Evidence before adjectives
A result should name its dataset, protocol, metric, and limitation. If the artifact is missing, the claim is not promoted.
How I work
About
I work at the boundary between modelling and systems: understanding what a model can support, then building the data, evaluation, and software path that makes that evidence useful.
Current focus
Applied machine learning, with the research behind it
Mohd Zamin Quadri
My recent work centres on uncertainty-aware graph neural network surrogates, calibration, conformal prediction, and selective review. Alongside that research, I build reference ML pipelines and grounded AI service prototypes to exercise the operational side of model development.
My Master's thesis, Uncertainty Quantification for Machine Learning Models in Transportation Policy Analysis, was submitted at Technical University of Munich. The degree was awarded in 2026.
Open to full-time Machine Learning and Applied AI roles, including roles across Machine Learning Engineering, Applied AI, reliable ML, scientific computing, GNNs, MLOps, and data/AI engineering.
Photographs
Where the work happened
Munich for the TUM years, Strasbourg for the European Youth Event. The last of the four is the European Parliament's own photograph and carries its credit.
Munich, during the TUM years. 
A Munich winter. 
Strasbourg, June 2023, for the European Youth Event. 
Taken at the European Youth Event 2023, at the Parliament in Strasbourg.European Union 2023, source: EP, Faces of Together.eu
Disciplines
The kinds of work
Grouped by discipline rather than run as a timeline. Each role carries the period it ran for, taken from the CV, and nothing beyond the approved record is inferred from a title.
Applied AI systems
Retrieval, verification and the engineering around a model rather than the model alone: storage that suits the question, and a service whose output can be checked against its own evidence.
AI Engineer (Working Student)
BP-IT Consulting & Solutions GmbH / Munich, Germany
Built four of the five services in a multilingual legal knowledge platform: a three-stage ingestion pipeline into relational, vector and graph storage, behind up to fourteen verification checks.
Numerical methods and scientific visualization
The discipline underneath the rest of this portfolio. Numerical behaviour, and making a computed result legible to the person who has to judge it.
Student Research Assistant / Programming and Visualization
Technical University of Munich / Munich, Germany
Aug 2023 - Mar 2024
Student Research Assistant, Numerical Methods and Scientific Visualization
Technical University of Munich / Munich, Germany
Oct 2022 - Dec 2022
Data and workflow engineering
Moving data between systems that were not designed to talk to each other, which is where most of the practical difficulty in an ML pipeline actually lives.
Intern, Programming of Workflows and Linking of Databases
AUDI AG / Ingolstadt, Germany
Jan 2023 - Jun 2023
Education and academic roles
Education
The approved public record includes TUM student research assistant titles in programming, visualization, and numerical methods. No duties beyond those titles are inferred.
Technical University of Munich
M.Sc. Mathematics in Science and Engineering
2026 / Munich, Germany
Technical University of Munich
Advanced Seminar, Mathematics of Data Science: Identification of Neural Networks
2025 / Munich, Germany
With Prof. Massimo Fornasier and Dr. Alessandro Scagliotti. Presented 24 January 2025.
Aligarh Muslim University
B.Sc. (Hons.) Mathematics
2021 / Aligarh, India
First Division
Certifications and languages
Certificates
Two lists that belong on a CV rather than in a case study, published here so the document and the pages agree about what the record contains.
Certifications
Neural Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Data Science: Python for Data Analysis Full Bootcamp
Introduction to SQL
Introduction to Python
Languages
English
German
Hindi / Urdu
Volunteering
Volunteering
Two entries, both longer-running than they look on a line. EYE 2023 is the European Parliament’s youth event and was held at the Parliament in Strasbourg; the certificate for it was issued by the delegation, not by the Parliament, and the entry says so.
Incoming Global Talent Volunteer
AIESEC in Munich / Munich, Germany
Jun 2022 - Present
Placement, onboarding and document coordination for international students and interns, and regular contact with host companies.
Delegate, #DiasporaVote! delegation
#DiasporaVote! / Strasbourg, France
Jun 2023
Took part in the European Youth Event (EYE 2023), the European Parliament's youth event, held at the Parliament in Strasbourg on 9 and 10 June 2023.
Principles
How I approach technical work
Reliability is a system property
Model quality includes calibration, failure modes, data contracts, monitoring boundaries, and the human decision around a prediction.
Small, inspectable interfaces
I prefer explicit pipeline stages, typed service contracts, deterministic fixtures, and tests that make assumptions visible.
Scope is part of the result
Research, coursework, prototypes, synthetic demonstrations, and deployed systems answer different questions and should be labelled accordingly.
Capabilities with proof
What I can contribute
Machine Learning & Research
Graph models, uncertainty quantification, calibration, experiments, and evaluation
Generative AI & Retrieval
Grounded retrieval, vector search, citation-aware responses, and local model integration
Backend & Data Systems
Typed APIs, data validation, reusable transformations, service boundaries, and traceable artifacts
MLOps & Engineering
Experiment tracking, promotion gates, model registries, containers, CI, and testable workflows
Data Science & Analytics
Scientific computing, sensitivity analysis, time series, diagnostics, and reproducible reporting
Next
The clearest version of this is the work itself.
Each case study states the problem, the evidence, and the limitation. The repository index shows the same standard applied to smaller projects.