I am a builder at heart, driven by the challenge of making complex technology accessible. I thrive at the intersection of machine learning and human connection, crafting solutions that solve real problems.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Transitioned from enterprise data roles at AT&T to a software engineering position at Google.
Focuses on developing scalable machine learning models while pursuing a Master's degree in Computer Science.
Provides expertise in data pipeline optimization, natural language processing, and inclusive software architecture design.
🚀 Career trajectory
Data Foundation
Established analytical roots while tackling large-scale data challenges within the telecommunications sector.
✦ Data Analysis
✦ SQL
✦ Python
Engineering Expansion
Transitioned into core software engineering by focusing on ML-integrated systems at a premier tech giant.
✦ Machine Learning
✦ Software Engineering
✦ NLP
Generalist Growth
Currently integrating MCS academic research with industry-leading practices to redefine software engineering roles.
✦ Computer Science
✦ AI Innovation
💪🏻 Superpowers
Architect of Human-Centric AI
Blending deep technical rigor with accessibility principles
✦ Develops scalable LLM frameworks prioritized for user accessibility
✦ Translates complex model outputs into intuitive human-centered interfaces
Systems Thinking Specialist
Mastering the data-to-decision lifecycle
✦ Optimizes data engineering pipelines using PySpark and Azure Databricks
✦ Applies rigorous algorithm design to solve enterprise-level data challenges
Multilingual Tech Communicator
Navigating global perspectives through technical and natural languages
✦ Leverages proficiency in four languages to bridge team communication gaps
✦ Adapts technical strategies to accommodate diverse cultural requirements
I'm excited about
✦ Seeking peer communities to share breakthroughs in LLM deployment and ethics.
✦ Aiming to connect with mentors who champion accessible software design philosophies.
✦ Looking to explore niche industry roles that merge data engineering with social impact.
I can help with
✦ Mentoring junior engineers on optimizing Python and SQL workflows.
✦ Reviewing data architectures for improved scalability and clean design.
✦ Assisting in building multilingual support features for inclusive product design.
I would love your help on
✦ Connecting with experts navigating the shift from data analysis to core ML engineering.
✦ Gaining insights into effective strategies for scaling accessibility in AI projects.
✦ Finding partners for collaborative hackathons focused on humanitarian tech solutions.