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Vetted Retrieval-Augmented Generation Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in generative AI and data engineering
Mid-level Machine Learning Research Engineer specializing in foundation models and GenAI
Senior Client-Facing Solutions Engineer specializing in AdTech and AI integrations
Staff Machine Learning Engineer specializing in Generative AI, MLOps, and Computer Vision
Mid-level AI/ML Engineer specializing in GenAI, MLOps, and big data on cloud platforms
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics
Executive technology leader specializing in software engineering, AI, and cloud platforms
Mid-level Software Engineer specializing in AI/ML and AWS cloud platforms
Executive VP of Engineering specializing in FinTech platforms, cloud modernization, and AI/ML
Senior AI/ML Engineer specializing in production AI systems for healthcare and finance
Mid-level Generative AI Engineer specializing in LLMs, NLP, and multimodal systems
Senior Software Engineer specializing in distributed systems and agentic AI platforms
Senior Data Scientist specializing in GenAI, LLMs, and Analytics Engineering
“Backend engineer with experience in both regulated healthcare and finance: built a multi-agent RAG system to generate FDA regulatory approval documents for biomedical devices, improving retrieval accuracy via hybrid search (semantic + BM25) and hierarchical chunking. Previously at JPMorgan Chase, led a Java microservice refactor and AWS migration using Elasticsearch-first patterns, caching, and safe rollout strategies (parallel runs, canary, blue-green) in asset/wealth management.”
Ashutosh Choudhari
Mid-level AI/ML Engineer specializing in LLM applications and cloud-native systems
“LLM engineer who has shipped production AI systems, including an RFP requirements extraction platform (OpenAI o4-mini + Azure AI Search + FastAPI) achieving 90%+ accuracy and ~5x throughput through grounding, structured outputs, parallelization, and caching. Also partnered with legal/compliance stakeholders at Nexteer Automotive to deliver an AI document comparison tool with traceability and confidence indicators, adopted by non-technical users and saving ~2 FTEs of review time.”
Devisri Veeramachaneni
Senior Software Engineer specializing in cloud backend systems and LLM-powered agents
“Amazon Fire TV Devices engineer who built and shipped a production LLM-powered lab triage and validation system that grounds recommendations in internal runbooks/known-issue data and pushes evidence-based actions via dashboards and Slack. Emphasizes safety and measurability with structured JSON outputs, replay-based evaluation on historical incidents, and production metrics (e.g., disagreement rate and time-to-first-action), plus cost/latency optimizations like caching, batching, and rule-based fast paths.”