class AboutMi:
def __init__(self):
self.name = "Mi | Miki"
self.role = "SWE @ Adobe"
self.team = "DX – AEM Assets (Digital Asset Management)"
self.education = "MS in Computer Science ‘28 (AI/ML) @ Georgia Tech"
self.fun_facts = """
My name is pronounced as /me/, hence the `AboutMi`!
My nickname growing up is Miki - a combo of my first & middle name ＠＾▽＾＠
Hobbies are reading and building softwares that _help_ myself and my loved ones.
I love nerdy jokes! Also, I'm trilingual!
"""
self.tmi_facts = "It's weird - I get easily startled (-̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥᷄_-̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥̥᷅ ) Something is not 200..."
self.focus_areas = [
"Autonomous AI agents & ML/AI systems",
"Distributed systems & event-driven architectures",
"Scalable cloud infrastructure (AWS, Kafka, dBT, Snowflake, Iceberg)"
]
# plz tell me u get my pun TT.TT
self.ci_cd = {
"distributed_system": [
"""Designed and implemented end-to-end scalable ingestion & AI-powered enrichment
pipelines on AWS using distributed semaphores & optimistic locking
to orchestrate multi-cloud asset flows for partners, e.g. Warner Bros,
enabling cross-cloud asset discovery without costly data duplication.""",
"""Redesigned AEM Assets event ingestion from at-least-once-guaranteed delivery HTTP to Kafka-based
pipelines with exactly-once semantics, eliminating dedup logic & reliably processing billions+ of events a day"""
],
"data_analytics": [
"""Built incremental, version-controlled data models in dbt & Snowflake
for attrition risk prediction, enabling data-driven decisions and proactive churn mitigation"""
],
"pocs_mvps": [
"""Designed C2PA multi-agent provenance system POC & co-developed Brand-Aware-Tagging
POC that eventually got shipped to GA in 2025"""
]
}
self.core_tech_stack = [
"Java", "Python", "Node.js", "Spring Boot",
"AWS", "Kafka", "Snowflake", "dBT", "LangChain",
"n8n", "Docker", "Kubernetes", "ArgoCD"
]
self.pet_projects = {
"BearPill-Diary": {
"about" : """Expanding on v1 to v2, an AI-powered medication tracker with intelligent health insights
using pluggable ML models and medical data APIs""",
"repo": "https://github.com/miki-reynolds/BearPill-Diary/",
"tech": """Python, FastAPI, SQLAlchemy, Redis, Pandas, NumPy, GCP, Langchain, OpenHands, OpenFDA,
Docker, Github Actions, Pytest""",
"demo": "Not yet started",
"status": "Private - Implementing"
}
}
def introduce(self):
print(f"＼ʕ •ᴥ•ʔ／ Hi | こんにちは | Xin chào - I'm {self.name}!")
print(f"Passionate about natural + technical languages, continuous learning & exploring emerging technologies!")
if __name__ == "__main__":
mi = AboutMi()
mi.introduce()