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Vetted spaCy Professionals

Pre-screened and vetted.

SS

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

California, USA5y exp
Google DeepMindUniversity of North Texas
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RN

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

USA5y exp
ShopifyCalifornia State University
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BS

Brian Sanders

Screened

Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines

Chicago, IL12y exp
SnapsheetTexas Tech University

Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.

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PV

Parth Vadera

Screened

Senior AI/ML Data Scientist specializing in recommender systems, LLMs, and MLOps

Tracy, CA11y exp
LinkedInNortheastern University

ML/NLP leader with 12+ years of impact across LinkedIn, TikTok, and Levi's, building and productionizing multimodal recommendation and embedding-based search systems. Deep experience in entity resolution, vector retrieval, and rigorous evaluation, with cloud-native deployment/monitoring (MLflow, Airflow, SageMaker/Lambda, Azure ML, Kubernetes) and demonstrated double-digit relevance gains at millions-of-users scale.

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HK

Harish Kasu

Screened

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

San Francisco, CA5y exp
NVIDIATexas A&M University-Kingsville

AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.

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VN

Junior ML Engineer specializing in MLOps and real-time inference

TX, USA2y exp
TeslaUniversity of Texas at Dallas
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SA

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

CA, USA6y exp
MetaUniversity of Central Missouri
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SM

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and scalable GPU inference

Bay Area, CA5y exp
PerplexitySaint Louis University
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BC

Principal Data Scientist specializing in ML, NLP, and forecasting for marketing and supply chain

Arlington Hts, IL14y exp
GoogleDePaul University
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MG

Principal Machine Learning Scientist specializing in GenAI, LLMs, and RAG

Austin, TX13y exp
Season HealthGeorgia Tech
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YE

Senior Python Developer specializing in AI/ML and cloud-native microservices

CA, USA6y exp
GoogleUniversity of Central Missouri
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MP

Senior Software Engineer specializing in cloud platforms, healthcare imaging, and scalable APIs

San Jose, CA10y exp
AmazonUniversity of Texas at Austin
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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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KM

Kowshika M

Screened

Mid-level AI/ML Engineer specializing in LLM fine-tuning, inference optimization, and AI safety

Santa Clara, CA5y exp
NVIDIAOregon State University

AI/LLM engineer with production experience at NVIDIA, where they fine-tuned and deployed a financial-services chatbot and cut latency ~50% using TensorRT + NVIDIA Triton, scaling via Docker/Kubernetes. Also has consulting experience at Accenture delivering a predictive maintenance solution for a logistics network, bridging non-technical stakeholders with actionable dashboards.

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MJ

Senior AI/ML Engineer specializing in Generative AI, NLP, and RAG systems

Mesquite, TX11y exp
AmazonUniversity of Texas at Dallas

ML/NLP engineer focused on production-grade data and search/recommendation systems: built an end-to-end pipeline that connects unstructured customer feedback with product data using TF-IDF/BERT, Spark, and AWS (SageMaker/S3), orchestrated with Airflow and monitored for drift. Also has hands-on experience with entity resolution at scale and improving search relevance via BERT embeddings, FAISS vector search, and domain fine-tuning validated with precision@k and A/B testing.

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KK

Mid-level Software Developer specializing in cloud data engineering and MLOps

NYC, New York3y exp
AmazonNYU

Software engineer with strong AWS production experience, including an end-to-end historical backfill system exporting ~10PB of CloudWatch logs into a data lake using Step Functions/Kinesis/Lambda/Firehose/Glue. Emphasizes reliability and operability (DynamoDB checkpointing, monitoring dashboards, CI/CD with canary tests) and has also built customer-facing UI work for the Visa Developer Portal using Angular + Spring Boot, plus React/Redux frontend work.

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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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BP

Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems

Bay Area, CA5y exp
MetaFlorida Institute of Technology
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PP

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

Centerton, AR6y exp
MetaUniversity of the Cumberlands
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