.png){kind=logo}
Dylan Zhu
Mid-level Machine Learning Engineer specializing in computer vision and generative AI
Connect with Dylan
Dylan 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
Built and deployed an LLM/RAG system that uses differential privacy and distributional similarity checks to transform private data into a non-sensitive knowledge base while preserving utility. Also has experience demonstrating adversarial ML concepts (FGSM) to non-technical audiences by focusing on observable model behavior rather than implementation details.
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
- Built a privacy-preserving pipeline to convert sensitive data into a non-sensitive RAG knowledge base for LLMs
- Balances privacy vs. utility by tuning noise and monitoring statistical alignment with distributional metrics
- Pragmatic model selection considering performance, cost, and data sensitivity (local deployment when needed)
- Structured AI workflow design with stepwise testing on representative and edge cases
- Defines task-specific evaluation metrics and performs failure analysis to drive improvements
- Effective at explaining AI behavior to non-technical stakeholders using visual demonstrations (FGSM example)
Like what you see? We'll introduce you to Dylan directly.
Experience
Education
Skills
Languages
Publications
1 publication
Similar Candidates
Alexander Choy
Director of AI/ML Engineering specializing in MLOps, data platforms, and 3D computer vision
“Backend/data engineer focused on production ML/LLM systems: built a real-time FastAPI inference API on Kubernetes with strong reliability patterns (timeouts, idempotent retries, centralized error handling). Delivered AWS platforms using EKS + Lambda with GitHub Actions/Helm CI/CD and built Glue-based ETL from S3/Kafka into Snowflake with schema evolution and data-quality controls; also modernized legacy analytics/recommendation workflows into Python services with safe, feature-flagged cutovers.”
Adam Tichelaar
Executive Technology Leader (CTO) specializing in digital products, cloud platforms, and AI/ML
“IoT/connected-device and SaaS product builder with deep connected health/telehealth experience, including patient care delivery and remote patient monitoring. In their current org, they expanded a nutrition product business by prototyping and piloting a digital pre/post-surgical coaching care-delivery service with real providers/clinics/patients, then building an MVP and taking it to market.”
Staff Data Scientist specializing in machine learning, deep learning, and big data
Executive Robotics & AI Founder specializing in Embodied AI and Robotics Data Infrastructure
Priyanka Kaswan
Senior AI Research Engineer specializing in LLM agents and large-scale ML
“AT&T Labs builder who deployed a production multi-agent LLM system that lets engineers ask natural-language questions and automatically generates deterministic, schema-grounded Snowflake SQL (200–400 lines) to detect anomalies in massive wireless/network event data (~11B events/day). Experienced with LangChain and Palantir Foundry orchestration, RAG-based result interpretation, and rigorous evaluation/monitoring loops to continuously improve reliability.”
Interested in Dylan?
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 Dylan
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent