.png){kind=logo}
Vetted Plotly Professionals
Pre-screened and vetted.
“Data science/NLP practitioner with experience at NVIDIA and Microsoft building production-grade NLP and data-linking systems. Has delivered high-performing pipelines (e.g., F1 0.92) and large-scale entity resolution (F1 0.89), plus semantic search using embeddings and Pinecone with ~30–40% relevance gains, backed by rigorous validation (A/B tests, ROUGE, MRR) and strong MLOps/workflow tooling (Airflow, Databricks, FastAPI, MLflow, Prometheus/ELK).”
Staff AI/ML Engineer specializing in NLP, recommender systems, and Generative AI
Executive AI Platform & Innovation Leader specializing in Banking, GenAI, and AI Governance
Senior AI/ML Engineer specializing in LLMs, NLP, and production ML systems
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and real-time recommendation systems
Senior Data Scientist specializing in AI/ML platforms for finance and healthcare
Mid-level Machine Learning Engineer specializing in fraud detection and recommendations
Senior Full-Stack Software Engineer specializing in cloud platforms and AI integration
Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI for fraud detection
Dheeraj Kumar
Intern Data Scientist specializing in marketing analytics and data engineering
“AI/LLM practitioner with internships at Dell Technologies and Roche who built and deployed a healthcare-focused "Doctor LLM" by fine-tuning Meta Llama 3.2 on healthcaremagic.json, emphasizing safety guardrails to prevent harmful medical advice. Experienced in productionizing AI workflows with monitoring, testing, and orchestration (Airflow, Kubernetes), and in delivering AI-agent-driven competitive landscape insights to non-technical business stakeholders.”
Jiaqi Li
Junior AI Engineer specializing in healthcare analytics and compliance AI
“Built and shipped a production LLM-driven multi-agent platform (ciATHENA) at CustomerInsights.AI to automate analytics/ML/compliance workflows in healthcare and life sciences. Implemented LangGraph/LangChain orchestration with strong backend-style rigor (schemas, Pydantic validation, retries, auditability) and optimized latency/cost while keeping the system usable for non-technical users via guided natural-language interactions and structured/visual outputs.”
Entry-Level Data Scientist specializing in Applied Analytics and Machine Learning
Mid-Level Full-Stack Software Developer specializing in React, Node.js, and AWS
Mid-level Data Scientist specializing in GenAI, NLP, and deep learning
Junior Software Engineer specializing in cloud microservices and monitoring
Mid-level Data Scientist specializing in GenAI, NLP, and deep learning
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and RAG pipelines
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Mid-level AI/ML Engineer specializing in NLP, transformers, and RAG systems