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§ Résumé · v3 · 2026

Curriculum Vitae.

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Tirop Meshack

mtirop345@gmail.com +82 109 672 2363 Goseong, Gangwon-do, South Korea github.com/meshtirop1 linkedin.com/in/meshack-tirop

Career objective

To build a career at the intersection of machine learning, bioinformatics, and full-stack software development. I aim to apply deep learning and data-driven techniques to real-world healthcare challenges, particularly cardiovascular and neurocritical care, while continuing to grow as a developer across web and mobile platforms. In the long term, I want to contribute to open-source research tooling and build applications that improve lives through intelligent systems.

Education

BSc, Computer Engineering (Smart Computing)

Kyungdong University · Goseong, Gangwon-do, South Korea · Expected 2026

Senior year, focused on web development and bioinformatics. Senior thesis was on temporal prediction of heart defects with the CheXchoNet dataset (CNN, AUC 0.79–0.84), supervised by Prof. Zubaer Ibna Mannan. Current research extends that toward waveform-level signals: non-invasive intracranial pressure estimation.

Kenya Certificate of Secondary Education

Kaplelach High School · Kenya

Where I first wrote real code, and where I first realised that the parts of math I liked were the parts that turned into programs.

Technical skills

Languages
Python · JavaScript · HTML · CSS · SQL · Solidity (learning)
Web & backend
Django · Django REST Framework · PostgreSQL · Git · Jupyter
Mobile
React Native · Expo · OpenGraphs
Ops & observability
AWS · Sentry · Grafana
ML & AI
PyTorch · TensorFlow · Scikit-learn · Pandas · NumPy · PyCharm
ML techniques
Supervised / unsupervised learning · CNNs · LSTMs · TCNs · Transformers · temporal & waveform prediction · feature engineering
Databases
PostgreSQL · SQL
Other
OOP · data structures · technical writing · presentations

Research

Senior Thesis: Temporal Prediction of Heart Defects (CheXchoNet)

Senior thesis · Kyungdong University · Supervisor: Prof. Z. I. Mannan

  • Deep-learning model for temporal prediction of heart defects on the CheXchoNet dataset.
  • Used CNNs to analyse chest X-ray data alongside temporal metadata.
  • Achieved AUC 0.79 to 0.84.
  • Pointed me toward waveform-level clinical signals, which the current ICP research builds on.
Current Research: Non-invasive ICP Estimation

Ongoing research · Kyungdong University · Supervisor: Prof. Z. I. Mannan

  • Training LSTM (bidirectional, attention), TCN, Transformer, and Hybrid models on ABP and CBFV waveforms (10 s windows, 125 Hz).
  • Trained on PhysioNet's pediatric neurocritical-care waveform release; cross-dataset validation against PhysioNet CHARIS.
  • Leave-one-patient-out cross-validation across 12 patients, ~18,500 windows.
  • Best LSTM result: MAE 2.92 mmHg, median AE 1.97 mmHg, RMSE 4.03 mmHg.
  • Stack: PyTorch, NumPy, Pandas, SciPy, custom WFDB / signal-processing pipeline.
Cardiovascular Disease Prediction

Kyungdong University · Cleveland Clinic dataset

  • Trained a machine-learning model to predict cardiovascular disease.
  • Implemented feature engineering and model-optimisation techniques.
  • Achieved 96% test accuracy using Scikit-learn and PyTorch.

Professional experience

Web Developer, Sunrise Drilling Limited

Freelance · Kenya · Remote

  • Maintain and extend the corporate site on Django and PostgreSQL with a secure admin backend.
  • Set up Grafana dashboards for traffic and uptime; tightened deploy and on-content-update workflows.
  • Working stack: SQL, JavaScript, Django, PostgreSQL, Grafana.
Backend Developer, Multition Education

Freelance · Kenya · Remote

  • Backend developer on multition.com, an AI-focused education platform with mentor-guided courses across ML, DL, NLP, computer vision, and generative AI. 500+ students, 11+ courses, 50+ certificates issued.
  • Built and maintained Django services for cohort enrolment, course content, and certificate generation.
  • Instrumented the backend with Sentry for error monitoring and alerting.
  • Working stack: Python, Django, PostgreSQL, Sentry, AWS.
Independent Freelance, Full-Stack Web & Mobile

Independent · clients in Kenya & South Korea

  • Designed and built responsive websites and mobile apps using Django, React Native, HTML, CSS, and JavaScript.
  • Shipped jiranisoko.co.ke, a Kenyan neighbourhood marketplace with listings, jobs, motors, property, and M-Pesa integration.
  • Shipped teddyvisuals.com, a creative portfolio and media site.
  • Built a service-business site with custom request flow for Mamafua Agency.
  • Implemented PostgreSQL databases for data management and user authentication.
  • Developed cross-platform mobile apps using React Native, Expo, and OpenGraphs.

Certifications & training

  • Smart Contracts (Cyfrin Updraft), Cyfrin Updraft · self-paced course (Nov 2024 – Mar 2025).
  • Data or Specimens Only Research, CITI Program (Jan 2025; ID 67095047; expires Jan 2028).
  • Conflicts of Interest Module, CITI Program (Jan 2025; ID 67074050; expires Jan 2029).
  • Python for Beginners, Simplilearn (Nov 2022).

Languages

English (fluent), Swahili (native), Korean (beginner)

References

Prof. Zubaer Ibna Mannan

Assistant Professor, Department of Smart Computing, Kyungdong University. Thesis & research supervisor.

Dr. Baseem Al-Athwari

Associate Professor and Head, Department of Smart Computing, Kyungdong University.