Ivaylo Sieme
Cloud Architect & AI Engineer
Experience
Cloud Architect & AI Engineer
CmdScale
- Built fault-tolerant cloud infrastructure for AI-driven machine monitoring
- Implemented ML models for object detection & analysis
- Automated deployments with GitHub Actions, Helm, Kubernetes
- Tech stack: Python, TensorFlow, Kubernetes, AWS, Prometheus, GitHub Actions
AI Solutions Architect & Fullstack Developer
CmdScale
- Developed an intelligent real-time monitoring system for machines
- AI algorithms for real-time computer vision with TensorFlow
- Optimized ML pipelines & CI/CD processes
- Tech stack: Python, Java, TensorFlow, Angular, Kafka, AWS, Docker
Quant Developer & AI Engineer (Personal Projects)
- Developed AI-powered trading bots with reinforcement learning
- Backtested & deployed ML-based financial strategies
- Cloud-native trading platform with real-time analytics
- Tech stack: Python, SciPy, PyTorch, MongoDB, QuantConnect, Flask, Kubernetes
Full Stack & AI Developer for E-Commerce & Logistics
- Implemented scalable services with Python & microservices
- Developed APIs and data pipelines for real-time processes
- Built analytics tools for forecasting & decision support
- Tech stack: Python, PHP Symfony, ReactJS, RabbitMQ, AWS, Docker, Grafana
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Banking and Finance (7 years), Transportation (7 years), Retail (7 years), Information Technology (4 years), and Manufacturing (4 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Information Technology (13 years), Product Development (8.5 years), Research and Development (7 years), and Business Intelligence (7 years).
Summary
Over 15 years of experience as a Python developer focused on AI, data engineering, and cloud infrastructures
Deep expertise in building predictive models, object detection, and real-time data processing
Successful delivery of complex AI solutions in industry, finance, and logistics – including STRABAG, GEA, DHL, and hedge funds
C-level consulting: Translating technical requirements into strategic decisions
Strong communication skills in cross-functional teams, workshops, and stakeholder settings
Technical leadership in developing scalable cloud and AI architectures (AWS, Kubernetes, Terraform)
Certified in AI Engineering, Cloud Architecture as well as Entrepreneurship at Harvard Business School
Skills
Python
Tensorflow
Pytorch
Scipy
Numpy
Django
Kubernetes
Python Engineering & Software Architecture: Highly Scalable Systems, Rest Apis, Microservices, Clean Code (★★★★★)
Ai & Machine Learning (Including Object Detection, Deep Learning): Ml Pipelines, Predictive Systems, Tensorflow (★★★★★)
Cloud & Devops (Aws, Iac): Infrastructure Setup, Automation, Security, Cost-efficient Deployments (★★★★★)
Communication & Consulting: Clear Communication Of Technical Concepts To Management & Developer Levels, Experience In C-level Consulting & Stakeholder Management (★★★☆☆)
Quant & Algorithmic Trading: Backtesting, Portfolio Analysis, Ai-powered Financial Models (★★★★☆)
Real-time Systems: Event-driven Architectures & Processing Large Data Streams With Kafka & Rabbitmq (★★★★☆)
Frontend (Support Only): Creating Structured Backlogs, Facilitation, Workshops & Requirements Analysis (★★★☆☆)
Python (Django, Flask)
Tensorflow
Pytorch
Scipy
Numpy
Pandas
Fastapi
Aws (Lambda, S3, Rds, Cloudwatch)
Kubernetes
Docker
Terraform
Github Actions
Kafka
Rabbitmq
Postgresql
Mongodb
Prometheus
Grafana
Object Detection & Computer Vision (Opencv, Tensorflow, Cnns)
Predictive Modeling & Forecasting
Reinforcement Learning & Algorithmic Trading
Real-time Data Processing & Event-driven Architectures
Data Pipelines & Feature Engineering
Ci/cd
Infrastructure As Code
Monitoring
Zero-trust Security
Api Gateways
Languages
Certifications & licenses
Fundamentals of Software Architecture for Big Data
University of Colorado Boulder
Building Deep Learning Models with TensorFlow
IBM
AWS Cloud Technical Essentials AWS Cloud Solutions Architecting Solutions on AWS Building Data Lakes on AWS Architect Exam Prep: AWS Certified Solutions Architect – Associate
AWS
Introduction to DevOps
IBM
Introduction to Deep Learning & Neural Networks with Keras
IBM
Machine Learning with Python
IBM
Python and AI Subject Matter Expert Certificate
Skill-up Technologies
Django Application Development with SQL and Databases
IBM
Developing AI Applications with Python and Flask
IBM
Application Development using Microservices and Serverless
IBM
Python for Data Science & AI
IBM
Developing Back-End Apps with Node.js and Express
IBM
Introduction to Containers w/ Docker, Kubernetes & OpenShift
IBM
Developing Front-End Apps with React
IBM Skills Network
Introduction to Web Development with HTML, CSS, JavaScript
IBM
AI Engineering Professional
IBM
AWS Cloud SOlutions Architect Specialization
AWS
Deep Learning AI
IBM
Machine Learning with Python
IBM
Software Architecture for Big Data
Univ. of Colorado Boulder
Profile
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