Initializing
Available for research collaboration · Bremen, Germany

Ahtasham Ilyas

|

MSc. Artificial Intelligence & Intelligent Systems at University of Bremen. Researcher and engineer focused on Deep Learning, Robotics and Computer Vision.

Explore Work Get in Touch
Scroll
About me

Building intelligent
systems that work.

I'm a researcher and engineer who transitioned from full-stack development to the scientific frontier of AI, Machine Learning & Robotics. After graduating with First Class Honors in Computer Science, I relocated to Bremen, Germany to pursue an MSc at the University of Bremen.

My current research focuses on Advanced Machine Learning, Perception(6D Pose Estimation), and Cognitive Robotics through the ACRAMbly master project. I believe the most important breakthroughs live at the intersection of software, hardware, and intelligence.

Previously I delivered 15+ production projects across Europe and the Middle East as a freelance developer, and held engineering roles at CandidateSide and Prime Missions (UK).

0
+
Projects Delivered
0
+
Certifications
0
+
Years Coding
0
+
Companies Worked
Expertise

What I work with

🧠

Machine Learning

Python / NumPy / Pandas90%
PyTorch / TensorFlow85%
Scikit-learn / XGBoost80%
CNNsTransformersHugging FaceBERT/GPT
🤖

Robotics & CV

Computer Vision / OpenCV80%
Autonomous Systems75%
Reinforcement Learning70%
YOLOROSRaspberry PiArduino
💻

Full-Stack / Dev

HTML / CSS / JavaScript90%
Laravel / PHP / Node.js80%
Flutter / Mobile65%
ReactMongoDBMySQLREST API
☁️

Cloud & DevOps

Git / GitHub85%
AWS / Azure75%
Docker / CI-CD70%
FirebaseSeleniumFigmaLinux
Work

Featured Projects

01

Machine Learning Research – University Papers

Research project analyzing university research papers using ML pipelines. NLP-based classification and topic extraction on academic datasets.

def analyze_papers(papers):
  results = ml_model.predict(papers)
  return process_results(results)
PythonTensorFlowNLP
→
02

Auto-listening & AI Job Reviewing – CandidateSide

Automated job-board scraper with GPT-powered review engine. Live at candidateside.com. Processes thousands of postings daily with 99.9% data accuracy.

def fetch_review_jobs(board):
  jobs = auto_listen(board)
  review = gpt_model.review(jobs)
  return process_reviews(review)
PythonSeleniumHuggingFaceLLM
→
03

Full-Stack RESTful Web Application

Responsive web application with a Node.js backend, RESTful API design, and cloud-native deployment on AWS using Docker and CI/CD pipelines.

const getData = async () => {
  const res = await fetch('/api/data')
  return res.json()
}
ReactNode.jsMongoDBAWS
→
04

ACRAMbly – Cognitive Robotics Master Project

Master project at University of Bremen. Building autonomous and intelligent robotic system combining perception, planning and action in the Autonomous & Intelligent Systems track.

class ACRAMbly(RobotAgent):
  def perceive(self, env):
    return self.model.infer(env)
PythonROSRLComputer Vision
→
05

Deep Learning – Image Segmentation Pipeline

PyTorch-based image segmentation pipeline using U-Net architecture for pixel-level classification. Certified by Coursera (6VNJ693QEB4Z).

model = UNet(in_channels=3, classes=10)
pred = model(image_tensor)
mask = pred.argmax(dim=1)
PyTorchU-NetSegmentation
→
Timeline

Work Experience

Oct 2025 – Present Latest

AICOR: Institute of Artificial Intelligence

Student Research Assistant

  • Robot Perception: Designing computer vision algorithms for object detection, instance segmentation, and multi-object 6D pose estimation from RGB-only input.
  • Geometrical Deep Learning: Leveraging graph-based and manifold learning approaches to model structured task representations, improve generalization, and enable robots to adapt in novel environments.
  • Scene Understanding & Cognitive Integration: Supporting mental/physics-based simulation pipelines that bridge visual perception with reasoning for robust and adaptive robotic behavior.
PyTorchGraph Neural NetworksROS2SE(3)-equivariant policiesCUDAEquiformer
Jun 2024 – Dec 2024

CandidateSide Recruiting

Python & Data Specialist

  • Managed large volumes of data with 99.9% accuracy using automated pipelines
  • Implemented web scraping solutions with Python and Selenium for job board monitoring
  • Analysed complex datasets using GPT-based LLM techniques for insights extraction
PythonSeleniumLLMExcelGoogle Suite
Nov 2023 – Jun 2024

Prime Missions (UK)

Full-Stack Web Developer

  • Developed responsive, user-friendly web interfaces with modern JS frameworks
  • Designed and built server-side components and RESTful APIs
  • Worked with cloud platforms (AWS) and implemented DevOps / CI-CD practices
Node.jsAWSDockerCI/CD
Jul 2023 – Aug 2023

Rising Codes

Laravel Developer

  • Designed and developed web applications using the Laravel PHP MVC framework
  • Bug fixing, performance optimisation, and API development
PHPLaravelRESTful APIMVC
Jul 2023 – Aug 2023

Special Communication Organisation (SCO)

Telecommunication Intern

  • Managed and maintained critical telecom infrastructure
  • Ensured reliability of GPON, PSTN and GSM telecommunications systems
GPONPSTNGSMFiber Optics
Sep 2018 – Present

Freelance Developer

Independent Contractor

  • Developed chatbots, ML tasks, websites and mobile apps for 15+ clients
  • Worked with Flutter, Python, Azure, Firebase across diverse project scopes
  • Built Shopify stores and integrated e-commerce automation solutions
FlutterPythonAzureFirebaseShopify
Academic Background

Education & Certifications

2024
– Present
Current

Master of Science – Artificial Intelligence and Intelligent Systems

University of Bremen · Bremen, Germany

Semester 1: F-AMAI (Advanced Methods of AI), F-AML (Advanced Machine Learning), F-IIS (Integrated Intelligent Systems), F-ATE (AI Algorithms: Theory & Engineering)

Semester 2: Specialisation in Machine Learning & Cognitive Robotics — Master Project: ACRAMbly, Autonomous & Intelligent Systems track.

2019
– 2023
First Class Honours

Bachelor of Science – Computer Science

Mirpur University of Science & Technology (MUST) · Pakistan

CGPA: 3.0 / 4.0  |  Marks: 70.85%  |  Rank: 5th / 86

Earned Dean's List recognition for academic excellence. Capstone research project on university research papers (GitHub | Thesis). Completed with First Class Honours.

Let's connect

Have an idea?
Let's build it.

I'm open to research collaborations, AI/ML projects, and scientific conversations. The fastest way to reach me:

✉ ahtasham-ilyas@uni-bremen.de in linkedin.com/in/ahtasham-ilyas ⌥ github.com/ahtashamilyas 📍 Bremen, Germany