Software engineer and AI researcher with hands-on experience in developing and deploying machine learning and deep learning models, specializing in explainable AI, sequence modeling, and real-time data pipelines. Currently pursuing a PhD at HAW Hamburg, focusing on neuro-symbolic reinforcement learning frameworks and adaptive decision systems, with expertise in integrating symbolic rules, multi-agent systems, and explainable AI for high-stakes, real-time environments. Experienced in Python, PyTorch, ONNX, Pandas, and RESTful API development, with a strong track record of building scalable, secure, and high-performance backend systems. My work spans anomaly detection, behavioral modeling, real-time data visualization, and AI explainability, complemented by a solid foundation in software engineering, cloud deployment (AWS, Docker), and full-stack application development. I bring a structured, detail-oriented, and collaborative approach well-suited for designing, implementing, and deploying robust AI solutions in dynamic, contract-based projects.

Maham Fatima

Software engineer and AI researcher with hands-on experience in developing and deploying machine learning and deep learning models, specializing in explainable AI, sequence modeling, and real-time data pipelines. Currently pursuing a PhD at HAW Hamburg, focusing on neuro-symbolic reinforcement learning frameworks and adaptive decision systems, with expertise in integrating symbolic rules, multi-agent systems, and explainable AI for high-stakes, real-time environments. Experienced in Python, PyTorch, ONNX, Pandas, and RESTful API development, with a strong track record of building scalable, secure, and high-performance backend systems. My work spans anomaly detection, behavioral modeling, real-time data visualization, and AI explainability, complemented by a solid foundation in software engineering, cloud deployment (AWS, Docker), and full-stack application development. I bring a structured, detail-oriented, and collaborative approach well-suited for designing, implementing, and deploying robust AI solutions in dynamic, contract-based projects.

Available to hire

Software engineer and AI researcher with hands-on experience in developing and deploying machine learning and deep learning models, specializing in explainable AI, sequence modeling, and real-time data pipelines. Currently pursuing a PhD at HAW Hamburg, focusing on neuro-symbolic reinforcement learning frameworks and adaptive decision systems, with expertise in integrating symbolic rules, multi-agent systems, and explainable AI for high-stakes, real-time environments. Experienced in Python, PyTorch, ONNX, Pandas, and RESTful API development, with a strong track record of building scalable, secure, and high-performance backend systems. My work spans anomaly detection, behavioral modeling, real-time data visualization, and AI explainability, complemented by a solid foundation in software engineering, cloud deployment (AWS, Docker), and full-stack application development. I bring a structured, detail-oriented, and collaborative approach well-suited for designing, implementing, and deploying robust AI solutions in dynamic, contract-based projects.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
German
Advanced

Work Experience

Master Thesis Researcher at SONY Europe
July 1, 2025 - October 15, 2025
Designed a synchronized acquisition pipeline for facial multispectral imaging and ground-truth PPG signals; enabling dataset creation, timestamp alignment, and validation. Adapted and optimized the PhysNet deep learning model for 3-channel RGB and multi-band hyperspectral inputs, including architectural modifications and experimental tuning across multiple datasets. Conducted experiments comparing RGB and multispectral imaging, involving preprocessing, dimensionality reduction, augmentation, and signal post-processing. Led spectral band selection and generalization analysis, showing that optimized bands and augmentation improve accuracy while supporting remote health monitoring and fairness across skin tones.
Python Researcher at HAW Hamburg Python Lab
February 1, 2024 - October 15, 2025
Built a data ingestion pipeline and implemented real-time data visualization using Grafana and InfluxDB. Processed and analyzed raw data with Pandas and NumPy to provide actionable insights.
Software Engineer at Alfain Technologies
March 1, 2023 - October 15, 2025
Developed and deployed scalable RESTful APIs with Node.js, integrating JWT/RBAC for secure access. Integrated Twilio for SMS and AWS S3 for storage, optimizing backend performance for real-time applications.
PhD Researcher at HAW Hamburg
October 1, 2025 - November 6, 2025
Developing a neuro-symbolic reinforcement learning framework for adaptive medical triage in mass casualty incidents. Integrating symbolic triage rules, multi-agent RL, and explainable AI for real-time decision-making.
Master Thesis Researcher at SONY Europe
July 31, 2025 - July 31, 2025
Designed hyperspectral imaging acquisition pipeline for PPG-based heart rate estimation. Adapted PhysNet deep learning model to multi-band inputs, reducing error from 16 bpm (RGB) to 5 bpm.
Python Researcher at HAW Hamburg Python Lab
February 29, 2024 - February 29, 2024
Built a data ingestion pipeline and implemented real-time data visualization using Grafana and InfluxDB. Processed and analyzed raw data with Pandas and NumPy to provide actionable insights.
Software Engineer at Alfain Technologies
March 31, 2023 - March 31, 2023
Developed and deployed scalable RESTful APIs with Node.js, integrating JWT/RBAC for secure access. Optimized backend performance for real-time apps.

Education

Master's Degree at Erasmus Mundus Joint Master’s in Medical Technology and Healthcare Business (multi-country program)
October 1, 2023 - September 30, 2025
B.Sc. in Computer Engineering at University of Engineering and Technology, Lahore
October 1, 2018 - October 1, 2022
Erasmus Mundus Master's in Medical Technology and Healthcare Business at HAW Hamburg, Polytechnic Institute of Porto, University of Lille
October 1, 2023 - September 30, 2025
B.Sc. in Computer Engineering at University of Engineering and Technology, Lahore
October 1, 2018 - October 1, 2022

Qualifications

Erasmus Mundus Joint Master’s in Medical Technology and Healthcare Business
October 1, 2023 - September 30, 2025
Université Franco-Allemande (UFA) Scholarship
January 1, 2023 - September 30, 2025
Erasmus+ Mobility Grant
January 1, 2023 - December 31, 2023
Erasmus+ Mobility Grant
January 1, 2023 - January 1, 2025
UFA Scholarship
January 1, 2023 - January 1, 2025

Industry Experience

Healthcare, Life Sciences, Software & Internet, Professional Services