Open to opportunities

Paul Wangaya

@paulwangaya

Message

AI/ML engineer delivering scalable, production-grade distributed ML and omnichannel customer experience solutions.

Canada

Message

What I'm looking for

I seek a senior AI/ML role building production-grade distributed ML and omnichannel CX systems with strong research impact, collaborative teams, and scalable infrastructure.

I am an AI/ML engineer with over 6.5 years of experience designing and deploying complex, API-driven workflows and analytics solutions for global enterprises, with a focus on high availability and performance.

I have delivered production AI systems for major energy companies, led technical strategy as a CTO & Co-Founder, and architected vector search and multimodal ranking solutions; my research on federated learning and compression earned IEEE InfoCom 2026 acceptance and significant bandwidth reduction results.

I prioritize translating business needs into scalable solutions—integrating telephony, CRM, distributed platforms, and CI/CD—while advancing research in distributed AI, model optimization, and interpretability.

Experience

Work history, roles, and key accomplishments

Artificial Intelligence Research Fellow

University of British Columbia

Mar 2025 - Dec 2025 (9 months)

Designed and optimized scalable IVR and omnichannel workflows, reducing average call handling time by 20% and implemented SIP/VoIP and CRM API integrations to streamline contact center data flows.

IVR VoIP API Integration NICE CXOne Parallel Computing Model Interpretability Studio

Lead AI/ML Engineer

Truxt.ai

Oct 2023 - Dec 2024 (1 year 2 months)

Architected vector database solutions and CI/CD pipelines for omnichannel contact center deployments, integrating Qdrant/FAISS and NICE CXone APIs to reduce rollout time by 30%.

Vector Databases Qdrant Faiss CI CD NICE CXOne Semantic Search Python

CTO & Co-Founder

Stealth Startup

Oct 2023 - Dec 2024 (1 year 2 months)

Founded and led development of an aggregation and multimodal ranking engine for tech hardware marketplaces, built end-to-end ML pipelines for product ranking and guided the company to acquisition.

Multimodal Ranking Systems Architecture Scalability Data Engineering

Machine Learning Engineer

Halliburton

Jun 2019 - Sep 2023 (4 years 3 months)

Developed and deployed enterprise-scale ML systems and petabyte-scale PySpark data pipelines for oil & gas clients including Saudi Aramco, Petronas, and ADNOC, improving production optimization workflows.

Pyspark Distributed Computing Data Engineering Oil & Gas Analytics Scalability Performance Optimization

Machine Learning Team Member

Indian Institute of Technology, Dhanbad

Jul 2016 - Apr 2019 (2 years 9 months)

Contributed to machine learning research projects and participated in competitive programming and AI challenges, supporting prototype development and experimentation.

Machine Learning Researcher Experimentation Python Competitive Programming Algorithm Design Data Analysis

Education

Degrees, certifications, and relevant coursework

Stevens Institute of Technology

Master of Science, Artificial Intelligence

2025 - 2025

Completed a Master of Science in Artificial Intelligence with Provost's Masters Scholarship support, focusing on advanced AI topics and research.

Indian Institute of Technology (Indian School of Mines), Dhanbad

Bachelor of Technology (Honours), Computer Science

2015 - 2019

Earned a Bachelor of Technology (Honours) in Computer Science with a minor, contributing to machine learning research and participating in competitive AI challenges.