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Vetted Plotly Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in generative AI, LLMs, and MLOps
Mid-level Software Engineer specializing in backend APIs, data pipelines, and cloud microservices
Mid-level Machine Learning Engineer specializing in Generative AI and LLM applications
Abhijay Sai Paladugu
Junior Data Scientist specializing in LLM agents, RAG, and reinforcement learning
“McKinsey practitioner who built and deployed production LLM systems for consultants/clients, including a Power BI-integrated multi-agent chatbot (RAG + text-to-SQL + formatting) with custom Python orchestration, verification loops, and a 100+ case eval set achieving ~95% consistency. Also delivered a taxonomy-mapper agent that standardized inconsistent labeling for C-suite stakeholders, cutting a process from >2 weeks to <30 minutes through demos and business-focused communication.”
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLMs, RAG, and recommendations
Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems
Senior AI/ML Engineer & Data Scientist specializing in NLP, entity resolution, and knowledge graphs
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Senior Data Scientist specializing in large-scale ML systems and recommendations
Mid-level AI/ML Engineer specializing in RAG, NLP, and MLOps
Senior Machine Learning Scientist specializing in LLMs, RAG, and health AI
Harish Kasu
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“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.”
Senior Python Developer specializing in AI/ML and cloud-native microservices
Staff Data Scientist / AI-ML Engineer specializing in fraud detection, NLP, and recommendations
Mid-level Software Engineer specializing in ML-driven software testing and developer tools
Mid-level Machine Learning Engineer specializing in generative AI, NLP, and MLOps
Krishna Reddy
Mid-level AI/ML Engineer specializing in fraud detection and clinical LLM assistants
“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.”
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and on-device ML