• General Info
  • Experience
  • Education
  • Certificates
Bahram Khan
ML Developer
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Bahram Khan UTC+1
Available starting: March 1 Remote, Hybrid
Lead
46.25 $/hour 7400 $/month (160 hours/month)
rent from 1 month
General Info
Role
ML Developer
Grade
Lead
Key skills
Algorithms
TensorFlow
TensorFlow Models
TensorRT
PyTorch
Python 3
Python NumPY and Pandas
Computer Vision
Sklearn
AWS
GCP
Natural language
Languages
  • English - C1
  • Urdu - C2
Domains
Artificial Intelligence & Robotics
Big Data & Analytics
BIO
Bahram, currently based in Saarland, Germany, serves as Head of Technical Operations and AI, wielding a robust expertise in AI, machine learning, and computer vision. With a Master's in Computer Science from Universitรคt des Saarlandes and a Bachelor's from the National University of Computer and Emerging Sciences in Karachi, Pakistan, Bahram combines academic depth with practical acumen. His journey includes a pivotal role as Senior Machine Learning Engineer, where he led multifaceted computer vision projects, managed teams, and showcased technical prowess in client interactions. Notable achievements encompass the development of the Smart Vision platform, ML-based solutions for F1 car tracking, and tools for video copyright removal. Previous roles, such as his tenure, underscore his innovation in computer vision, enhancing driver safety through edge models and automated video processes. His contributions extend to academia with published research and accolades like the Certified TensorFlow Developer in 2021, showcasing his diverse skill set spanning Python, Java, TensorFlow, PyTorch, OpenCV, and AWS services. In essence, Bahram stands as a visionary leader, pioneering innovation in AI, machine learning, and computer vision, leaving an indelible mark on the field while nurturing the tech leaders of tomorrow.
Type of engagement
Specialist's location
Germany, Saarbruecken, UTC+1
Ready for relocation
No
Partner's location
United States country flag
Experience 2 ย (4 months)
Face Recognition
Role
ML Lead
Description of Project
Develop a State-of-the-art face recognition system built to identify and track non-caucasion faces
Technology Stack
Python, Tensorflow, AWS
Period
11.2023 โ€” 12.2023 (2 months)
Education 2
School
National University of Computer and Emerging Sciences
Degree
Bachelor's Degree
Field Of Study
Computer Science
Year of graduation
2019
Certificates
School
Google
Title
Tensorflow Certification
Date
2019

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