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Résumé · v3 · 2026

Curriculum Vitae.

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Tirop Meshack

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 · graduated

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 Baseem Al-Athwari. 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.Baseem

  • 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

Backend and Ai engineer

Jiranisoko market ltd

  • build the hyperlocal market backend architecture
  • build the Ai model to flag illigeal products off the marketplace
  • developed and configured ci/cd pipeline
  • containerization of the project
  • took part in deployemnt
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 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.