Shah Zai
@shahzai
Senior software engineer specializing in ML-driven trading systems and backend performance.
What I'm looking for
I am a Senior Software Engineer with eight years of experience building ML-driven trading platforms, backend infrastructure, and full-stack applications for fintech and document automation products.
I specialize in Python, C++, and JavaScript/TypeScript and have delivered high-performance systems processing 100k+ daily transactions, optimized backtesting engines from hours to minutes, and deployed containerized microservices on AWS.
My work includes architecting ML systems with PyTorch and FastAPI, developing real-time dashboards with React and TypeScript, and implementing low-latency trade execution and analytics pipelines that improved throughput and reduced operational costs.
I am pragmatic, metrics-driven, and enjoy mentoring engineers and leading technical initiatives that translate research into production systems with measurable business impact.
Experience
Work history, roles, and key accomplishments
Independent ML & Backend Consultant
Self-Employed
May 2025 - Present (9 months)
Architecting an ML-driven trading system and consulting on backend optimization, delivering predictive models with 85% accuracy and reducing 10-year simulation runtime from 6 hours to 18 minutes via C++ SIMD and multithreading.
Senior Software Engineer
Quantolio
Jan 2020 - May 2025 (5 years 4 months)
Led full-stack development of an AI-powered portfolio platform, improving system throughput by 30%, raising model accuracy from 73% to 87%, and reducing 20-year backtests from 8 hours to 22 minutes through C++ optimizations.
Software Engineer
Hubdoc
Feb 2018 - Jan 2020 (1 year 11 months)
Built NLP-powered document classification and extraction pipelines processing 50k+ daily documents, achieving 93% accuracy on clean documents and automating over 85% of data entry workflows, saving 2,400+ manual hours monthly.
Software Engineer
FrontFundr
Feb 2017 - Feb 2018 (1 year)
Developed RESTful APIs and investor dashboards, handling 5k+ daily API requests with sub-200ms responses and enabling $2M+ monthly transactions through integrated payment and KYC/AML workflows.
Education
Degrees, certifications, and relevant coursework
University of Windsor
Bachelor of Science (Honours), Computer Science
2013 - 2017
Completed a Bachelor of Science (Honours) in Computer Science with a Software Engineering specialization, focusing on software systems, algorithms, and applied machine learning.
Tech stack
Software and tools used professionally
Xero
Chart.js
GitHub
Kubernetes
Jenkins
GitHub Actions
NumPy
Pandas
MySQL
PostgreSQL
MongoDB
Gmail
Django
Next.js
Tailwind CSS
Material-UI
Redis
JavaScript
ES6
TensorFlow
PyTorch
scikit-learn
NLTK
Kafka
RabbitMQ
Django REST framework
FastAPI
SQLAlchemy
PayPal
GraphQL
AWS Lambda
pytest
Airflow
s3-lambda
SQL
LangChain
OpenAI API
Agentic
Loops
100ms
Recharts
Remote
Availability
Location
Authorized to work in
Job categories
Skills
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