class YnezDias:
def __init__(self):
self.role = "CS Graduate Student & Software Engineer"
self.focus = ["SDE","Data Engineering","AI/ML Engineering","Full-Stack Dev"]
self.currently = "Building real time RAG system and LLM projects"
self.learning = ["LLM Orchestration", "Streaming Pipelines", "MLOps"]
self.open_to = "Collaborations in Python, ML, React & Scalable Systems"
self.reach_me_at = "diasynez5@gmail.com"
def fun_fact(self):
return "I believe the best systems are both elegant and explainable."
![]() LangChain |
OpenAI API |
Scikit-learn |
TensorFlow |
|
Apache Spark |
Apache Kafka |
Pandas |
Snowflake |
|
PostgreSQL |
MySQL |
MongoDB |
Redis |
|
Python |
TypeScript |
JavaScript |
Java |
PHP |
|
React |
Next.js |
Vue.js |
Node.js |
FastAPI |
Django |
π¦ Current Projects
β£ π Knowledge Discovery & Data Mining Pipeline
β ββ Graph-based entity extraction Β· Clustering Β· Pattern recognition
β£ π€ LLM-Powered RAG Application
β ββ LangChain + LangGraph Β· Vector DB Β· FastAPI backend Β· React frontend
β£ π Real-Time Data Engineering Platform
β ββ Kafka streaming Β· Airflow orchestration Β· dbt transformations Β· Snowflake DWH
β π Scalable Full-Stack SaaS
ββ Next.js Β· TypeScript Β· PostgreSQL Β· Docker Β· CI/CD on AWS
Open to research collaborations, internships, and full-time roles in AI/ML Engineering & Data Engineering.
