Candidate ID: #4
Location: Georgia

EMPLOYMENT SUMMARY

• Current/Most Recent: 4+ years (Sep. 2021 – Present) as Lead AI/ML Engineer at Booz Allen Hamilton, serving as Lead AI Scientist/SME for Databricks, Azure ML, and R/Posit across healthcare and federal divisions
• Past: 8+ years total in AI/ML including Senior Consultant roles at RGP and CGI spanning predictive modeling, production data support, and large-scale AWS analytics – Azure AI Engineer, Azure Data Scientist, AWS ML Specialty, and NVIDIA DLI certified; dual master’s degrees (Computer Science; Data Science)

ACCOMPLISHMENTS

• Multi-Agent Federal Chatbot – Designed a multi-agent CDC chatbot on Azure OpenAI GPT with RAG (Azure Cognitive Search), dual-agent routing between public web and confidential intranet repositories, RBAC, and audit logging, deployed on AKS
• Healthcare Computer Vision – Led the Automated Pain Pattern Detection project, building a full CV pipeline (OpenCV, TensorFlow, Azure ML) that converts scanned BPI body maps into structured clinical datasets using a 74-zone CHOIR-based anatomical mapping system
• Voice AI – Contributed to an AI voice agent prototype integrating ASR, LLM reasoning, and TTS over Twilio/WebRTC streaming pipelines with barge-in behavior and function calling
• Agentic AI & MLOps Stack – Expert in LangChain/LangGraph, Semantic Kernel, CrewAI, RAG with pgvector/FAISS/Qdrant, LoRA/QLoRA fine-tuning, and MLOps (MLflow, Kubeflow, Seldon, AKS, Terraform) with observability via Grafana/OpenTelemetry