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I am an AI/ML Engineer and Data Scientist with 8+ years of experience building NLP, machine learning, and AI solutions in high-impact government environments. I partner with clients to translate mission-critical challenges into end-to-end analytic solutions. I have led cross-functional teams to deliver solutions that inform diplomatic outreach, economic sanctions, and fraud investigations.…

ALFONSO PANLILIO

Data Scientist, AI Engineer, AI Developer, +3

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I am an AI/ML Engineer and Data Scientist with 8+ years of experience building NLP, machine learning, and AI solutions in high-impact government environments. I partner with clients to translate mission-critical challenges into end-to-end analytic solutions. I have led cross-functional teams to deliver solutions that inform diplomatic outreach, economic sanctions, and fraud investigations.…

Available to hire

I am an AI/ML Engineer and Data Scientist with 8+ years of experience building NLP, machine learning, and AI solutions in high-impact government environments. I partner with clients to translate mission-critical challenges into end-to-end analytic solutions.

I have led cross-functional teams to deliver solutions that inform diplomatic outreach, economic sanctions, and fraud investigations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Consultant - Lead Data Scientist (Department of State) at Deloitte

May 1, 2021 - December 1, 2024

Led a 6-person data science team and architected a scalable Python-based NLP framework for evidence and lead generation using large-scale news scraping, entity detection, relation extraction, and models such as SpaCy, BERT, and REBEL. Trained and evaluated a relation extraction model, improving precision and recall via systematic error analysis and iterative optimization. Built Retrieval-Augmented Generation (RAG) pipelines with LangChain to manage document ingestion, embeddings, vector search, prompt engineering, and structured outputs; deployed on a Kubernetes cluster. Generated entity-centric structured summaries to support diplomatic outreach and sanctions decisions.

Consultant II - Data Scientist (Veteran Affairs - Rapid Prototyping Lab) at ERPi

September 1, 2018 - May 1, 2021

Rapidly developed proof-of-concept NLP analyses for VA hospital appointment survey comments, mapped and categorized comments to service elements, and applied sentiment analysis to label positive, negative, and neutral sentiments; defined processes for continuous evaluation and improvement; contributed to a white paper documenting results and opportunities for growth.

Infrastructure and Solutions Engineer at Freddie Mac

January 1, 2014 - September 1, 2018

Maintained, deployed, and developed enterprise tools for a Tier 4 support team; queried enterprise endpoint data to identify software and version compliance; served as the primary administrator of a profile management system that automates desktop profiles and backups; created and deployed package software for automated enterprise integration, increasing workstation compliance from 10% to 90% within 3–4 weeks.

Senior Consultant - Lead AI/ML Engineer & Data Scientist (Department of State) at Deloitte

May 1, 2021 - December 1, 2024

Led design and deployment of AI/ML and data science products to support Department of State investigations into illicit actors. Mentored and coached a team of 6 data scientists. Architected and deployed a multi-agent Retrieval-Augmented Generation (RAG) system using LangGraph, FAISS, and modern LLMs to orchestrate query decomposition, multi-source retrieval, and entity-centric structured summarization across news articles and reports. Implemented advanced retrieval strategies (hybrid search, re-ranking, graph-based document mapping) to ensure citation, grounding, and provenance tracking. Deployed containerized services on Kubernetes and conducted system-wide audits to monitor inference performance and identify architectural improvements. The system significantly increased investigator efficiency and broadened project scope. Developed a scalable Python NLP framework for evidence and lead generation using large-scale news scraping, entity detection, relation extraction, and ML techniques