Face, Chroma, and OpenAI APIs. I work smoothly with data, analytics, and business teams, adapt quickly to new tools, and simplify complex workflows through automation and clear thinking. What I’m Looking For: Roles in AI/ML Engineering or Data Engineering where I can build real-time data and AI systems, automate processes end-to-end, and contribute to a team that values clarity, ownership, and long-term growth. I want to grow with an organization, take responsibility from day one, and build intelligent systems that make work easier and more reliable.

Available to hire

Berlin, Germany

Who I Am:

I’m an AI & Data Engineer with 2 years of experience building data automation systems, scalable ETL pipelines, and end-to-end ML workflows. My strength is combining data engineering, automation, and AI to create solutions that are simple, accurate, and production-ready.

What I’m Good At:

I design and automate ETL/ELT pipelines (Python, SQL, PySpark, dbt), model structured data for Snowflake/AWS, and ensure reliability through testing and data quality checks. I build ML systems using YOLOv8, CNNs, Random Forest, NLP pipelines and integrate LLMs using LangChain, Hugging Face, Chroma, and OpenAI APIs.
I work smoothly with data, analytics, and business teams, adapt quickly to new tools, and simplify complex workflows through automation and clear thinking.

What I’m Looking For:

Roles in AI/ML Engineering or Data Engineering where I can build real-time data and AI systems, automate processes end-to-end, and contribute to a team that values clarity, ownership, and long-term growth. I want to grow with an organization, take responsibility from day one, and build intelligent systems that make work easier and more reliable.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

German

Advanced

Work Experience

Automation Developer at Huawei Technologies

September 1, 2020 - August 31, 2022

Automated enterprise KPI reporting workflows using Python and PostgreSQL, reducing manual reporting effort by 70% and improving reporting accuracy. Built and maintained scalable PySpark and SQL-based ETL pipelines, reducing data preparation time by 30% and supporting timely business insights. Built an XGBoost-based regression system to predict employee performance trends. Developed interactive Tableau dashboards for leadership teams, enabling real-time performance monitoring and faster decision-making.

AI & Data Engineering Intern at SRH University of Applied Sciences Berlin

April 1, 2024 - September 30, 2024

Built end-to-end ML data pipelines using AWS S3, Snowflake, Spark, and dbt to support computer vision, predictive modeling, and analytical workloads. Developed and validated training datasets for YOLO v8 and CNN models, achieving 99% detection accuracy through optimized preprocessing, augmentation, and labeling workflows. Implemented automated ETL workflows using AWS Glue and Python, resulting in 60% faster data processing and 35% fewer pipeline failures for ML model training. Created transformation models, seeds, and data quality tests in dbt to ensure reliable, high-quality data for ML research.

AWS AI Coach Project at GitHub

November 1, 2025 - Present

AWS AI Coach – Self-Learning RAG Chatbot with YouTube Knowledge Ingestion. Built an AWS learning assistant using LangChain, OpenAI, and Hugging Face (MiniLM embeddings) with automated YouTube transcript ingestion, NLP chunking, and Chrome vector stores to retrieve knowledge.

LoRA-powered Intelligent Customer Review Analysis and Summarization at GitHub

September 1, 2025 - Present

End-to-end pipeline for review classification, product clustering, and generative summarization using LoRA-fine-tuned BERT, TF-IDF + KMeans for product grouping, and BART for summary generation. Delivered a Streamlit dashboard providing real-time insights and transforming raw reviews into actionable business intelligence.

Time-Aware Machine Learning for Daily Store Sales Price Prediction at GitHub

July 1, 2025 - Present

Built a complete forecasting pipeline for 640K+ retail records to improve pricing and demand predictions. Engineered temporal, cyclical, and lag-based features that significantly improved model performance and stability.

End-to-End Self-Driving Car Simulation using Deep Learning at GitHub

February 1, 2025 - Present

Developed deep learning models to simulate autonomous driving decisions in a virtual environment. Designed CNN-based steering control for lane and object detection, achieving 95% accuracy in controlled scenarios. Simulated autonomous driving behavior using multi-sensor fusion combining radar and camera data.