Hey!

Ugur Ersoz

Ugur Ersoz

Uğur Ersöz (TR) · Ugur Ersöz (DE)

Product Developer & Researcher | Berlin, Germany

🏀 Enthusiastic team player dedicated to thriving in challenging projects. 🧬

I am a young scientist and entrepreneurial engineer in the fields of digital health technologies. With a curious and investigative identity, I enjoy being involved in product management, product development, and R&D processes. I always strive to be part of a team in tasks that involve innovation and competition.

Education

Master of Life Science Engineering & Management
HTW Berlin
Oct 2024 – Present

Focus on combining engineering expertise with management principles in biotechnology.

Courses
Special Topics in Business Administration
Advanced Processes in Life Science Industries
Project Management for Production Processes
Project 2: Management and Innovation
New Technologies and Products
Life Science Engineering 2
Project 1: Engineering and Management
Human Resources Management and Leadership
Life Science Engineering 1
Regulatory Affairs and Clinical Trial Management
Corporate Finance and Controlling
Strategic Marketing in Life Sciences
Bachelor of Science – Molecular Biology and Genetics (Bioinformatics-focused)
Bahçeşehir University
Sep 2018 – 2023
  • ApplyBAU Scholarship (Merit-based)
  • Capstone Project: A Grade (Highest achievement)

Experience

Product Developer & Researcher
Uniqgene
Jan 2023 – Oct 2024
  • Transformed complex genetic and wearable data into clear, user-oriented insights, improving knowledge transfer between R&D, product, and software teams.
  • Applied Python for data cleaning, visualization, and exploratory analysis, supporting evidence-based product and marketing decisions.
  • Initiated and led the interactive Caffeine Metabolism report from concept design to data interpretation, delivering a user-focused segmentation model adopted in the final product.
  • Helped develop interactive product modules for sports predisposition and caffeine metabolism, turning scientific content into practical, user-friendly recommendations.
  • Contributed to training and developing Uniqgene AI, helping shape a user-focused system that turns genetic results into clear, interactive health, sports, and nutrition guidance.
  • Coordinated the Product Hunt launch process for Uniqgene AI, aligning team planning, launch communication, and follow-through during the live campaign.
  • Key Project: Presented Oxford conference outcomes (200+ participants, Sep 2024) on integrating genetic testing with wearable technology for personalized sports and nutrition management.
  • Prepared datasets combining 400+ genetic markers with wearable signals across 1,000+ data points and synthesized findings into 4 product modules and 3 use cases.
Launch highlight Uniqgene AI product development, user-focused system design, and Product Hunt launch

Helped train and develop Uniqgene AI, an AI-guided product experience designed to make genetic results easier to understand and act on. The system was shaped around user needs, translating DNA-based insights into conversational guidance, personalized interactive reports, and practical health, sports, and nutrition recommendations.

  • Supported product development by connecting genetic data, user questions, and personalized recommendation flows.
  • Helped build a user-oriented AI assistant experience focused on clarity, accessibility, and actionable guidance.
  • Managed Product Hunt launch planning and team coordination before and during the campaign.
  • Supported outreach and real-time follow-up while the product was live.
  • Recognized publicly by Uniqgene's co-founder for planning the launch process and keeping execution smooth.
  • Contributed to a first launch that reached support from 357 followers and upvoters.
Uniqgene AI product launch page
LinkedIn post recognizing Product Hunt launch coordination
Product module Sports Predisposition Analysis interactive report

Helped shape an interactive report that translates genetic predisposition data into understandable sports branch, training, nutrition, and injury-risk guidance. The focus was a user-centered system with scientific, clear, and actionable content.

  • Structured genetic analysis outputs into personalized recommendation areas.
  • Connected strength, endurance, oxygen capacity, motor learning, and injury-risk signals to practical sports guidance.
  • Supported content flows for tailored training routines and nutrition recommendations.
Uniqgene Sports Predisposition Analysis interactive report
Product module Caffeine Metabolism personalized report

Led the concept-to-interpretation flow for the Caffeine Metabolism report, helping users understand how genetic differences can affect caffeine processing, energy management, and lifestyle decisions.

  • Designed the report around clear genetic analysis, natural caffeine sources, and personalized intake guidance.
  • Translated scientific findings into accessible recommendations for daily life, sports performance, and cognitive routines.
  • Built the segmentation logic behind the final user-facing report experience.
Uniqgene Caffeine Metabolism personalized report
Intern & Growth Hacker
Uniqgene
Feb 2022 – Jan 2023
  • Conducted structured market and literature research using 50+ academic and industry sources, supporting early feature exploration for wellness-related product concepts.
  • Helped organize R&D workflows by structuring a database of genetic references, improving the team's access to scientific material.
  • Supported growth experiments for new brand concepts (UniqAthlete, UniqCouple), contributing to early user engagement analyses across a pool of potential users.
  • Performed competitor benchmarking to identify market trends and gaps, providing insights used in quarterly planning discussions.
  • Assisted in coordinating tasks in Jira and contributed to partnership outreach by representing the company at several European healthcare events.
Research and Development Intern (Mandatory Undergraduate Internship)
Uniqgene
Jul 2023 – Aug 2023
  • Processed DNA samples for approximately 40 individuals across 12 gene regions, contributing 500 genotype data points to the company database.
  • Performed quality control through NanoDrop ratio checks, PCR troubleshooting, and manual validation of automated genotype calls (FAM/VIC plots).
  • Reviewed biological correctness of radar/bar chart components tested by 50+ pilot users and checked 12 gene–trait associations for scientific consistency.
Engineering Team Member
Kariyer Ve Gelişim Kulübü (Career & Development Club) · Bahçeşehir University Student Club · Istanbul, Türkiye
Oct 2020 – Oct 2022
  • Took an active role in event organization and team coordination across the club's flagship activities, working closely with cross-functional student teams.
  • Organized and contributed to the success of multiple events including Marketing Talks and Start-Up Summit.
  • Played a significant role in the organizing team for VI. Career Days, ensuring effective execution.
  • Contributed engaging content as a member of Dakika Magazine's writing team.
Product Developer
Live USeful
May 2021 – Jun 2021

On the last day of the MZV YetGen (Yetkin Gençler) training program, together with my team mates, we designed a mobile application project aligned with the third goal of the UN Sustainable Development Goals — Good Health and Well-Being.

Trainee
Yetkin Gençler (YetGen)
Feb 2021 – May 2021

YetGen is a 12-week 21st Century Competencies Training Program covering Effective Presentation Techniques, Teamwork, Career Planning, Excel, Information / Media / Finance Literacy, Social Innovation, and the GirişGen entrepreneurship process.

During the program I completed assignments aimed at building an enterprise concept aligned with the UN Sustainable Development Goals, as part of the GirişGen track.

Projects

Bayer AG – Technology & Market Analysis Dashboard
HTW Berlin · Master's Course Project · Web App
Oct 2025 – Feb 2026
Built an analytical dashboard to evaluate Bayer AG's R&D investment trends and commercialization performance across product lines. Structured and validated multi-source tabular data for reliable comparisons and exploratory drill-down analysis.
ZemaSync – Digital Health Startup Concept
HTW Berlin · Advanced Topics in Life Sciences Engineering
Apr 2025 – Jul 2025
Defined business requirements, solution architecture, and go-to-market logic for a digital health platform, translating clinical workflows into structured product specifications. Delivered a user-centric digital product concept with clear value proposition and workflow logic.
BerSync Remote Health Monitoring
BerSync — Remote Health Monitoring
HTW Berlin · New Technologies & Products (Master's Course)
Nov 2024
Co-founded a digital health startup concept as CTO, addressing gaps in chronic disease management. Designed a two-component system: a screenless multi-parameter wearable (blood pressure, glucose, heart rate, SpO2, body temperature) and a companion mobile app with real-time dashboards and caregiver alerts. Led the technical architecture, sensor integration strategy, and competitive analysis. Presented to a jury panel at HTW Berlin.
Genetic Testing Research
Genetic Testing & Wearable Analytics
Uniqgene · University of Oxford Research Poster
Apr – Sep 2024
Integrated 400+ gene associations with wearable-derived metrics (heart rate, sleep, VO2 max, endurance) to map biomarkers to sports, nutrition, and recovery needs. Built a structured analytical framework translating genotype–phenotype findings into personalized recommendations. Co-authored and presented the research poster at the University of Oxford.
CYP1A2 Study CYP1A2 Study
AI-Powered Caffeine Metabolism Pipeline
Bahçeşehir University · Capstone Project
Feb – Jun 2023
Built an end-to-end Python analysis pipeline for CYP1A2 genotype–phenotype comparison across global and Turkish cohorts. Integrated multi-source genomic datasets and survey data (60+ participants). Awarded the highest grade (A).
LiveUseful App
LiveUseful – Lifestyle Wellness Platform
MZV YetGen Program · Startup Challenge
Feb – May 2021
Co-led design of a mobile wellness concept aligned with UN SDG 3, including value proposition, feature flows, and engagement strategy based on habit-tracking and behavioral science.

Skills

Programming
Python (Pandas, NumPy) · SQL · JavaScript · HTML / CSS · Git / GitHub
AI Tools
Claude Code · Cursor · Copilot
Product & Design
Figma · Miro · Eraser · Jira · Confluence · Agile / Scrum · Market Research · Data Visualization
Languages
Turkish (Native) · English (Fluent) · German (currently attending B1 course)
Certifications
Data-Driven Precision Medicine for Diabetes — Stanford MedicineView
Product Ownership & Process Management — Miuul
Agile Master & Scrum Development — Insider
Python Programming — Global AI Hub
Responsible AI & LLMs — Google
Data Visualization — University Canada West