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Furkan – AWS, Python, Machine learning, experts in Lemon.io

Furkan

From United Kingdom (UTC+1)flag

AI Engineer|Strong senior
Machine Learning Engineer|Strong senior

Furkan – AWS, Python, Machine learning

Furkan is a senior engineer with 10+ years of experience delivering software and AI-powered products from the ground up. He has co-founded startups, led engineering teams, and contributed directly to mobile apps, dashboards, and backend systems. His work spans ML pipelines, LLMs, scalable APIs, and customer-facing tools — always with a focus on reliability, usability, and clear business value. With strong Python skills and a pragmatic mindset, Furkan thrives in fast-paced environments where hands-on execution and ownership matter.

12 years of commercial experience in
Adtech
AI
Data analytics
Gamedev
Machine learning
Marketing
Project management
Scientific research
Telecommunications
B2B
AI software
Enterprise software
Geospatial software
Mobile apps
SaaS
Main technologies
AWS
5 years
Python
11 years
Machine learning
10 years
LLM
2 years
AI
1 year
Additional skills
Computer Vision
DevOps
Snowflake
AWS SageMaker
Microsoft Azure
scikit-learn
Flask
Terraform
Vector Databases
Redis
FastAPI
Docker
Data visualization
Data Science
Data Modeling
NumPy
Deep Learning
OpenCV
Pandas
Scikit-learn
Plotly
Keras
Tensorflow
n8n
Direct hire
Possible
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Experience Highlights

Lead Data Scientist
Feb 2024 - Ongoing1 year 5 months
Project Overview

Europe's leading mobile app publisher that was recognised as France's fastest-growing startup and 7th fastest in Europe by Sifted (Financial Times) in 2024.

Responsibilities:

Operating in a data-driven environment where forecasted lifetime value (fLTV) calculations are central to all business decisions, Furkan delivered three key technical projects:

  • Rewrote and productionised Krystal, the company's time series forecasting library.
  • Built Kopilot, a comprehensive A/B testing system for mobile applications.
  • Authored the two-year technical roadmap for the data science team.
  • Performed AI-powered media library analysis using Gemini - Over 10K scene-by-scene video analysis.
Project Tech stack:
Snowflake
Python
Pandas
GitHub Actions
Amazon S3
AWS SageMaker
Project management
Data Modeling
Machine learning
AI
AWS
Technical Co-Founder and Lead
Feb 2020 - Jan 20243 years 11 months
Project Overview

An AI-driven price optimisation and customer retention platform that helps businesses uncover hidden profit potential. As Technical Co-Founder, Furkan was responsible for establishing the complete technical infrastructure, building and scaling the engineering team, and delivering bespoke solutions to C-suite stakeholders globally, including Fortune 500 clients.

Responsibilities:

Built and scaled three SaaS and three enterprise products from the ground up.

  • Utilised unsupervised machine learning algorithms, social network analysis, and time series forecasting methods to provide actionable insights and generate 10x value to clients with multi-billion dollar turnovers in the automotive, medical, food, and building manufacturing sectors.
  • Developed all backend and frontend code, as well as CI/CD pipelines using GitHub Actions.
  • Deployed the products on Azure and migrated to AWS using Infrastructure as Code with Terraform.

Led technical efforts of the company for sustainable growth.

  • Oversaw contractors and outside collaborators.
  • Managed the technical team and ensured that the company's technical goals were met.
  • Developed and implemented new technologies and processes to improve the company's technical capabilities.
Project Tech stack:
Data Modeling
Data visualization
GitHub Actions
Flask
Plotly
Scikit-learn
Pandas
NumPy
Amazon S3
Terraform
AWS
Microsoft Azure
Business intelligence
Cloud development
Docker
GIS
MapBox
SQLite
Redis
Tailwind CSS
Python
UI
UX
Game Developer and Co-founder
Jan 2015 - Mar 20194 years 1 month
Project Overview

Multiple games within the game development company Furkan co-founded.

Responsibilities:
  • Designed user interface and store listings for multiple games;
  • Contributed to the architectural game design for a real-time multiplayer word game;
  • Optimised backend servers for maximum efficiency.
Project Tech stack:
UI
UX
Linux
Lead Engineer and Co-founder
Jul 2018 - Feb 20197 months
Project Overview

VisAI is a computer vision specialist company delivering bespoke solutions to enterprise clients. As Co-Founder, Furkan developed a custom face recognition platform for Turkey's largest visual archive and pioneered the adoption of Flutter for computer vision-powered mobile applications during the framework's early days, successfully delivering multiple computer vision-enabled mobile solutions.

Responsibilities:
  • Developed and delivered bespoke computer vision and AI solutions to clients, including Turkey’s largest visual archive.
  • Built and trained deep learning models, optimized search performance, and deployed GPU-enabled vector search.
  • Published two of the earliest mobile applications with computer vision backend, as an early adopter of the Flutter framework.
Project Tech stack:
Flutter
Deep Learning
Data Modeling
Computer Vision
OpenCV
Vector Databases
Tensorflow
Keras
Linux
UI
Figma
REST API
Research Assistant
Sep 2015 - Sep 20183 years
Project Overview

A search and rescue project of the Turkish Air Force.

Responsibilities:
  • Designed and implemented the visual tracking system, communication platform, and onboard flight controller of autonomous swarming unmanned aerial vehicles.
  • Managed the department's research servers and delivered 'Programming Languages' and 'Introduction to Programming with C' courses.
Project Tech stack:
Python
OpenCV
Embedded Systems
Machine Learning Researcher
May 2014 - Mar 201510 months
Project Overview

Turkey's leading telecommunications company, which actively participates in research activities to enhance user and client experiences. As a Machine Learning Researcher, Furkan was responsible for algorithm development, data collection and design, and live testing of an indoor localisation algorithm based on GSM RSSI technology.

Responsibilities:
  • Implemented novel semi-supervised machine learning algorithms.
  • Set up end-to-end automated training and deployment pipelines with a real-time mobile test application.
  • Developed Native Android applications for data collection.
  • Collaborated with two universities and the leading mobile network on the market.
Project Tech stack:
Java
Android
Machine learning
Linux
Unix
Mobile Application Developer
Aug 2013 - Jun 20149 months
Project Overview

An app that aims to encourage kids to raise awareness in their local neighbourhoods.

Responsibilities:
  • Developed and maintained a hybrid iOS and Android "super app" using Cordova (then PhoneGap).
Project Tech stack:
iOS
Android
Cordova
PhoneGap

Education

2018
Computer Engineering
Master of Science

Languages

English
Advanced

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