Hamza Abbasi

Hamza Abbasi

Principal Technical Architect

Building AI systems for high-stakes domains where accuracy, traceability, and reliability matter.

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Hi, I'm Hamza's AI assistant. Ask me anything about my interests, career, projects, or skills.

About

Principal Technical Architect at Automotive AI (AAI) GmbH

Over the past few years, I've worked across autonomous driving, safety-critical validation, and generative AI products. I specialize in end-to-end AI product development — from architecture design and prototyping to production deployment and evaluation.

I've led the architecture and development of platforms used by automotive stakeholders to validate ADAS functions, generate and execute driving scenarios, and improve the way engineers interact with complex technical standards.

Most recently, I've been building GenAI products end-to-end — RAG pipelines, fine-tuning (LoRA/QLoRA), evaluation workflows (online and offline), and retrieval optimization using metrics like Precision@K and Recall@K.

I enjoy working close to real users, turning messy requirements into scalable systems, and shipping products that people actually trust.

4+
Years
4+
Products
3.97
CGPA

Projects

Production AI systems for automotive compliance, legal tech, and autonomous driving.

CORA

Compliance & Regulatory Assistant

A GenAI assistant built to help homologation engineers navigate compliance documents and homologate vehicles faster. Features grounded question-answering with strong citation and traceability requirements.

Document understanding & structured guidance
Strong citation & traceability
Evaluation-driven accuracy improvements
LangChainRAGFastAPIMongoDBEUR-LexISO StandardsUN Regulations

OmniLegis

GenAI Legal Rights Platform

Mobile Apps

A GenAI-powered platform helping German B2C users understand their legal rights. Features production RAG pipelines with fine-tuned models for domain-specific legal accuracy.

Live on App Store & Google Play
Fine-tuned for legal domain accuracy
Precision@K & Recall@K evaluation
LangChainLangGraphLangSmithMongoDB VectorLoRAQLoRAGCP

ReplicaR

Scenario-Based Validation Platform

TÜV Certified

End-to-end scenario generation and validation platform for automated driving systems. Enables scenario-based validation aligned with ISO 34502 and ISO 34503 standards.

TÜV SÜD fit-for-purpose certified
ISO 34502 & ISO 34503 compliant
High-fidelity sensor simulation
OpenDRIVEOpenSCENARIOOSIPythonC++DockerKubernetes

GoldenAlgo

ADAS + Self-Driving Validation (Audi GmbH)

Large-scale Data

Comprehensive ADAS and self-driving validation platform developed in collaboration with Audi GmbH. Features computer vision pipelines, sensor fusion, and KPI benchmarking.

Multi-sensor data integration
3D perception & visual odometry
Production CV model monitoring
PythonC++LiDARComputer VisionSensor FusionCANGeoJSONGeoPandas

Experience

Building production AI systems for automotive and legal domains.

Principal Technical Architect

Automotive Artificial Intelligence (AAI) GmbH · Islamabad, Pakistan

Feb 2025 - PresentCurrent

CORA (Compliance & Regulatory Assistant)

GenAI for Homologation Engineers

  • Led the architecture and development of CORA, a GenAI assistant for navigating compliance documents
  • Managed and structured a large corpus of regulations from EUR-Lex, ISO, UN Regulations, and KBA
  • Designed LLM services for document understanding, grounded Q&A, and structured compliance guidance
  • Built RAG pipelines with strong citation, traceability, and reliability requirements
  • Developed evaluation-driven workflows to improve accuracy and reduce hallucinations

OmniLegis

GenAI Legal Rights Platform (Germany)

  • Led end-to-end architecture of a GenAI platform helping German B2C users understand legal rights
  • Built production RAG pipelines using LangChain and LangGraph with MongoDB vector indexes
  • Developed fine-tuning workflows using LoRA and QLoRA for domain-specific legal accuracy
  • Implemented online/offline evaluation pipelines using LangSmith with Precision@K, Recall@K metrics
  • Deployed and scaled the system on GCP, launched on App Store and Google Play Store
LangChainLangGraphLangSmithMongoDB VectorGCPRAGLoRAQLoRAFastAPI

AI and Platform Developer

Automotive Artificial Intelligence (AAI) GmbH · Islamabad, Pakistan

Oct 2021 - Jan 2025

ReplicaR

Scenario-Based Validation + TÜV SÜD Certified Platform

  • Contributed to design and end-to-end integration for scenario-based ADAS validation
  • Defined software architecture and supported ADAS Operational Design Domain (ODD) engineering
  • Developed critical workflows for generating and executing driving scenarios (ISO 34502, ISO 34503)
  • Worked with OpenDRIVE (XODR), OpenSCENARIO (XOSC), and OSI sensor simulation standards
  • Built CI/CD pipelines using Docker, GitHub, Jenkins, and Kubernetes
  • Helped drive technical decisions that led to TÜV SÜD fit-for-purpose certification

GoldenAlgo (Audi GmbH)

ADAS + Self-Driving Validation Platform

  • Function owner for multiple ADAS and self-driving validation features with Audi GmbH
  • Led large-scale data workflows including dataset handling, labeling, and specifications
  • Managed model retraining cycles and performance monitoring for production CV systems
  • Developed KPI and benchmarking pipelines in C++ for validation and quality monitoring
  • Integrated raw automotive data including CAN, ECU signals, LiDAR, and camera streams
  • Built Python pipelines for 3D perception, sensor fusion, and visual odometry
PythonC++OpenDRIVEOpenSCENARIOOSIDockerKubernetesJenkinsComputer VisionLiDARSensor Fusion

Skills

A comprehensive toolkit for building production AI systems.

Programming

PythonC++FastAPITypeScriptJavaScript

GenAI & LLMs

RAG PipelinesLangChainLangGraphLangSmithLoRA/QLoRAFine-tuningLLM Evaluation

AI/ML

Deep LearningComputer VisionSensor Fusion3D PerceptionVisual OdometryPyTorchTensorFlow

Automotive Standards

ISO 34502ISO 34503OpenDRIVE (XODR)OpenSCENARIO (XOSC)OSIADAS/ODD Engineering

Cloud & Infrastructure

GCPDockerKubernetesJenkinsGitHub ActionsCI/CD Pipelines

Data & Backend

MongoDBVector DatabasesGeoJSONGeoPandasApache AirflowREST APIs

Education

BE Electrical Engineering

FAST National University of Computer and Emerging Sciences

2017 – 2021 · Islamabad, Pakistan

  • Specialization in Computer System Engineering (Embedded Systems)
  • CGPA: 3.97 / 4.0 — Gold medal for academic excellence
  • Thesis: 3D Object and Scene Reconstruction using Kinect Fusion (Sensor Fusion)

A-Levels

Beaconhouse School System

2015 – 2017 · Quetta, Pakistan

    Contact

    Interested in collaboration or just want to discuss AI systems? I'd love to hear from you.

    For professional inquiries, LinkedIn is the fastest way to reach me.