Vetted Model Evaluation Professionals

Pre-screened and vetted.

Nikhil Reddy - Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms in San Francisco, CA

Nikhil Reddy

Screened

Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms

San Francisco, CA5y exp
NVIDIASaint Louis University

Built and deployed an LLM-powered platform that turns models into scalable REST/gRPC APIs, focusing on keeping GPU-backed inference fast and stable during traffic spikes. Experienced with AWS orchestration (EKS/ECS/Step Functions), safe model rollouts, and production-grade monitoring/testing for reliable AI agents and workflows.

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Christian Alcala - Mid-level Software Engineer specializing in LLM-powered analytics in Redwood Shores, CA

Mid-level Software Engineer specializing in LLM-powered analytics

Redwood Shores, CA4y exp
OracleUSC

Engineer with a pragmatic, production-focused approach to AI development, emphasizing verification, observability, and system design over hype. Built LLM-driven features and automated regression/validation pipelines, including quality measurement work at Oracle, and uses hands-on projects to test how AI fits into real business workflows.

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ZS

Ziwen Shen

Screened

Junior AI/ML Engineer specializing in machine learning and applied research

Remote, USA2y exp
Okapi Sports IntelligenceBrown University

Machine learning/AI engineer focused on agentic product experiences, including a parts-finding assistant and other AI-driven tools. Has worked on reinforcement learning projects, agent state management, and making AI understandable for non-technical users through visuals and simplified explanations.

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IU

Isiah Udofia

Screened

Junior Full-Stack/Product Builder specializing in AI and digital health

Remote, USA2y exp
Absolute RestYale University

Co-founded academic-index (10,000+ users) and built a full-stack Next.js 14 document upload + client-side OCR + Gemini-powered analysis pipeline with strong production reliability (custom monitoring, retries, quality gates) and measurable gains (accuracy ~94%→98.5%, failures down ~60%). Also owns end-to-end biometric data visualization and a data-driven brand/UX overhaul at pre-seed health/performance startup Absolute Rest, with a background running a multi-client dev studio (Zen Digital).

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QL

Qiang lu

Screened

Senior Robotics & Embodied AI Engineer specializing in closed-loop perception-to-action systems

Santa Clara, CA9y exp
AmazonUniversity of Denver

Robotics software engineer who built the behavior-tree orchestrator for the Vulcan Stow robotic system, migrating from a state machine to significantly improve testability. Experienced with ROS 1 and Baidu Apollo workflows (rosbag, LiDAR/image extraction) from self-driving simulation work at LG Silicon Valley Lab, and currently focused on stable Docker/docker-compose-based deployments with disciplined QA and hotfix processes.

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KS

Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps

CA, USA4y exp
AnthropicCalifornia State University, Long Beach

ML/LLM engineer who built a production RAG system (GPT-4 + FAISS + FastAPI) to deliver fast, grounded answers from proprietary documents, optimizing for sub-200ms latency and high-concurrency scale. Strong MLOps/observability background: drift monitoring with Prometheus + Streamlit, automated retraining via Airflow, Kubernetes autoscaling, and MLflow-managed model lifecycle, plus inference cost reduction through quantization and structured pruning.

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BK

Director-level Product Leader specializing in B2B SaaS and AI-driven platforms

Boulder, CO16y exp
AtlassianSPJIMR

Senior product leader from Atlassian with a strong track record in web growth, AI/ML personalization, ecommerce, and platform modernization. They led a major funnel turnaround, launched Atlassian's first self-service cloud cart that generated $75M in year one, and delivered sales automation products that drove $180M while demonstrating strong cross-functional and people leadership.

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Deepit Shah - Entry Software Engineer specializing in AI infrastructure and ML inference systems in Seattle, WA

Entry Software Engineer specializing in AI infrastructure and ML inference systems

Seattle, WA2y exp
AmazonUniversity of Illinois Urbana-Champaign
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KR

Mid-level AI/ML Engineer specializing in NLP/LLMs and production ML systems

Allen, TX4y exp
AnthropicUniversity of North Texas
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TR

Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and on-device ML

CA, USA5y exp
AppleTexas Tech University
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Pavankumar Pendela - Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems in Centerton, AR

Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems

Centerton, AR6y exp
MetaUniversity of the Cumberlands
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RP

Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting

KS, United States12y exp
TargetKansas State University
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TM

Mid-level Business Analyst specializing in data analytics and financial systems

Dublin, CA4y exp
BNY MellonUniversity of Wisconsin–Madison
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GS

Director-level Product Leader specializing in AI platforms for commerce and advertising

Seattle, WA21y exp
LTKBradley University
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JD

Mid-Level Software Engineer specializing in distributed systems and AI agent platforms

Redmond, WA3y exp
MicrosoftSan Jose State University
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SR

Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG systems

San Francisco, CA5y exp
Scale AIConcordia University
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DK

Senior Customer Success & Technical Account Leader specializing in AI/ML infrastructure

Pleasanton, CA19y exp
Lightning AIUC Berkeley
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SR

Mid-level Full-Stack Python Engineer specializing in AI search and distributed systems

San Francisco, CA5y exp
RedditWebster University
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JR

Mid-level Product Manager specializing in AI, security, and SaaS

Washington, USA5y exp
AtlassianSaint Louis University
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DP

Senior Full-Stack Engineer specializing in telehealth and commerce platforms

Seattle, WA11y exp
AmwellUniversity of Washington
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JS

Senior Data Scientist specializing in Generative AI and conversational AI

Chicago, IL12y exp
MozillaUniversity of Michigan
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AC

Director of AI/ML Engineering specializing in MLOps, data platforms, and 3D computer vision

Teaneck, NJ10y exp
AetrexColumbia University

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.

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