Vetted Business Intelligence Professionals

“Built and deployed a healthcare NLP application that used an LLM-style physician interface feeding a random forest model to predict treatment plans for hard-to-triage patient subgroups, backed by a Databricks medallion pipeline and heavy feature engineering to address missing/low-integrity data across ~50K patients. Also delivered an earlier Microsoft AI Builder automation that improved transportation bill payment workflows by training non-technical payroll/procurement teams to use automated outstanding-payables reporting.”

“Atlassian ML/AI engineer who has shipped end-to-end production systems combining classical ML, streaming infrastructure, and LLM-based personalization to improve onboarding and free-to-paid conversion. Particularly strong in turning research-style RAG and reranking ideas into low-latency, reliable product systems with robust evaluation, safety guardrails, and reusable platform services for other teams.”

“Operations-focused executive and management consultant who has led operational buildouts across sectors: first CEO at a founder-led company, COO of a large nonprofit food bank, and co-founder of a 501(c)(3) that has run for over a decade serving thousands of at-risk children. Brings a structured, metrics-informed approach (process mapping, financial alignment, benchmarking, SWOT) and coaches leaders to connect vision and strategy to scalable operational execution.”

“Data science/NLP practitioner with experience at NVIDIA and Microsoft building production-grade NLP and data-linking systems. Has delivered high-performing pipelines (e.g., F1 0.92) and large-scale entity resolution (F1 0.89), plus semantic search using embeddings and Pinecone with ~30–40% relevance gains, backed by rigorous validation (A/B tests, ROUGE, MRR) and strong MLOps/workflow tooling (Airflow, Databricks, FastAPI, MLflow, Prometheus/ELK).”

“Cross-functional operations leader who managed six departments and led a first-time international expansion from Dubai into Riyadh, including hiring a Saudi GRO to navigate registrations/licensing and local requirements. Implemented a BI dashboard and later integrated it with an ERP to give executives real-time visibility into sales, project delivery, and finance, and stood up a PMO to improve delivery and collections while reducing sales-to-delivery friction.”

“Frontend tech lead at HubSpot who shipped an LLM-powered insights dashboard that analyzed complex customer interaction histories and surfaced sentiment, challenges, and next-best actions for sales users. Stands out for having taken an AI feature beyond prototype into beta and full production, with strong emphasis on testing, maintainability, and practical production tradeoffs.”

Param Yanamandra

Screened

Staff/Lead Software Architect specializing in Contact Center platforms and GenAI automation

Campbell, CA21y exp

“Built and deployed production LLM systems in healthcare and at LinkedIn: automated pen-and-paper clinical trial evaluations with a 40x efficiency gain and created an evidence-based Evaluation Agent focused on accuracy and speed. Also used Temporal to orchestrate resilient data-ingestion workflows for customer support staffing prediction, improving prediction outcomes by 40% while handling missing data, retries, and backfills.”

Vela Sivasankaran

Screened

Executive technology leader specializing in cloud, telecom, and digital transformation

Virginia, USA16y exp

“Former founder of a financial services technology startup that is currently on hold for family reasons. Has hands-on startup fundraising exposure from employee roles, including presenting proof-of-concept demos to venture capital firms, and brings a strong focus on fraud prevention, safeguards, and regulatory compliance.”

“Built GenMedX, a multi-module clinical AI system for emergency department decision support spanning triage prediction, diagnosis, medication Q&A, and visit summarization. Stands out for combining medical LLM fine-tuning, RAG, and rigorous evaluation/monitoring to drive a major triage recall improvement from 38.5% to 76.6%, with a strong focus on safety, edge-case detection, and production reliability.”

“Architect/engineering leader who built a multi-tenant AI platform end-to-end, including a secure FastAPI orchestrator (JWT, RBAC, tenant isolation, auditing) and an extensible MCP tool-routing layer, then productionized it via fully containerized microservices (Docker, Postgres/pgvector, Redis). Also has strong governance and compliance experience (ARB with security/privacy/SOX) and has owned high-severity incidents through mitigation and RCA/RCCA, plus prior high-volume payments/accounting data pipeline design with audit-grade integrity checks.”