Arian Azmoudeh

Machine Learning Engineer

Summary

Accomplished Machine Learning Engineer with 10+ years of experience designing and implementing solutions across diverse industries. Skilled in turning complex problems into profitable opportunities using advanced ML, data science, robotics, and marketing insights. Adept at full-cycle project management, delivering strategic results from blueprint to market launch.

Proficient in leveraging cloud infrastructures and DevOps pipelines to streamline deployments and maintain high availability. A highly motivated professional committed to lifelong learning, technical excellence, and pushing AI’s boundaries. A dedicated self-starter with a strong work ethic and proven problem-solving ability, comfortable working both independently or within a team.

Professional Experience

Machine Learning Engineer

May 2023 - November 2025
Swiss Institute for Disruptive InnovationLugano, Switzerland
  • Developed AI solutions aligned with business goals and optimized multi-agent chatbots to improve accuracy and engagement.
  • Built and integrated AI agents into workflow automation platforms, enabling adaptive, data-driven automation for companies.
  • Collaborated on a robotic drone system (PaintX) to streamline painting processes via advanced computer vision and robotics.
  • Contributed to an AI Recruitment Platform enabling automated candidate sourcing and screening, reducing hiring time.
  • Migrated existing platform and AI solutions to a scalable cloud environment using DevOps best practices.
  • Moderated and presented 7+ professional webinars, and events focused on disruptive innovation and advanced AI technologies.

ML Engineer & Product Manager

February 2021 - March 2023
OlomaxTicino, Switzerland
  • Led the design and creation of the Holographic Assistant for banking and healthcare, elevating user engagement and experience.
  • Implemented advanced computer vision and NLP pipelines for emotion recognition and context-aware interactions.
  • Improved conversational systems using RAG and NLP methodologies, enhancing accuracy and adaptability.
  • Implemented cloud and DevOps strategies for secure, scalable AI deployment, optimizing containerization, and CI/CD pipelines.

Data Scientist & Project Manager

January 2019 - December 2020
Mars Planet TechnologiesBergamo, Italy
  • Developed and managed chatbot solutions tailored to space-related industries, helping companies explore new market opportunities.
  • Led cross-functional teams to implement AI-driven data analysis tools, improving operational efficiency in the space sector.
  • Applied statistical and predictive modeling techniques to analyze data and derive actionable insights for strategic decisions.
  • Leveraged predictive analytics to support strategic planning and enhance overall project outcomes.
  • Enhanced data quality through advanced feature engineering, data preprocessing, and data augmentation techniques.

Full Stack Developer & DevOps Engineer

September 2016 - January 2019
AriaHelpDeskDubai, United Arab Emirates
  • Developed and maintained full-stack web applications, integrating front-end interfaces with back-end services.
  • Automated deployment pipelines using Docker and Kubernetes, reducing release cycles and enhancing reliability.
  • Optimized APIs and database queries to boost performance, supporting large-scale traffic.
  • Collaborated with cross-functional teams to ensure alignment on technical requirements and organizational goals.
  • Investigated and integrated emerging ML algorithms, applying predictive modeling for actionable insights.

Data Scientist & Marketing Manager

April 2014 - June 2016
Teb GostarIstanbul, Turkey
  • Analyzed monthly active user data to inform and optimize marketing and product strategies.
  • Led the design and implementation of training and mentoring programs, reducing onboarding time for new hires by 50%.
  • Achieved a 2x increase in average app engagement time and reduced drop-off rates by 30% through targeted data analysis.
  • Identified and implemented strategies to reduce return rates by 10%, leading to significant cost savings.
  • Collaborated with cross-functional teams to drive data-driven decision-making and enhance business outcomes.

Full Stack Developer

March 2012 - February 2014
Padide Paydar Nikan
  • Developed and maintained financial payment, statement, and inventory systems, ensuring high performance and reliability.
  • Provided technical support to end-users, diagnosing and resolving software issues for smooth operation.
  • Optimized software performance through code refactoring and debugging, enhancing system efficiency.
  • Collaborated with cross-functional teams to design and implement new features, improving overall functionality.
  • Conducted software testing and validation to ensure robust, error-free deployments.

Skills and Expertise

Machine Learning & Data Science

Model Development, Computer Vision (OpenCV), NLP, Time Series Forecasting, Recommendation Systems, TensorFlow, PyTorch, scikit-learn, Keras

MLOps, DevOps & Cloud Computing

Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins), Kubeflow, MLflow, AWS, GCP, Azure, Terraform, Ansible, Git, Linux (Ubuntu), Windows Server

Programming & Frameworks

Python, C++, C#, PHP, Java, GOLANG, JavaScript, TypeScript, .NET, Django, Flask, FastAPI, Spring Boot, ASP.NET, Laravel, Next.js, React Native

Data Analysis & Visualization

Pandas, NumPy, Matplotlib, Seaborn, Plotly, Tableau, Power BI, A/B Testing, Exploratory Data Analysis

Databases & Data Infrastructure

PostgreSQL, MySQL, SQLite, MS SQL Server, MongoDB, Pinecone, Faiss, Chroma, Neo4j, Snowflake

Robotics & Navigation

ROS2, URDF, SLAM, Navigation2, Raspberry Pi, Jetson Nano, SolidWorks

Agentic AI & Workflow Automation

n8n, Make, Autogen Studio, Microsoft Copilot Studio, Google AI Studio, Multi-Agent Chatbots (AutoGen, CrewAI)

Chatbot Development & LLM Integration

RAG, LlamaIndex, LangChain, LangGraph, Context Retention, Personalized User Interactions

Digital Marketing & SEO

Email Marketing (MailChimp, Brevo), SEO/SEM, Google Ads, Google Analytics, HubSpot, Marketing Automation

Digital Media & Content Creation

Adobe Premiere Pro, After Effects, Photoshop, Audition, Unreal Engine, Clo3D, Marvelous Designer, Generative AI Art Tools

Project Management

Agile, Scrum, Jira, ClickUp, Monday.com, Conflict Resolution, Strategic Planning, Stakeholder Engagement

Projects

Advancing QA & Summarization with LLM

Enhanced chatbot performance by fine-tuning LLMs for QA and summarization.

LLMFine-tuningNLP

Computer Vision Suite

Emotion detection, gender/age ID, and object detection using YOLOv8 & HaarCascades.

YOLOv8OpenCVPython

Eco-Trading Platform

ML-driven market trend and sentiment analysis for optimized trading strategies.

MLSentiment AnalysisFinance

Mobile Robot Development

Built from scratch with URDF in ROS2; LiDAR + camera + SLAM + Nav2.

ROS2GazeboSLAM

Breast Cancer Detection

ML algorithm to identify breast cancer using clinical data.

MLHealthcareClassification

SalamatGram (COVID-19 Bot)

Location-based Telegram chatbot to find healthcare centers; identified first COVID cases via data.

PythonTelegram APIML

DelbarGram

Social platform connecting users by interests; scaled to over 2 million members.

Social NetworkScaling

Education

MSc Financial Engineering

In Progress

WorldQuant University

January 2025 - Present

MSc Computer Science (AI & ML)

Contemporary Technology University

January 2022 - June 2023

BSc Computer Science (Software Engineering)

Shamsipour Technical and Vocational Academy

September 2007 - May 2013

Contact

Get In Touch

Based in Istanbul, Turkey. Open to new opportunities in Machine Learning, Robotics, and Software Development.

Ready to Collaborate?

Whether you have a question, a project in mind, or just want to say hi, I'll try my best to get back to you!

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