Summary
Overview
Work History
Education
Skills
Certification
Languages
Timeline
Generic

Murad Ali

Ilmenau

Summary

Experienced ML Engineer adept at developing, deploying and optimizing advanced models for object detection, segmentation and image classification using diverse ML algorithms including Supervised, Unsupervised and Reinforcement Learning. Proficient in deep learning frameworks, Natural Language Processing, Large Language Models and innovative problem solving. Eager to contribute dynamically, drive innovation and tackle complex challenges.

Overview

4
4
years of professional experience
1
1
Certification

Work History

AI (NLP) Intern

Incowia GmbH
05.2023 - Current
  • Leveraged Tesseract OCR to extract essential information such as addresses, IBAN, BIC and other relevant data from scanned PDF documents
  • Applied tokenization techniques to break down extracted text into meaningful units
  • Integrated BERT models and transformers into parsing pipeline to enhance the accuracy and efficiency of address parsing
  • BERT's contextual embeddings contributed to address parsing accuracy exceeding 90%
  • Orchestrated the entire workflow seamlessly using Docker container
  • Maintained version control and facilitated collaborative development using Git

STUDENT ASSISTANT (COMPUTER VISION)

Data-intensive Systems and Visualisation Group TU Ilmenau
04.2022 - 01.2023
  • Applied transfer learning techniques by leveraging pre-trained CNN models such as ResNet and fine-tuned them for Garlic Mustard image classification, improving the accuracy from 85% to 93%
  • Annotated and labeled 40k images for classification, ensuring high quality of labeled data
  • Performed data preprocessing and cleaning to avoid inconsistencies
  • Proficient in using Python, PyTorch, Keras, OpenCV, Scikit-Learn , Excel, Jupyter Notebook , CUDA and Anaconda

Machine Learning Intern

National Center of Artificial Intelligence, Peshawar
10.2019 - 05.2020
  • Built predictive models using machine learning techniques such as linear regression, decision trees and KNN for electric supply and demand systems
  • Developed ETL pipelines to extract, transform and load data
  • Conducted exploratory data analysis and visualization to gain insights into data patterns and relationships
  • Proficient in utilizing tools such as Excel, SQL, Python

Education

Master of Science - Research in Computer and Systems Engineering

Ilmenau University of Technology
Ilmenau
2020 - Aktuell

Bachelor of Science - Computer Systems Engineering

University of Engineering And Technology, Peshawar
Peshawar
2014 - 2018

Skills

  • Python, C, C
  • Matlab
  • NumPy, Pandas
  • PyTorch, TensorFlow, Scikit- Learn, SciPy, Keras, OpenCV
  • Matplotlib, Seaborn
  • NLTK, SpaCy, Polyglot
  • PyPDF, Pdfplumber
  • LLMs, BERT Model, Transformers
  • SQL, MySQL, PostgreSQL
  • Kubeflow, Mlflow
  • Docker, CI/CD, GitLab
  • Microsoft 365

Certification

  • AI for Medical Diagnosis (Coursera)
  • Introduction to LLMs (Google Cloud)
  • Transformer Models and BERT Model (Google Cloud)
  • Neural Networks and Deep Learning (Coursera)
  • Deep Learning with PyTorch (Coursera)
  • Introduction to TensorFlow for AI, ML and DL (Coursera)
  • Getting Started with TensorFlow 2 (Coursera)
  • ML Pipelines on Google Cloud (Coursera)
  • Cloud Data Engineering (Coursera)

Languages

English
Advanced (C1)
Urdu
Bilingual or Proficient (C2)
German
Elementary (A2)

Timeline

AI (NLP) Intern

Incowia GmbH
05.2023 - Current

STUDENT ASSISTANT (COMPUTER VISION)

Data-intensive Systems and Visualisation Group TU Ilmenau
04.2022 - 01.2023

Machine Learning Intern

National Center of Artificial Intelligence, Peshawar
10.2019 - 05.2020

Master of Science - Research in Computer and Systems Engineering

Ilmenau University of Technology
2020 - Aktuell

Bachelor of Science - Computer Systems Engineering

University of Engineering And Technology, Peshawar
2014 - 2018
Murad Ali