.png){kind=logo}
Vetted Natural Language Processing Professionals
Pre-screened and vetted.
Akhilesh Patil
Junior AI/ML Engineer specializing in FinTech and generative AI
“Built an end-to-end AI bug triage dashboard that combined React/TypeScript, FastAPI, Postgres, and classical ML to reduce manual engineering triage work by about 40%. Stands out for pragmatic, product-minded AI engineering: choosing interpretable models when they were sufficient, designing human-in-the-loop UX for trust, and separately building an agentic RAG project with vector search, Neo4j knowledge graphs, and reranking.”
Jason Main
Executive product leader specializing in AI, SaaS, and Healthcare IT
“Product leader with experience spanning AWS enterprise software commercialization, healthcare workforce platforms, and AI-enabled peer mentoring products. Notable wins include launching a healthcare internal resource pool product that offset declining revenue by 3x+ and helping commercialize Amazon call center software into a product that generated just under $25M in first-year revenue. Strong throughline is customer-led product strategy, cross-functional execution, and human-centered AI that augments rather than replaces people.”
Lakshmi Narayana
Mid-level Data Science AI/ML Engineer specializing in Generative AI, LLMs, and RAG systems
“Built a production RAG-based "knowledge copilot" for support/ops using LangChain/LangGraph, implementing the full pipeline (ingestion, chunking, embeddings, vector DB retrieval/rerank, guarded generation with citations) and operating it as monitored microservices with CI/CD. Also designed an event-driven, streaming backend for real-time inventory ordering predictions that reduced stockouts by 25%, and has hands-on incident response experience stabilizing LLM API latency/5xx spikes using Datadog/APM and resilience patterns.”
Mid-level Machine Learning Engineer specializing in deep learning, MLOps, and real-time inference
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and recommendation systems
Intern Machine Learning Researcher specializing in LLM and GNN security
Mid-level HPC AI & Software Engineer specializing in computer vision and ML for scientific data
Junior Data Infrastructure Software Engineer specializing in analytics pipelines
Mid-level AI Engineer specializing in computer vision and RAG systems
Mid-level Software Engineer specializing in ML deployment and full-stack development
Mid-level AI/ML Engineer specializing in fraud detection and customer lifetime value modeling
Intern AI/ML Engineer specializing in LLM systems and cloud-native microservices
Entry-Level Data Scientist specializing in Applied Analytics and Machine Learning
Junior Technical Product Specialist specializing in AR/VR and AI wearables
Mid-Level Full-Stack Software Developer specializing in React, Node.js, and AWS
Senior AI/ML Software Engineer specializing in LLM and RAG systems
Junior Software Engineer specializing in distributed systems and AI evaluation
Senior Software Engineer specializing in Python, AWS, and cloud-native backend systems
Junior Data/AI Engineer specializing in scalable data pipelines and Elastic Stack
Mid-level NLP Research Engineer specializing in LLM evaluation and retrieval-augmented QA