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Vetted NumPy Professionals
Pre-screened and vetted.
Junior Software Development Engineer specializing in AI/ML and distributed systems
Senior Software Engineer specializing in AI/ML and LLM-powered applications
Senior AI/ML Engineering Manager specializing in NLP, computer vision, and MLOps
Senior Full-Stack Software Engineer specializing in cloud platforms and healthcare data systems
Senior Full-Stack Software Engineer specializing in scalable web platforms and cloud services
Senior Applied Machine Learning Engineer specializing in FinTech & E-commerce
Senior Python Engineer specializing in cloud infrastructure, media services, and IoT
Junior Machine Learning Engineer specializing in fraud detection and healthcare ML
Senior Applied AI Engineer specializing in enterprise AI and ML platforms
Mid-level Data Scientist specializing in Generative AI and LLM applications
Senior Full-Stack Engineer specializing in microservices, data pipelines, and cloud platforms
Senior AI/ML Engineer specializing in LLM systems and FinTech platforms
Senior Full-Stack AI Engineer specializing in LLM/RAG and production ML platforms
Vishanth Iyer
Senior AI/ML Engineer specializing in LLMs, multimodal AI, and scalable MLOps
“ML/NLP engineer with experience at NVIDIA and Cruise building production-grade AI systems across genomics/biomedical research and autonomous vehicle data. Has delivered multimodal LLM pipelines, large-scale entity resolution, and hybrid semantic search (BERT embeddings + FAISS + Elasticsearch), with measurable impact (≈40% accuracy/retrieval gains; ≈30% data consistency improvement) and strong MLOps practices (Kubernetes, CI/CD, MLflow, Prometheus/Grafana).”
Brian Gomez
Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision
“McKinsey & Company ML/NLP practitioner who builds production-grade AI systems across sectors (notably healthcare and finance), including RAG/LLM solutions, entity resolution pipelines, and embedding-powered search with vector databases. Demonstrated measurable impact (40% reduction in data duplication) and strong MLOps/data workflow practices (Airflow, MLflow, Spark, AWS/GCP, Prometheus, CI/CD).”
Huiren Li
Senior Backend/Full-Stack Engineer specializing in scalable microservices on AWS
“Backend/data engineer with production experience at Uber building a near real-time driver rewards service on AWS (FastAPI, PostgreSQL, Redis) with strong reliability and concurrency controls. Also delivered AWS Lambda/ECS containerized deployments with GitHub Actions CI/CD and cost governance, built AWS Glue ETL with schema-evolution handling, and drove a ~10x SQL performance improvement while owning incident response via CloudWatch.”
Deepak Guntreddi
Mid-level Full-Stack Developer specializing in Java/Spring Boot and React
“NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.”
Maria Li
Entry-Level Firmware Engineer specializing in embedded–cloud systems
“Backend engineer at Samsara with prior Amazon internship experience; built an internal Python chatbot for documentation discovery with a full security model (authn/authz and credential-based response filtering) in a sensitive environment. Currently works on dashcam/device-backend systems, including feature-flagged migrations for audio alert behavior and resilient real-time gRPC streaming under unreliable cellular connectivity, while actively monitoring Buildkite/Toolshed CI/CD rollouts.”