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Vetted Generative AI Professionals

Pre-screened and vetted.

EK

Executive Engineering & Product Leader specializing in digital commerce, customer platforms, and applied AI

Oceanside, CA25y exp
Ingram MicroUniversity of Rochester
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KK

Senior Machine Learning Engineer specializing in LLM inference and GPU infrastructure

San Francisco, CA6y exp
PerplexityStevens Institute of Technology
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YF

Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI

Irvine, CA5y exp
AmazonUniversity of Chicago
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MK

Mid-level Machine Learning Engineer specializing in generative AI, NLP, and MLOps

4y exp
NVIDIAFlorida State University
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NS

Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference

New York city, NY4y exp
PerplexityCleveland State University
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BW

Senior Machine Learning Engineer specializing in GenAI, NLP, and recommendation systems

Seattle, WA10y exp
eBayUniversity of Illinois Urbana-Champaign
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DB

David Besemer

Screened

Executive Technology Leader (CTO/VP Engineering) specializing in enterprise AI and data platforms

New York, NY25y exp
CapeRensselaer Polytechnic Institute

Freelance CTO with a track record of founding and building early web products, including an award-winning baby website creation platform that was acquired by eStyle after gaining traction via retail/mail-order distribution and PR. Also built a sports event text-alert product, engineering around missing data APIs via a replaceable scraping layer.

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NS

Director of BizOps & Strategy specializing in e-commerce delivery and operations scaling

San Bruno, CA13y exp
WalmartCornell University

Ops/strategy leader with 10+ years in analytics, operations, and strategy (MBA) who has launched and scaled on-demand/express delivery capabilities in large retail ecosystems. Led complex, cross-functional initiatives including a 30-minute white-label delivery pilot for an automotive parts client and express delivery expansion for Sam’s Club across 800+ locations, with strong emphasis on driver supply, incentives, and on-time performance.

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QL

Qianfan Luo

Screened

Junior Software Engineer specializing in backend systems and AI/ML pipelines

San Francisco, CA2y exp
Persona IdentitiesCarnegie Mellon University

Robotics-focused engineer with ROS 2 experience who has built and debugged real-time, distributed control/orchestration systems under production-like latency and safety constraints. Led platform changes at Persona for a real-time verification orchestration system using deterministic state machines and async workers, and has hands-on experience stabilizing multi-robot navigation/SLAM behavior using rosbag, RViz, and stress testing in simulation (Gazebo).

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YL

Yanis Liaskos

Screened

Executive Technology Leader (CTO/CPO) specializing in AI, robotics, and warehouse automation

Atlanta, GA14y exp
FORTNAUniversity of Nottingham

VP/CTO-level leader who builds globally distributed engineering organizations and operating systems (SAFe, governance, real-time metrics) to align product, engineering, and executives. Drove a security modernization initiative in a robotics context using Achilles and Polaris, remediating vulnerabilities and upgrading libraries to achieve a cyber certification that was ahead of industry norms.

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KT

Kenil Tanna

Screened

Staff-level Machine Learning Engineer specializing in LLMs and MLOps for Financial Services

New York, NY7y exp
JPMorgan ChaseIIT Guwahati

Machine learning/NLP practitioner at J.P. Morgan who led development of a production RAG system and an entity resolution pipeline for complex financial data. Deep hands-on experience with embeddings (Sentence-BERT), vector search (FAISS/pgvector), LLM fine-tuning (LoRA/PEFT), and rigorous evaluation (human-in-the-loop + A/B testing) backed by strong MLOps on AWS (Docker/Kubernetes, MLflow, Prometheus/Datadog).

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MS

Mitul Sheth

Screened

Senior Engineering Manager specializing in cloud security and graph-based data platforms

Seattle, WA9y exp
SysdigCampbellsville University

Engineering leader at Sysdig Secure who pitched and prototyped a model data platform that initially got rejected, then proved value by migrating the CIEM offering and expanding adoption across multiple verticals. Now owns the CIEM suite plus the broader Sysdig Secure data and reporting platforms, manages 14 direct reports, and also leads a pilot AI team while remaining hands-on weekly.

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AK

Engineering Leader specializing in marketplace monetization, pricing, payments, and trust & safety

San Jose, CA14y exp
ThumbtackHarvard Business School

Early-stage founder in the ideation phase who previously took a hackathon concept in digital accessibility from prototype to a scalable SaaS platform, validating with developers, government web teams, and accessibility experts; the product was selected for deployment by the Indian Government. Strong focus on MVP validation, leveraging AI/automation, and building with limited resources; requires visa sponsorship due to immigration status.

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KR

Krishna Reddy

Screened

Mid-level AI/ML Engineer specializing in fraud detection and clinical LLM assistants

New York, NY6y exp
StripeIndiana Wesleyan University

Built and deployed a production clinical support LLM assistant at Mayo Clinic using a LangChain-orchestrated RAG architecture (Llama 2/PaLM) over de-identified clinical records, integrating BigQuery with Pinecone for semantic retrieval. Focused on healthcare-critical reliability by reducing hallucinations through grounding, implementing HIPAA-aligned privacy controls (Cloud DLP, VPC Service Controls), and running structured evaluations with clinician feedback.

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AR

Anagha Ram

Screened

Intern AI/ML Engineer specializing in NLP, LLMs, and semantic search

Los Altos, CA2y exp
Columbia UniversityCornell University

Built and deployed a production RAG-based semantic search and summarization system for large legal/technical document sets, owning the full backend (embeddings, vector store, chunking, prompting) and driving a reported 40–60% reduction in manual review time. Experienced with LangChain/LlamaIndex plus Airflow/Temporal-style orchestration, and applies rigorous evaluation/monitoring (A/B tests, drift detection, staged rollouts) to keep agentic systems reliable. Also partnered with a supply-chain manager at TE Connectivity to deliver an AI inventory recommendation tool projected to drive millions in value.

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MR

Maria Ramirez

Screened

Senior Talent Acquisition Leader specializing in technical recruiting, DEI, and hiring operations

New York, NY13y exp
AmazonNYU

Recruiting leader with AWS LATAM experience managing teams of ~10 (up to 14) and personally owning executive searches for country leaders across Mexico, Chile, Peru, and Colombia. Led compensation benchmarking and package recalibration for new-country office launches (e.g., Argentina) and drove a major recruiting operating-model change to a centralized pod/virtual hiring approach to support rapid headcount growth.

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SM

Executive Technology & Cybersecurity Consultant specializing in cloud transformation and GTM

Burlington, MA20y exp
Askus Innovation TechnologyYale University

Cybersecurity entrepreneur building a solution focused on emerging AI-driven security risks, aimed at helping mid-sized companies defend against advanced threat actors without needing large internal teams. Has a business plan, has raised capital, and is currently entering a seed VC round while doing fractional CTO/interim work to cover advisor and corporate legal costs amid upcoming EU cybersecurity/resilience policy changes.

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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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VY

Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps

San Francisco, CA6y exp
ShopifyUniversity of North Texas
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SS

Mid-level AI/ML Engineer specializing in recommender systems, fraud detection, and LLMs

Plano, TX5y exp
MetaUniversity of Texas at Arlington
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SK

Mid-level Program/Product Manager specializing in AI, SaaS strategy, and go-to-market

New York, NY4y exp
MicrosoftColumbia University
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ZZ

Intern AI/ML Engineer specializing in LLM agents, RAG, and computer vision

San Jose, CA2y exp
EZSVS USAUC Berkeley
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