FaizanAhmedRaza
About Me

Engineer. Builder. Problem Solver.

I don't just write code — I architect systems that create real business value.

I'm a Full-Stack Engineer specialised in AI/ML and automation, currently building AI-enabled automotive software at BMW AG in Munich. With a Master's in Autonomous Driving and a Bachelor's in IT, I work at the intersection of intelligent systems and practical engineering.

I specialise in turning complex technical challenges into production-grade systems — whether that's an AI assistant processing thousands of documents per day, an automation workflow eliminating 20 hours of manual work per week, or a full-stack SaaS platform serving tens of thousands of users.

I work in tight collaboration with clients — defining the problem first, designing the architecture, then shipping fast. My focus is always on business outcomes, not just technical deliverables.

What drives me? The moment a client says "this saved us hours every day" or "we couldn't have launched without this."

Currently at
BMW Group — Munich, Germany
Education
MEng Autonomous Driving, Coburg
Based in
Munich, Germany
Experience
4+ Years Full-Stack + AI/ML
Download CV
4+
Years of Experience
18+
Technologies
15+
Projects Shipped
3
Countries
Live · BMW Group

AI Anomaly Detection — CAN/CAN-FD

5-layer deep learning framework — Anomaly Transformer, Isolation Forest & Bayesian Laplace uncertainty quantification — detecting anomalies in multi-ECU automotive bus communication (BMU ↔ CCU). Processing 180+ GB of raw CAN trace data with streaming pipelines.

PyTorchDuckDBApache ParquetPlotly Dashpython-can

Core Technologies

React
Next.js
TypeScript
Node.js
NestJS
Python
PyTorch
LLMs
Computer Vision
C++
Docker
Kubernetes
AWS
PostgreSQL
GraphQL
ROS
Three.js
.NET Core

Experience

BM
Master's Thesis Student – AI-Driven Anomaly Detection in Automotive CAN Communication
BMW Group·Internship
May 2026 – Present·Munich, Bavaria, Germany·Hybrid
BM
Working Student – Early-Phase Vehicle Concepts
BMW Group·Work Study
Oct 2025 – Mar 2026·Munich, Bavaria, Germany·Hybrid
TH
Working Student – Computer Vision & AI Research
TH Nürnberg (Ohm-AI)·Work Study
Feb 2025 – Jul 2025·Nuremberg, Bavaria, Germany·Hybrid
Ko
Software Engineer
KoderLabs·Full-time
Nov 2022 – Oct 2024·Karachi, Sindh, Pakistan·On-site
SA
Full Stack Engineer
SAASFA·Full-time
Jan 2022 – Oct 2022·Karachi, Sindh, Pakistan·On-site
Vi
PHP Web Developer
Viftech Solutions (Pvt.) Ltd.·Full-time
Mar 2021 – Dec 2021·Karachi, Sindh, Pakistan·On-site

Education

Master of Engineering (MEng) · Autonomous Driving
Coburg University of Applied Sciences
Oct 2024 – Dec 2026·Coburg, Bavaria, Germany
Thesis: Automated Anomaly Detection in Multi-ECU CAN Communication — AI-driven framework for detecting anomalies in CAN/CAN-FD bus communication between Battery Management Unit and Charging Control Unit at BMW Group.
Bachelor of Science (BS) · Information Technology
Bahria University
Sep 2018 – Aug 2022·Karachi, Sindh, Pakistan
E-E-A-T & Publishing Standards

Editorial Philosophy & Research Methodology

Clear, transparent guidelines for all engineering research, tutorials, and technical insights published on faizanahmedraza.com.

First-Hand Production Experience

Every article and technical insight published on this site stems from real-world software architecture, autonomous systems engineering, or hands-on enterprise AI deployments — not recycled press releases or unverified theory.

Reproducible Code & Concrete Benchmarks

We prioritize verifiable technical accuracy: including real code implementations, architectural tradeoffs, failure modes, and empirical performance metrics rather than high-level hype.

Anti-AI-Slop & Editorial Integrity

Articles are authored directly by Faizan Ahmed Raza. We do not mass-produce uncurated AI summaries. Technical claims and citations are verified against academic research papers, official documentation, and primary sources.

Corrections & Ongoing Maintenance

Technology evolves rapidly. Publications are timestamped with both original publication and last-modified dates. Errata and community feedback are welcome and promptly incorporated.