Muhammad Abdullah
Linz
Summary
Machine Learning Engineer with experience building AI applications, including RAG-based solutions, chatbots using open-source LLMs, and object detection with YOLO models. Skilled in time-series forecasting and data trend analysis.
Overview
3
3
years of professional experience
Work History
Machine Learning Engineer I
Prixite
04.2023 - Current
- Developed custom chatbots leveraging advanced large language models (LLMs) such as Hugging Face models by transformers, OpenAI's GPT series, Anthropic's Claude, and Meta's LLaMA
- Worked on Coca Cola Project with YOLO models for accurate detection of pallets on conveyor belts
- Designed predictive models for automation using ARIMA and the Darts library
- Built cryptocurrency price monitoring tools using CoinMarketCap API
Junior Machine Learning Engineer
Musketeers Tech
08.2022 - 03.2023
- Engineered AI applications leveraging T5, BERT, GPT series, Whisper, and ViT models
- Created image synthesis tools using Stable Diffusion for enhanced visual content
- Developed QA systems for long documents using open-source LLMs
Trainee Data Scientist
Convergent Business Technologies
06.2022 - 08.2022
- Delivered comprehensive presentations on ML concepts from the Introduction to Statistical Learning
Education
Master of Science - Artificial Intelligence
Johannes Kepler University
Linz12-2026
Bachelor of Science - Computer Science
Fast Nuces
Islamabad12.2022
Skills
- Python
- C
- SQL
- PyTorch
- TensorFlow
- Keras
- OpenCV
- FastAPI
- Docker
- AWS
- YOLO
- OpenAI APIs
- Hugging Face Transformers
- PostgreSQL/PgVector
- PineCone Vector Database
Timeline
Machine Learning Engineer I
Prixite
04.2023 - Current
Junior Machine Learning Engineer
Musketeers Tech
08.2022 - 03.2023
Trainee Data Scientist
Convergent Business Technologies
06.2022 - 08.2022
Master of Science - Artificial Intelligence
Johannes Kepler University
Bachelor of Science - Computer Science
Fast Nuces
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