Profilbild von Faisal Khalil Big Data engineer und KI-Experte aus Osnabrueck

Faisal Khalil

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Letztes Update: 23.03.2024

Big Data engineer und KI-Experte

Firma: UrTechPartner
Abschluss: promotion
Stunden-/Tagessatz: anzeigen
Sprachkenntnisse: deutsch (verhandlungssicher) | englisch (Muttersprache) | hindi (Muttersprache)

Dateianlagen

Khalil-Pipa2021_Article_IsDeep-LearningAndNaturalLangu.pdf
tf_project_writeup(final).pdf
Faisal-khalil-gen-1123_301123.pdf
khfa-cover-letter-certificates-en_301123.pdf
CV-2401-khfa-de_130224.pdf
coverLetter-2401-de_130224.pdf

Skills

#German+English#║DataScience/BigData║ Python║AWS║GCP║DeepL║NLP║Computer Vision║Keras║ TensorFlow║PyTorch║Robotic║LiDAR║3dPointClouds ║DeepLearning║Terraform║CI/CD║Snowflake║Spark Jira║Git║ROS║GridComputing║Linux║JavaScript║ ║HTML,CSS║django║streamlit║flask║REST-API║ Postman║Swagger║Postgres║bigQuery║DynamoDB║
I am about to complete my Ph.D. in cognitive science from the university Osnabruck. My main focus of Ph.D. was deep learning, natural language processing, and computer vision. (research papers published).
I have already worked on many AI and Deep learning projects:
Here are some of them
  1. scanned document recognition and digitalization with help of modern techniques like Tesseract, and computer vision.  Bulk scanned document processing and information extraction using Computer Vision and tesseract OCR a 1.5-year project (for Daimler at Stuttgart)
Main Tasks:
I have customized the computer Vision model to the recognized document instead of object recognition (That was purely my own innovation, and the idea worked really superb)
• Modifying prebuilt tesseract-OCR model to retrain and adapt with German language.
• Aligning the computer vision model and tesseract-OCR to the customer's specific document needs
• denoising, straightening, enhancing, and augmenting the customer's diverse set of documents
• meeting the 99% accuracy of information extraction of very complex scanned images.
• building and mapping database to show the extracted information at the front end.
• Building REST API to interact with web services
2 Is Deep-learning and Natural Language Processing Transcending the Financial Forecasting? Investigation Through Lens of News Analytic process. Tasks:
  • Very big data parsing using millions of different Text-based new articles around the globe, I have extract, aggregate, and sorted them, and ultimately converted them into a database using Bigquery.
  • I have fetched them using pandas into a machine learning environment (Keras) and built a sentiment index using the text information.
3-Financial distress predictions with deep learning and Natural Language processing: ` Tasks:
  • Collected thousands of parameters of bankruptcy and financial distress prediction of the USA-based big companies using Deep Learning Models.
  • Aim was to predict financial distress for big firms beforehand using financial many different financial parameters
4- Augmented Report Generation with Transformer-Based Language Deep Learning Model and Natural Language Processing
Tasks
  • Handling with the 18 billion text tokens to automatically generate small business reports
  • I have Used Transformer-based Neural network architecture is the most advanced one used by the open AI team.
  • Model is able to write artificial business-related text which is grammatically correct and without any human involved.
5- Vehicles' Tyre wall recognition system with Computer Vision | 3D Unets
6- Inventory Counting System with help of Drone and Computer vision
 

Projekthistorie

01/2020 - 04/2021
Automating Document recognition and show analytics
Wilde-IT (Automobil und Fahrzeugbau, 10-50 Mitarbeiter)

Bulk scanned document processing and information extraction using Computer Vision and tesseract ocr a 1.5 y ear project(for Daimler at Stuttgart)

Main Tasks:
• Modifying prebuilt tesseract-ocr model to retrain and
adapt with german language.
• Aligning the computer vision model and tessrerct-ocr to
the customer's specific document needs
• denoising,streginting,enhancing, and augmenting the
customer's diverse set of documents
• meeting the 99% accuracy of information extraction of very
complex scanned images.
• building and mapping database to show the extracted
information at the front end.
• Building REST API to interact with web services

Reisebereitschaft

Verfügbar in den Ländern Deutschland, Österreich und Schweiz
I am flexible for the medium level travelling. In terms of time, I am flexible as well. I have a complete two room office. In addition, I have very good own GPU based computing resources. I can offer that as well.

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Profilbild von Faisal Khalil Big Data engineer und KI-Experte aus Osnabrueck Big Data engineer und KI-Experte
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