Vetted FAISS Professionals

“ML/AI engineer with hands-on experience building production MLOps systems for predictive maintenance and demand forecasting, including deployment, monitoring, and iterative retraining. Also shipped a RAG-based employee onboarding chatbot integrated with ServiceNow APIs and reports business impact of roughly $300k/month in reduced stockout and overstock costs.”

“Full-stack engineer with hands-on experience building real-time operational products across banking, insurance, and startup e-commerce environments. They’ve owned features end-to-end—from React/TypeScript dashboards and Redux performance tuning to Spring Boot, Kafka, AWS Lambda, and production monitoring—and have also shipped 0→1 capabilities where business impact was immediate, such as reducing overselling through inventory visibility.”

“Built a production-grade LLM document processing and workflow orchestration platform at CBRE for internal operations teams, handling highly variable long-form documents with a reusable architecture involving 50+ coordinated LLM calls per request. Stands out for treating agentic systems like distributed backend infrastructure, with strong emphasis on evaluation, observability, reliability, and vendor-agnostic orchestration across Bedrock, Vertex AI, and OpenAI.”

Lokesh Jain

Screened

Senior AI/ML Engineer specializing in supply chain and healthcare systems

Bentonville, AR6y exp

“Built and deployed AcademiQ Ai, a production LLM-based teaching assistant using GPT/BERT with RAG (LangChain + Pinecone) to handle large student notes and generate adaptive explanations/quizzes. Demonstrated measurable retrieval-quality gains (18% precision improvement, 22% less irrelevant context) by tuning similarity thresholds and chunking based on user satisfaction signals. Also orchestrated terabyte-scale, real-time demand forecasting pipelines using Airflow and Kubeflow on GCP with strong monitoring, shadow deployment, and feedback-loop practices.”

Saipraneeth Ketireddi

Screened

Mid-level AI/ML Engineer specializing in LLM automation and healthcare analytics

Dallas, TX4y exp

“Full-stack AI engineer who has repeatedly taken ambiguous automation and agentic products from prototype to production, including a BRD automation platform that cut manual processing by 70% and a healthcare RAG assistant with long-term memory. Stands out for combining backend/AI orchestration depth with strong product instincts around trust, observability, security, and non-technical user experience.”

“Product manager and consultant with 2+ years across EdTech, SaaS, startup advisory, and healthcare-adjacent AI products. Stands out for combining user research, stakeholder synthesis, and hands-on AI prototyping—delivering measurable gains like doubled first-week retention, 25-30% higher review submissions, and 20-30% better workflow completion.”