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.

Syed Wasif Murtaza Jafri

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.

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. 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.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent
German
Intermediate

Work Experience

Master Thesis Student | Machine Learning & Data Science at Ionos
October 31, 2024 - July 21, 2025
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.
Data Engineer & Analyst at Ionos
November 30, 2023 - July 21, 2025
Optimized ETL pipeline performance by 85% using Snowpark and advanced SQL, enabling speedy data insights for ML process optimizations. Designed robust ETL workflows transforming complex JSON data into structured formats for vital ML analytics. Integrated fraud detection datasets with automated CI/CD workflows, robust testing, and deployment automation. Delivered interactive KPI dashboards supporting fraud monitoring and business improvements.
Software Developer at Everest Systems Gmbh
December 31, 2021 - July 21, 2025
Developed a full-stack Expense Management application using TypeScript and React with modern component architecture. Deployed containerized microservices with Docker and orchestrated scalable infrastructure using Kubernetes.
Senior Software Engineer at Systems Limited
February 28, 2021 - July 21, 2025
Engineered scalable RESTful APIs and backend services using Python and Django for enterprise applications. Automated complex business workflows and integrated third-party systems to increase operational efficiency. Delivered features in Agile sprints and managed CI/CD pipelines with version-controlled database schemas.
Master Thesis – ML & Deep Learning for Fraud Detection at University of Hildesheim
October 1, 2024 - September 22, 2025
Built SeqTab-OCAN, a Transformer-GAN hybrid model for anomaly detection; achieved 92.01% F1-score. 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.
Analytics Engineer at Ionos
November 1, 2023 - September 22, 2025
Reduced fraud labeling time from 42 minutes to 6 minutes by optimizing SQL and Snowpark processing. Automated CI/CD pipelines transforming 4M+ nested JSONs into 42 analytics-ready Snowflake tables. Delivered production-grade Looker dashboards for anomaly detection across decision teams.
Software Developer at Everest Systems GmbH
December 1, 2021 - September 22, 2025
Developed a full-stack expense tracker using React + TypeScript, deployed via Docker/Kubernetes CI/CD. Implemented secure document upload and Jest test coverage to strengthen reliability and QA.
Senior Software Engineer at Systems Limited
February 1, 2021 - September 22, 2025
Designed Django microservices and REST APIs in Python, optimizing SQL schemas for scalability. Integrated enterprise apps with external APIs in Agile sprints, leveraging Git and automated CI/CD.
Master Thesis – ML & Deep Learning for Fraud Detection at University of Hildesheim
October 1, 2024 - September 22, 2025
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
Analytics Engineer at Ionos
November 1, 2023 - September 22, 2025
Reduced fraud labeling time from 42 mins → 6 mins by optimizing SQL and Snowpark processing; Automated CI/CD pipelines transforming 4M+ nested JSONs into 42 analytics-ready Snowflake tables; Delivered production-grade dashboards in Looker for anomaly detection across decision teams
Software Developer at Everest Systems GmbH
December 1, 2021 - September 22, 2025
Developed full-stack expense tracker with React + TypeScript, deployed via Docker/Kubernetes CI/CD; Implemented secure document upload and Jest test coverage to strengthen reliability and QA
Senior Software Engineer at Systems Limited
February 1, 2021 - September 22, 2025
Designed Django microservices and REST APIs in Python, optimizing SQL schemas for scalability; Integrated enterprise apps with external APIs in Agile sprints, leveraging Git and automated CI/CD
Master Thesis – ML & Deep Learning for Fraud Detection at University of Hildesheim
October 1, 2024 - September 22, 2025
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.
Analytics Engineer at Ionos
November 1, 2023 - September 22, 2025
Reduced fraud labeling time from 42 mins to 6 mins by optimizing SQL and Snowpark processing. Automated CI/CD pipelines transforming 4M+ nested JSONs into 42 analytics-ready Snowflake tables. Delivered production-grade dashboards in Looker for anomaly detection across decision teams.
Software Developer at Everest Systems GmbH
December 1, 2021 - September 22, 2025
Developed full-stack expense tracker with React + TypeScript, deployed via Docker/Kubernetes CI/CD. Implemented secure document upload and Jest test coverage to strengthen reliability and QA.
Senior Software Engineer at Systems Limited
February 1, 2021 - September 22, 2025
Designed Django microservices and REST APIs in Python, optimizing SQL schemas for scalability. Integrated enterprise apps with external APIs in Agile sprints, leveraging Git and automated CI/CD.

Education

Master of Science at University of Hildesheim, Germany
January 1, 2019 - December 31, 2023
Bachelor of Engineering at Ned University, Pakistan
January 1, 2013 - December 31, 2017
Master of Science in Data Analytics at University of Hildesheim
January 11, 2030 - October 1, 2024

Qualifications

AWS Practical Data Science
January 11, 2030 - July 21, 2025
Deep Learning Specialization
January 11, 2030 - July 21, 2025
Getting Started with TensorFlow
January 11, 2030 - July 21, 2025
Master of Science in Data Analytics
January 11, 2030 - September 22, 2025
Bachelor of Engineering in Computer Information Systems
January 11, 2030 - September 22, 2025
AWS Practical Data Science
January 11, 2030 - September 22, 2025
Deep Learning Specialization
January 11, 2030 - September 22, 2025
TensorFlow Specialization
January 11, 2030 - September 22, 2025
NLP with Deep Learning
January 11, 2030 - September 22, 2025
ML for Geospatial Analysis
January 11, 2030 - September 22, 2025
Minerva Kolleg Scholarship
January 11, 2030 - September 22, 2025
Prime Minister’s Laptop Award for Academic Excellence
January 11, 2030 - September 22, 2025
Master of Science in Data Analytics
January 11, 2030 - September 22, 2025
Bachelor of Engineering in Computer Information Systems
January 11, 2030 - September 22, 2025
AWS Practical Data Science
January 11, 2030 - September 22, 2025
Deep Learning Specialization
January 11, 2030 - September 22, 2025
TensorFlow Specialization
January 11, 2030 - September 22, 2025
NLP with Deep Learning
January 11, 2030 - September 22, 2025
ML for Geospatial Analysis
January 11, 2030 - September 22, 2025
Minerva Kolleg Scholarship
January 11, 2030 - September 22, 2025
Prime Minister’s Laptop Award for Academic Excellence
January 11, 2030 - September 22, 2025
Bachelor of Engineering in Computer Information Systems
January 11, 2030 - September 22, 2025
AWS Practical Data Science
January 11, 2030 - September 22, 2025
Deep Learning Specialization
January 11, 2030 - September 22, 2025
TensorFlow Specialization
January 11, 2030 - September 22, 2025
NLP with Deep Learning
January 11, 2030 - September 22, 2025
ML for Geospatial Analysis
January 11, 2030 - September 22, 2025

Industry Experience

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