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Vetted Vector Search Professionals
Pre-screened and vetted.
Aditya Deshpande
Junior Full-Stack Software Engineer specializing in AI data systems
“Full-stack engineer with strong DevOps/AWS production experience who builds and operates multi-agent AI systems end-to-end (Streamlit/Python through Docker/Kubernetes and ECS/Fargate). Has delivered measurable outcomes: sub-2s latency and ~92% routing accuracy for an AI wellness assistant, shipped an AI-for-BI prototype in under 6 weeks cutting analysis time ~40%, and improved pipeline iteration speed ~35% via modularization and CI/regression checks.”
jaswanth mada
Mid-level Applied AI/ML Engineer specializing in LLMs, RAG, and fraud/anomaly detection
“Built and productionized an internal LLM-powered document Q&A system at Morgan Stanley using a LangChain-based RAG pipeline (FAISS + OpenAI) with AWS ingestion (S3/Lambda), handling 100k+ pages and cutting lookup time ~35% while keeping responses under 3 seconds. Strong on reliability: automated evals/CI (pytest + GitHub Actions), CloudWatch monitoring, drift detection (prompt drift and fraud-model drift), and security controls (IAM + app-level authorization) in a financial-services environment.”
Michael Williams
Senior Full-Stack AI Engineer specializing in Azure OpenAI and RAG/GraphRAG systems
“Built GoEngineer’s first production AI systems, including an end-to-end RAG pipeline for SolidWorks technical support using Azure Blob Storage, Azure AI Search, and Azure OpenAI, plus an AI summarization feature adopted by sales/customer success. Strong in productionizing LLM workflows with evaluation harnesses (golden sets, LLM-as-judge, red teaming, shadow deploys) and Azure infrastructure integrations (Redis, Service Bus, App Insights), and has also implemented a custom MCP server for agentic monitoring.”
Senior GenAI/ML Engineer specializing in LLMs and multimodal generative AI
Intern AI Engineer specializing in LLM/RAG and full-stack product development
Junior Applied AI Engineer specializing in LLMs and Retrieval-Augmented Generation
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and financial risk analytics
Senior Data Scientist and Generative AI Engineer specializing in LLMs, RAG, and MLOps
Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot, React, and AWS
Software Engineer specializing in full-stack systems, FinTech platforms, and AI tooling
Mid-level Full-Stack Software Engineer specializing in AI/ML and GenAI platforms
Intern/Junior Machine Learning Engineer specializing in LLMs, RAG, and vision-language systems
Mid-level AI Data Engineer specializing in ML pipelines, NLP/LLMs, and cloud data engineering
Mid-level Data Scientist specializing in financial ML, forecasting, and NLP/GenAI
Junior Applied Data Scientist specializing in LLM systems and full-stack ML products
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and AI integration
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production MLOps
Mid-level AI/ML Engineer specializing in MLOps, RAG, and production NLP
Mid-level Generative AI Engineer specializing in LLM apps, RAG, and cloud MLOps
Mid-level Software & Network Automation Engineer specializing in routing and scalable APIs
Senior Data Scientist / AI & ML Engineer specializing in agentic AI and generative AI
Mid-level AI & Machine Learning Engineer specializing in LLM systems, RAG pipelines, and MLOps
Mid-Level Full-Stack Software Engineer specializing in cloud-deployed LLM applications