.png){kind=logo}
Ronald Nap
Intern Machine Learning & AI Engineer specializing in computer vision and ML systems
Connect with Ronald
Ronald already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Robotics/ML engineer with internship experience at Valeo building a deep-learning prototype to replace parts of a legacy SLAM backend for autonomous parking, focused on making models run reliably in real time on embedded hardware (quantization/distillation + TensorRT). Also brings strong MLOps/deployment experience (Docker, Kubernetes on AWS EKS, CI via GitHub Actions) and has supported patent filing by explaining the technical approach to legal stakeholders.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- Optimized deep learning models for embedded real-time robotics using quantization/distillation and TensorRT
- Systematic SLAM debugging using recorded run replay, intermediate-signal logging, and root-cause isolation
- Improved robustness in challenging conditions (low light, motion blur, repetitive textures) via guardrails and threshold tuning
- Regression validation across scenarios to prevent fixes from breaking other behaviors
- Production-oriented deployment experience: containerized ML services and deployed on Kubernetes (AWS EKS) with autoscaling and performance testing
- Built CI regression pipelines with GitHub Actions to protect internal tooling workflows
- Able to communicate complex technical ideas cross-functionally (supported patent process with legal team)
Like what you see? We'll introduce you to Ronald directly.
Experience
Education
Awards
Skills
Languages
Publications
1 publication
Browse Similar
Similar Candidates
Rohan Karle Sudarshan
Mid-level Software Engineer specializing in AI, backend systems, and data platforms
“Built and shipped production AI features for Aiden, including a natural-language agent and a Knowledge Hub ingestion/retrieval system. Stands out for hands-on debugging of real LLM production issues across providers like OpenAI and AWS Bedrock, improving reliability and achieving 90% response/retrieval consistency through direct LiteLLM integration, validation, monitoring, and async system design.”
Junior Software Engineer specializing in AI/ML systems and LLM-powered document automation
Mid-Level Software Engineer specializing in distributed systems and AI/ML pipelines
Interested in Ronald?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Ronald
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent