Professional Experience

Training and Diplomas

Technical Skills — Details

Product Ownership & Systems Architecture

  • Agile / Scrum / Kanban — project and delivery management
  • Product Backlog / User Stories / Sprint planning and execution
  • Layered and modular architecture design
  • Stakeholder communication and cross-functional collaboration (Engineering, Bioinformatics, AI)
  • Business model design and operations strategy
  • Requirements interviews, process analysis, UX / UI wireframing

NGS Analysis

  • RNA-seq, ChIP-seq, resequencing, metagenomics
  • WGS (whole-genome) & WES (exome)
  • Pipelines: Snakemake, Bash (Shell)

Coding Languages

  • Python
  • Java
  • C++

Data Visualization

  • Python (matplotlib, scikit-learn, Dash, Biopython, pandas, GeoPandas, etc.)
  • R (Shiny)

Data Analysis

  • Machine Learning
  • LLM / AI / NLP (prompt engineering, RAG / GraphRAG, evaluation)
  • Pattern mining
  • Big data: PySpark, Node.js
  • Statistical software: R / R Shiny
  • Statistical software: SAS, SPSS

Databases

  • MongoDB
  • MySQL, PostgreSQL
  • Neo4j (graph database)
  • RDF, SPARQL, ORM, XML, GraphQL

Front-End Development

  • HTML, CSS, JavaScript
  • Jinja2
  • jQuery, Angular
  • React, TypeScript

Back-End Development

  • Python / Flask
  • Python / Django
  • Java / Spring Boot

Business Intelligence (BI) & Data Integration

  • Talend (ETL, field mapping, scheduling)
  • Python ETL: pandas, FHIR API (fhir.resources), REST ingestion and transformation

System Deployment

  • Linux / Unix
  • Windows

Frequently Used Technical Skills

  • GitLab / GitHub
  • Conda (environment management)
  • Docker
  • Keycloak (SSO / IdP: OIDC, SAML, RBAC)
  • Cloud (Biosphere / Google / Amazon) / NVIDIA Parabricks
  • CI / CD
  • K8s (Kubernetes)
  • Unit testing

Conferences & Projects