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Vetted LightGBM Professionals
Pre-screened and vetted.
Mid AI/ML Engineer specializing in LLM systems and inference optimization
Senior AI Infrastructure & Backend Engineer specializing in LLM systems
Senior AI Infrastructure Engineer specializing in LLM systems and real-time ML platforms
Sharath Nyalakonda
Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare
“AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).”
Senior Python AI/ML Engineer specializing in MLOps, data engineering, and LLM applications
Junior Data Analyst specializing in AI analytics and BI for financial services
Senior Data Scientist specializing in LLM products, voice agents, and FinTech risk modeling
Senior Software Engineer specializing in hybrid cloud, Kubernetes, and MLOps
Mid-level Software Engineer specializing in MLOps, AI infrastructure, and distributed systems
Mid-level AI/ML Engineer specializing in NLP, Computer Vision, and Generative AI
Senior Infrastructure Platform Architect specializing in hybrid cloud and Kubernetes automation
Senior Machine Learning Engineer specializing in computer vision and healthcare AI
Mid-level AI Data Engineer specializing in real-time streaming and LLM-powered fraud analytics
Senior Machine Learning Engineer specializing in MLOps and GenAI platforms
Mid-level Generative AI Engineer specializing in LLMs, NLP, and multimodal systems
Travoy Spelling
Senior Data Scientist / ML Engineer specializing in GenAI, LLMs, and NLP
“ML/NLP engineer focused on production GenAI and data linking systems: built a large-scale RAG pipeline over millions of support docs using LangChain/Pinecone and added a LangGraph-based validation layer to cut hallucinations ~40%. Also built scalable PySpark entity resolution (95%+ accuracy) and fine-tuned Sentence-BERT embeddings with contrastive learning for ~30% relevance lift, with strong CI/CD and observability practices (OpenTelemetry, Prometheus/Grafana).”
Byron Pineda
Staff/Lead Data Scientist specializing in Generative AI, NLP/LLMs, and MLOps
“Lead Data Scientist (10+ years) with recent work in healthcare data: built production pipelines that unify EHR, genomics, and clinical notes using NLP (spaCy/BERT/BioBERT) and scalable Spark-based processing. Also led development of domain-specific LLM/NLP systems for chatbots and semantic search, deploying models via FastAPI/Flask and improving retrieval with FAISS-backed, fine-tuned clinical embeddings and RAG-style workflows.”
“Built end-to-end LLM/RAG systems for biological data and scientific literature analysis in a drug discovery setting, helping researchers explore disease insights and treatment hypotheses faster. Combines applied GenAI product work with strong production engineering, including monitoring, retrieval optimization, reusable Python services, and scalable deployment on AWS/Kubeflow.”