Vetted Forecasting Professionals

“Built a production internal LLM/RAG assistant at CVS Health to cut time spent searching long policy and clinical guideline PDFs, combining fine-tuned BERT/GPT models with FAISS retrieval and a FastAPI service on AWS. Demonstrates strong real-world reliability work (document cleanup, hallucination controls, monitoring/drift tracking with MLflow) and close collaboration with non-technical clinical operations teams via demos and feedback-driven iteration.”

“AI/LLM engineer who has shipped production RAG systems (including a 250K-document compliance knowledge tool on AWS) and focuses on reliability via citations, guardrails, and rigorous evaluation (Ragas/Opik/DeepEval). Also built a LangGraph-orchestrated webcrawler agent that cut research paper extraction from hours to minutes, and collaborated with clinical teams to deliver patient volume forecasting with an optimization layer for staffing.”

“Backend engineer who built an AI-driven "Smart Feedback Analyzer" API (Flask → FastAPI) that processes user feedback with NLP (Hugging Face + OpenAI) and returns structured insights. Demonstrates strong production-minded architecture: stateless services, Cloud Run + Docker deployment, Redis/Celery background processing, and Postgres/SQLAlchemy performance tuning (EXPLAIN ANALYZE, indexing, N+1 fixes), plus multi-tenant data isolation via JWT/API-key derived tenant IDs.”

“Analytics professional with hands-on experience building SQL/Python pipelines, customer ID mapping logic, and self-serve BI dashboards across marketing/CRM and regulated aviation reporting environments. Particularly strong in turning messy multi-source data into trusted reporting assets, with repeated claims of major efficiency gains, faster decision-making, and high-confidence stakeholder adoption.”

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.”

“Public sector sales leader with deep experience selling AI traffic management solutions to municipal, county, and state agencies. At FlowLabs.ai, they grew revenue from $1.5M to $7.5M in less than a year, built a scalable government sales process, and managed 40+ client relationships while navigating complex procurement and rescuing a high-stakes UDOT deployment.”

Joshua Miner

Screened

Executive product leader specializing in enterprise SaaS, B2B, and product marketing

Remote, USA27y exp

“Product leader with experience spanning immigration tech, cybersecurity AI, and post-acquisition platform integration. They’ve led complex rebuilds involving sensitive data, access controls, and workflow automation, delivering measurable gains in onboarding speed, satisfaction, and audit-risk reduction. Also brings a pragmatic, human-centered view of AI shaped by building an SLM for cyber threat intelligence and personal exposure to tutoring and education.”

Joshua Madison

Screened

Director-level sales leader specializing in public sector SaaS

Atlanta, GA11y exp

“Public sector sales leader at Veeam overseeing the central region’s existing license renewals and expansion across state, local, education, utilities, and government accounts. Stands out for combining strong retention results (90%+ GRR, 100%+ NRR) with cybersecurity-driven growth strategies, including expansion into new regions and navigating high-stakes ransomware-related government deals.”