SW

Syed Wasif Murtaza Jafri

Available to hire

I am an AI Engineer and Full Stack Developer with 5+ years of experience building scalable applications, ML systems, and cloud-native pipelines.

About

I am an AI Engineer and Full Stack Developer with 5+ years of experience building scalable applications, ML systems, and cloud-native pipelines. I thrive in Agile environments and enjoy turning ideas into production-grade solutions.

I specialize in Python/JavaScript stacks, ML frameworks (TensorFlow, PyTorch), and cloud/docker/kubernetes, delivering robust AI integrations, dashboards, and data pipelines with a user-focused mindset.

  • 4 years' experience
  • Joined July 2025

Industry experience

  • Software & Internet
  • Financial Services
  • Professional Services
  • Computers & Electronics
  • Education
  • Media & Entertainment

Work experience· 16 roles

Master Thesis Student | Machine Learning & Data Science · IonosOct 2024 – Jul 2025 · 10 mos

Developed SeqTab-OCAN, a hybrid Transformer-GAN model for sequential and tabular anomaly detection, improving system reliability through process automation. Achieved an 11% F1 score improvement on production datasets and surpassed public benchmarks by 3.17%. Built a scalable ML pipeline including preprocessing, sequence modeling, and adversarial learning frameworks using TensorFlow. Provided comprehensive documentation and validation to ensure reproducibility and teamwork.

Master Thesis – ML & Deep Learning for Fraud Detection · University of HildesheimOct 2024 – Sep 2025 · 1 yr

Built SeqTab-OCAN, a Transformer-GAN hybrid model, achieving 92.01% F1-score in anomaly detection tasks. Surpassed VEWS benchmarks by 5.67% using adversarial learning and advanced evaluation metrics. Designed modular TensorFlow pipeline covering preprocessing, GAN training, and real-time inference.

Master Thesis – ML & Deep Learning for Fraud Detection · University of HildesheimOct 2024 – Sep 2025 · 1 yr

Built SeqTab-OCAN, a Transformer-GAN hybrid model, achieving 92.01% F1-score in anomaly detection tasks; Surpassed VEWS benchmarks by 5.67% using adversarial learning and advanced evaluation metrics; Designed modular TensorFlow pipeline covering preprocessing, GAN training, and real-time inference

Master Thesis – ML & Deep Learning for Fraud Detection · University of HildesheimOct 2024 – Sep 2025 · 1 yr
Data Engineer & Analyst · IonosNov 2023 – Jul 2025 · 1 yr 9 mos
Analytics Engineer · IonosNov 2023 – Sep 2025 · 1 yr 11 mos
Analytics Engineer · IonosNov 2023 – Sep 2025 · 1 yr 11 mos
Analytics Engineer · IonosNov 2023 – Sep 2025 · 1 yr 11 mos

Education

Master of Science · University of Hildesheim, Germany2019 – 2023
Bachelor of Engineering · Ned University, Pakistan2013 – 2017
Master of Science in Data Analytics · University of Hildesheim2030 – 2024

Certifications and awards· 27

AWS Practical Data Science2030 – 2025
Deep Learning Specialization2030 – 2025
Getting Started with TensorFlow2030 – 2025
Master of Science in Data Analytics2030 – 2025

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