Meet Adem:
Your dedicated software engineering expert

As a dynamic freelance software engineer, I transform your vision into reality by leveraging cutting-edge technologies and a customer-centric approach. Expert in real-time video analysis, API design, and resource optimization, I create seamless frontend experiences using JavaScript and React. My proficiency in Python, Docker, Kubernetes, FastAPI, TensorFlow, PyTorch, and AWS guarantees scalable and reliable solutions.

Let's collaborate and elevate your project with impeccable code quality and execution.

Reach out today!
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Work experiences

Staff MLOPS Engineer

Integral Ad Science • Employee • Paris, France
Oct. 2024 - Now

Development and maintenance of the Total Media Quality (TMQ) solution: a real-time data processing pipeline for online advertising.

  • Familiarized with the existing deployment stack and mechanisms for generating and deploying Machine Learning models
  • Identified bottlenecks (GPU computations) and isolated them into a dedicated service
  • Designed a 'model serving'-oriented architecture to optimize GPU resource scaling
  • Implemented a 'model serving' service based on Nvidia Triton
  • Aligned CI/CD with IAS deployment constraints and set up functional/integration tests
  • Improved observability and monitoring using Prometheus and Grafana
  • Proposed alerting solution for performance and latency anomalies using Grafana Alerting
Docker Docker Compose Kubernetes AWS Jenkins Python FastAPI PyTorch Nvidia Triton TensorFlow Databricks PostgreSQL Kafka MLFlow Prometheus Grafana

Full Stack Engineer - Web Application

Ondorse • Freelance • Paris, France
May 2024 - July 2024

Development and maintenance of the Ondorse service: the KYB (Know Your Business) SaaS for companies.

  • Familiarized with the tool and existing codebase for KYB compliance services
  • Added new validation steps for enhanced business verification processes
  • Implemented comprehensive UI features for improved user experience
  • Applied Clean Architecture principles and Test Driven Development practices
Docker Compose Docker Python FastAPI PostgreSQL Alembic React TypeScript Chakra UI TanStack Celery Clean Architecture TDD

Full Stack Engineer - Mobile

FoxIntelligence (NielsenIQ) • Freelance • Paris, France
Oct. 2023 - April 2024

Development of a mobile receipt collection application: ScanRewards.

  • Took over foundations of existing mobile application developed by founders
  • Added receipt scanning features using phone camera with OCR technology
  • Created comprehensive image processing pipeline to extract receipt information
  • Integrated loyalty system for user engagement and retention
  • Successfully deployed mobile application to Apple and Android app stores
  • Developed back office system for managing users and scanned receipts
  • Implemented usage tracking and user feedback systems for continuous improvement
Docker PHP MySQL HTML CSS Vanilla JavaScript Mobile Development OCR Image Processing

Senior Backend Engineer

AnotherBrain • Freelance • Paris, France
Nov. 2022 - March 2023

Within the 'Business Unit' team, worked on several topics around the 'Phosphor Quality' solution.

  • Configured and deployed complete monitoring stack (Exporters, Prometheus, Grafana, AlertManager)
  • Designed data retention and long-term storage solution for production metrics
  • Created Python3.x service template with multiple targets and smooth development experience using Dev Containers
  • Implemented fully functional code quality checkers suite (isort, black, pylint, mypy)
  • Advanced usage of poetry for dependency management and project configuration
  • Optimized multi-stage containerization with Docker for efficient deployments
  • Set up PoC for 'CrystalClear' quality control solution with docker services architecture
Python Poetry Docker Docker Compose Edge Computing FastAPI Prometheus Grafana Dev Containers Code Quality Tools

Senior Software Engineer

Context • Freelance • Paris, France
Sept. 2022 - Oct. 2022

Tests around the Python Ray framework for integration in Context SaaS video stream ingestion service.

  • Studied Ray framework documentation and components for distributed computing
  • Set up local development environment for Ray with GPU optimization
  • Implemented video ingestion pipeline using Ray tasks and actors for scalability
  • Integrated code quality tools: pylint, mypy for linting and type checking
  • Set up pre-commit hooks for automatic code formatting using black
  • Configured GitHub Actions for automated code quality checks
  • Successfully migrated existing services to poetry for improved dependency management
MLOps Ray Framework TensorFlow PyTorch Python Poetry GitHub Actions Video Streaming Docker AWS Kubernetes FastAPI Code Quality

Software Engineer

Boxy (ex Storelift) • Employee • Ivry-sur-Seine, France
Feb. 2021 - July 2022

Within the 'Store-AI' team, design and improvement of applications for the 'Boxy' store: a fully autonomous connected store.

  • Upgraded existing applications with real-time event tracking for customer behavior monitoring
  • Implemented comprehensive logging and reporting functionality for business intelligence
  • Integrated temperature sensors and developed IoT application for cloud-based temperature monitoring
  • Designed and planned new microservices architecture for Boxy v2 with industry-standard practices
  • Selected and integrated robust technologies to support scalable autonomous store operations
  • Established comprehensive code quality procedures: linting, formatting, unit testing, and static type checking
  • Automated quality checks using GitLab CI/CD pipelines and Git-Hooks for continuous integration
GitLab Git Hooks CI/CD IoT Python Kubernetes Fluentd Kibana REST API Arduino Raspberry Pi USB Serial Prometheus Grafana RabbitMQ Microservices MQTT Clean Code PyTest Pylint Yapf MyPy

Software Engineer

Context • Employee • Paris, France
March 2017 - Feb. 2021

Design and development of software solutions around real-time video analysis using deep learning algorithms.

  • Created comprehensive internal tool for managing databases of images and videos with user-friendly interface
  • Implemented efficient database system for media file storage, retrieval, and metadata management
  • Upgraded annotation tools with modern technologies and established code review processes
  • Designed and built robust REST API for video upload and analysis with celebrity, logo, and object detection
  • Implemented API versioning and blue-green deployment strategies for zero-downtime updates
  • Developed client dashboard with advanced data visualization for video analytics and statistics
  • Established comprehensive testing framework with PyTest for API and Jest for frontend
  • Refactored core 'Compute' service for deep learning model loading and video processing
  • Successfully transitioned to microservices architecture with Kafka messaging for inter-service communication
  • Deployed scalable solution on Kubernetes cluster with appropriate addons for production workloads
Docker Compose Jenkins MLOps PyTorch Docker Python AWS REST API TypeScript Kubernetes Angular Django PostgreSQL React Redux FastAPI Lambda EC2 PyTest Jest Kafka Deep Learning Computer Vision Microservices

My education

Master 2

Image and Sound for Intelligent Systems

Pierre and Marie Curie University (Paris VI) • With Honors • June 2016
  • Haptics - Sense perception, haptic systems
  • Virtual Reality - Virtual environment design, physics management, HCI
  • Pattern Recognition - Coding chain, regression, neural networks, SVM
  • Image Processing - Image descriptors, motion detection and tracking
  • Sound Processing - SF model, LPC, noise suppression, source localization
  • Artificial Intelligence - Agents, state space search algorithms, planning

Master 1

Robotics Engineering and Intelligent Systems

Pierre and Marie Curie University (Paris VI) • With High Honors • June 2015
  • Microcontrollers - Real-time programming, Timers, GPIO, interrupts, PWM
  • Random Signals - Random processes, filtering and spectral analysis, detection
  • Information Processing - Coding chain, source and channel coding, encryption
  • Signal Processing - Fourier series and transforms, Laplace transform
  • C++ Programming - OOP basics, standard and third-party libraries
  • Robotics - Mechanism modeling, kinematics and dynamics, control laws

Bachelor

Electronic Engineering

Pierre and Marie Curie University (Paris VI) • With High Honors • June 2014
  • Electronics - Analog and digital electronics, amplifiers, filters
  • Measurements - Oscilloscope, multimeter, function generator mastery
  • Computer Science - Algorithm basics, data structures, object-oriented programming
  • C Programming - Language basics, pointers, structures, dynamic allocation
  • Mathematics - Analysis, algebra, probabilities, statistics
  • Electromagnetism - Basics, wave propagation
  • Circuit Design - PCB design, CAD, CAM

Baccalaureate

Scientific, Engineering Sciences

Le Corbusier High School (Aubervilliers) • Honors • June 2010

My skills

Backend Development & APIs

Expertise in crafting robust, scalable REST APIs and microservices using modern Python frameworks, with focus on performance optimization and clean architecture patterns.

Python 3.9+ FastAPI Django Flask Pydantic SQLAlchemy Alembic Celery Redis REST APIs GraphQL Microservices Clean Architecture Domain-Driven Design Test-Driven Development API Versioning OpenAPI/Swagger

Frontend Development & User Experience

Proficient in building responsive, intuitive web applications with modern JavaScript frameworks, ensuring optimal user experiences across devices and platforms.

JavaScript ES6+ TypeScript React 18 Next.js Vue.js Angular Redux Zustand TanStack Query Chakra UI Tailwind CSS PostCSS Vite Webpack Jest Cypress Responsive Design Progressive Web Apps

Database Design & Management

Comprehensive expertise in both SQL and NoSQL databases, specializing in schema design, query optimization, data migrations, and ensuring data integrity at scale.

PostgreSQL MySQL SQLite MongoDB DynamoDB Redis InfluxDB Database Design Query Optimization Indexing Strategies Data Migrations Backup & Recovery Replication Sharding ACID Properties CAP Theorem

Machine Learning & AI

Skilled in end-to-end ML pipeline development, from data preprocessing to model deployment, with expertise in deep learning, computer vision, NLP, and MLOps practices.

Python PyTorch TensorFlow Keras scikit-learn OpenCV Pandas NumPy Jupyter MLflow Weights & Biases Computer Vision Natural Language Processing Deep Learning Neural Networks CNN RNN Transformers Model Deployment A/B Testing

DevOps & Cloud Infrastructure

Extensive experience with cloud platforms, containerization, and CI/CD pipelines, enabling efficient development workflows and reliable production deployments.

Docker Kubernetes AWS Google Cloud Azure Jenkins GitHub Actions GitLab CI Terraform Ansible Prometheus Grafana ELK Stack Nginx Apache Load Balancing Auto Scaling Infrastructure as Code Monitoring & Alerting

Software Quality & Best Practices

Commitment to writing clean, maintainable, and scalable code following industry best practices, with emphasis on testing, code reviews, and continuous improvement.

Clean Code SOLID Principles Design Patterns Test-Driven Development Behavior-Driven Development Code Reviews Static Analysis PyTest Jest Selenium Unit Testing Integration Testing E2E Testing Performance Testing Security Testing Refactoring Technical Debt Management

Communication & Project Management

Multilingual professional with strong communication skills and experience in agile methodologies, capable of leading technical teams and collaborating with stakeholders.

French (Native) English (Fluent) Turkish (Fluent) Agile/Scrum Kanban Jira Confluence Technical Writing Code Documentation Team Leadership Mentoring Stakeholder Communication Project Planning Risk Management

My certifications

Machine Learning Specialization

Deeplearning.ai, Stanford University

Supervised Machine Learning: Regression and Classification
Advanced Learning Algorithm
Unsupervised Learning, Recommenders, Reinforcement Learning
View Certificate

Deep Learning Specialization

Deeplearning.ai, Stanford University

Neural Networks and Deep Learning
Structuring Machine Learning Projects
Convolutional Neural Networks
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Sequence Models
View Certificate