# Ivan Paner

> Machine Learning Engineer based in Manila, Philippines. Specializing in Azure OpenAI, AWS cloud services, and end-to-end ML pipeline development. Extensive experience in Gen AI systems, large-scale cloud migrations, and team leadership.

**Contact Information**
- Location: Manila, Philippines
- Email: ivan.paner@gmail.com
- Mobile: +63 917 874 3339
- LinkedIn: linkedin.com/in/ivan-paner
- Languages: English, Filipino

## Professional Experience

### [Thinking Machines Data Science](https://thinkingmachin.es/)
**Machine Learning Engineer** | April 2021 - Present

**Generative AI & Enterprise Solutions:**
- Built Gen AI systems for an ASEAN investment firm including employee performance evaluation system, automated due diligence report generation, and enterprise RAG knowledge base implementation
- Benchmarked open source LLM throughput performance using [vLLM](https://github.com/vllm-project/vllm) and successfully deployed on-premises infrastructure, establishing company-wide policy guidelines for open source LLM adoption

**Large-Scale Cloud Migration & Architecture:**
- Led technical migration of 44 ML models from Cloudera to AWS completed in 8 months for a major telecommunications client
- Managed complex technical architecture spanning Apache Airflow, Amazon EMR, AWS SageMaker, and Snowflake data warehouse integration
- Delivered GCP migration proof-of-concept featuring linear regression models 2 weeks ahead of schedule, resulting in expanded ML services contract with client

**Model Optimization & Development:**
- Migrated 6 legacy SAS statistical models to Python implementation, achieving 7-hour reduction in training time for one critical model while maintaining performance benchmarks
- Built end-to-end data pipelines supporting 14 different data providers across e-commerce, financial services, logistics, and human resources domains

### Augmented Intelligence Pros
**NLP Team Lead** | April 2017 - April 2021

**Architecture & Team Leadership:**
- Designed comprehensive microservice architecture for BPO conversational agent platform, enabling independent feature delivery across development teams
- Successfully managed cross-functional team of 4 researchers and engineers, delivering features through agile sprint methodology
- Built sophisticated graph data structures for conversation flow modeling and developed annotation tools for call transcript processing workflows

**DevOps & Automation:**
- Implemented automated microservice testing frameworks and established Kubernetes deployment pipelines for continuous integration and deployment

### Dimension Data Asia Pacific
**Junior Software Developer** | May 2015 - August 2016

**Application Development & Research:**
- Developed and extensively tested mobile applications using Xamarin cross-platform framework
- Conducted comprehensive research on big data technologies and DevOps methodologies to enhance pre-sales operations and client engagement strategies


## Technical Expertise

**Programming Languages & Frameworks:**
- Python (Advanced): Primary development language for ML pipelines, data processing, and API development
- FastAPI: Modern web framework for building high-performance APIs and microservices

**Artificial Intelligence & Machine Learning:**
- Azure OpenAI: Integration and deployment of GPT models for enterprise applications
- AWS SageMaker: End-to-end ML model development, training, and deployment platform
- GCP Vertex AI: Google Cloud's unified ML platform for model lifecycle management
- vLLM: High-throughput LLM inference and serving optimization

**Cloud Platforms & Services:**
- Amazon Web Services (AWS): EMR for big data processing, MWAA (Managed Apache Airflow) for workflow orchestration
- Google Cloud Platform (GCP): Cloud Build for CI/CD pipeline automation and container building

**Data Management & Processing:**
- PostgreSQL: Relational database management and complex query optimization
- MongoDB: NoSQL document database for unstructured data storage
- Snowflake: Cloud data warehouse for analytics and data science workloads
- Apache Airflow: Workflow automation and data pipeline orchestration
- Elasticsearch: Search engine and analytics platform for large-scale data indexing

**DevOps & Infrastructure:**
- Docker: Containerization for application deployment and development environment consistency
- Kubernetes: Container orchestration for scalable microservice deployment
- Jenkins: Continuous integration and automated deployment pipeline management

## Education

### De La Salle University
**Bachelor of Science in Computer Science**
**Specialization: Software Technology**
Manila, Philippines | Graduated 2015

**Academic Achievements:**
- Graduated Cum Laude
- Most Outstanding Thesis Award

### University of the Philippines Manila
**Bachelor of Science in Medical Science**
Manila, Philippines | Graduated 2011

## Publications & Research

### Breadcrumb: An indoor simultaneous localization and mapping system for mobile devices

**Authors:** Duke Danielle Delos Santos, Alron Jan Lam, Jules Macatangay, Ivan Paner, Courtney Anne Ngo

**Publication Details:**
- Published: 2016 IEEE Sensors Applications Symposium (SAS)
- DOI: [10.1109/SAS.2016.7479900](https://doi.org/10.1109/SAS.2016.7479900)
- Research Focus: Development of indoor SLAM (Simultaneous Localization and Mapping) system optimized for mobile device implementation, addressing challenges in GPS-denied environments for navigation and positioning applications