My Resume

Ali Mojahed Khalilabad

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AI Engineer · Machine Learning Engineer · Software Engineer

📍 Freiburg, Germany  ·  ✉️ alimojahedpublic@gmail.com

  GitHub     LinkedIn

Summary

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An Engineer with 5+ years of experience building AI-enabled systems across computer vision, model optimization, MLOps, and distributed software platforms. Strong background in Python, LLMs, computer vision, event-driven system design, and production-oriented AI pipelines, with hands-on experience improving inference efficiency, increasing FPS for streaming pipelines, and automating manual workflows.

Technical Skills

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Professional Experience

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1. AI Engineer

   Oct 2024 – Mar 2026

   Rapid Solutions International · Part-time, Remote

   Python

   PyTorch

   Flask

   Kafka

   Langchain

   vLLM

   CUDA

   Qdrant

   Redis

   Elasticsearch

   • Developed AI-enabled solutions for warehouse monitoring
   • Led cross-functional engineering efforts across multiple teams
   • Designed agentic AI solutions to automate product quality control using LLMs and VLMs — reduced QC and product registration time by 50% with minimum human interaction
   • Designed event-driven systems for AI-powered workflows
   • Quantized models for deployment on embedded devices
   • Built MLOps pipelines to improve model monitoring and reliability
   • Implemented DevOps pipelines using GitHub Actions
   • Improved video-query performance by 3x through codec tuning and minimizing annotation-write overhead
   • Reduced end-to-end inference overhead by optimizing model invocation patterns in streaming pipelines
2. Backend Software Engineer

   Sep 2022 – Mar 2026

   Dotin Corporation

   Java

   Spring Boot

   Oracle DB

   Redis

   ActiveMQ

   Elasticsearch

   Langchain

   N8N

   • Built and maintained distributed backend services supporting high-volume business workflows
   • Migrated legacy Java EE services to Spring Boot
   • Applied event-driven architecture design patterns
   • Mentored junior developers and supported team knowledge sharing
   • Improved request handling capacity to support more than 900 TPS
   • Balanced bulk request workloads to improve throughput stability
   • Built a RAG pipeline for internal technical documentation and automated deployment checklist generation using N8N and LLMs — reducing manual review overhead
3. Computer Vision Research Assistant

   Aug 2023 – Sep 2025

   FUM: Robot Perception Lab (RPL) · Part-time

   Python

   PyTorch

   Nerfstudio

   ROS

   OpenCV

   • Conducted R&D on 3D computer vision and novel view synthesis methods including NeRF and Gaussian Splatting
   • Built experimental pipelines for scene understanding, rendering, and visual reconstruction
4. Computer Vision Research Assistant

   Jun 2021 – Aug 2023

   FUM Center of Advanced Rehabilitation and Robotics Research (FUM CARE) · Part-time

   C++

   Python

   PyTorch

   ROS

   Gazebo

   PyBullet

   • Developed computer vision solutions for industrial robot control
   • Led the computer vision team on a humanoid robot project
   • Trained robots in simulation using deep reinforcement learning methods
5. Software Developer

   Dec 2020 – Sep 2022

   Fanap Soft Corporation

   Java

   Spring Boot

   MQTT

   Oracle DB

   ActiveMQ

   • Developed a large-scale B2B notification system
   • Built IoT-enabled solutions for intelligent gas meter devices

Education

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1. MSc in Computer Science

   Apr 2026 – Present

   Albert-Ludwigs University of Freiburg
2. BSc in Computer Engineering

   Sep 2019 – Sep 2023

   Ferdowsi University of Mashhad

   GPA: 17.79 / 20

Projects

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1. Sport 724 ERP System

   Main Contributor

   Java

   Spring Boot

   SQL Server

   Elasticsearch

   Redis

   MinIO

   OpenTelemetry

   • Built a full ERP system covering CRM, sales, HRM, and warehouse management modules
   • Optimized database queries and improved performance by 8x through proper indexing and execution plan analysis
   • Implemented CI/CD pipelines using both GitHub Actions and GitLab CI
2. GoF Design Patterns Detector

   Main Contributor

   Java

   Built a Java-based tool that parses codebases, extracts class relationships, generates graph-based visualizations, and detects possible Gang of Four design patterns.

   View on GitHub
3. Cybathlon: Vision Assistance Race

   Developer

   Python

   OpenCV

   PyTorch

   ROS

   CUDA

   Developed AI-enabled solutions to help people with severe impairment or complete loss of vision perform daily activities.

4. Brandyshop Customer Assistance

   Main Contributor

   Python

   Langchain

   Qdrant

   OpenAI

   Flask

   Elasticsearch

   • Designed and developed a RAG system acting as a customer assistant and recommender — finds desired products based on user chats
   • Reduced manual ticket answering by 90%
   • Stored vector embeddings in Qdrant for semantic product search

Publications

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1. An LPWAN-Based Framework for Food Supply Chain Management Using Blockchain and Federated Multi-Task Learning

   2024

   IEEE — SCIoT 2024

   Python

   PyTorch

   Flower

   Trained multi-task learning models in a federated setting. Published at the 8th International Conference on Smart Cities, Internet of Things and Applications (SCIoT 2024).

   📄 View Paper

Languages

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