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Vetted Feature Engineering 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).”
Angel Contreras
Senior Data Scientist specializing in machine learning, NLP, and MLOps
“ML/NLP engineer with experience building production-grade legal-tech and data platforms, including a GPT-4/LangChain contract review system using ElasticSearch embeddings (RAG) deployed on AWS EKS. Strong in entity resolution and scalable batch/streaming pipelines (Kafka/Spark), with measurable impact (70%+ reduction in contract review time) and a focus on monitoring and CI/CD for reliable delivery.”
Soma Meghana Prathipati
Mid-level Machine Learning Engineer specializing in NLP, federated learning, and fraud detection
“ML/robotics engineer with Apple experience who built a computer-vision-driven industrial defect detection system integrating a robotic arm with ROS-based real-time inference on an edge GPU. Drove major performance gains (cut inference time ~60% via quantization + TensorRT) and improved robustness to lighting/material variation, with strong emphasis on production reliability (health checks, watchdogs, observability, CI/CD) and interest in shaping early-stage startup engineering culture.”
Director of Engineering specializing in capital markets risk, trading systems, and AI/ML platforms
Senior Software Engineer specializing in AI platforms for healthcare and industrial time-series ML
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
Mid-level Machine Learning Engineer specializing in MLOps, RAG, and real-time personalization
Director of AI/ML specializing in edge AI, computer vision, and foundation models
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and real-time recommendation systems
Mid-level Backend Software Engineer specializing in FinTech payments, risk, and real-time systems
Staff Machine Learning Engineer specializing in LLMs, recommendations, and MLOps
Principal AI Architect specializing in GenAI, agentic systems, and RAG
Junior Software Engineer specializing in AWS cloud infrastructure and ML systems
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Senior Data Scientist specializing in AI/ML platforms for finance and healthcare
Senior AI/ML Engineer specializing in Generative AI and LLM applications
Mid-level AI/ML Engineer specializing in LLM RAG pipelines and cloud MLOps