Trevor Arjune
@trevor-arjune
Senior ML Engineer & Backend Developer with 11+ years of experience.
What I'm looking for
With over 11 years of experience as an ML Engineer and Full Stack Developer, I have a proven track record in developing innovative solutions that leverage cutting-edge technologies. My recent role as a Lead Subnet Developer at Bittensor involved leading the development of Sylliba, a cross-modal translation system that supports over 103 languages, significantly improving translation accuracy through advanced techniques like Reinforcement Learning with Human Feedback.
Throughout my career, I have consistently optimized processes and systems, reducing deployment times and costs while enhancing performance. My work at Kensho and Deltatre focused on predictive modeling and real-time analytics, where I developed systems that improved engagement and accuracy in various applications. I am passionate about utilizing my skills in Python, AWS, and Kubernetes to drive impactful projects in the AI and machine learning space.
Experience
Work history, roles, and key accomplishments
ML Ops Engineer & Full Stack Developer
Bittensor
Jan 2024 - Present (1 year 5 months)
Led the development of Sylliba, a cross-modal translation system leveraging federated learning, improving translation accuracy by 25%. Built a scalable API server for high availability and low latency, handling over 100,000 daily requests.
Founding Engineer & ML Ops
ChainVision AI
Dec 2021 - Oct 2024 (2 years 10 months)
Developed CI/CD pipelines for LLMs, optimized AWS SageMaker for model training, and designed LLM-based systems with PyTorch, achieving 99.8% uptime for 10,000+ users.
Developed predictive models using FinBERT and LASSO-LSTM, achieving 80% directional accuracy. Fine-tuned models to enhance efficiency and reduce processing time.
Senior ML Engineer
Deltatre
May 2016 - Dec 2019 (3 years 7 months)
Built a Text-to-Speech system for live sports commentary and optimized YOLOv3 for real-time player detection, improving engagement and accuracy in sports analytics.
Enhanced GAN models for image generation and developed a license plate recognition system with high accuracy, optimizing real-time surveillance and API performance.
Education
Degrees, certifications, and relevant coursework
University of West Florida
Master’s Degree, Mathematics
2009 - 2013
Completed a Master’s Degree in Mathematics, focusing on advanced mathematical theories and applications. Engaged in various projects that enhanced analytical and problem-solving skills, preparing for a career in data science and machine learning.
Tech stack
Software and tools used professionally
Blockchain
Amazon EC2
Microsoft Azure
Google Cloud Platform
GitHub
GitLab
Kubernetes
Docker Compose
Docker Swarm Visualizer
Amazon EKS
Azure Kubernetes Service
Docker Cloud
Jenkins
GitHub Actions
GitLab CI
NumPy
Pandas
PySpark
MySQL
PostgreSQL
MongoDB
Microsoft SQL Server
Gmail
Django
Google Analytics
Databricks
Azure DevOps Server
React
JavaScript
Python
CSS 3
Loki
TensorFlow
PyTorch
scikit-learn
Keras
Streamlit
Tensorflow Lite
Flask
FastAPI
Grafana
Prometheus
SQLAlchemy
Amazon RDS for PostgreSQL
Google Workspace
AWS Lambda
Serverless
Azure Functions
Azure SQL Database
Google Cloud SQL
GitHub Pages
GitHub CLI
Git
Docker
NGINX
Amazon Web Services (AWS)
SQL
Azure Cosmos DB
Azure Blob Storage
Amazon ECR
Availability
Location
Authorized to work in
Salary expectations
Job categories
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