Philip John Basile

CEO

New York City, New York, United States25 yrs 1 mo experience
AI EnabledHighly Stable

Key Highlights

  • Built AI function from scratch with 458 production tools.
  • Achieved 90% client retention across diverse industries.
  • Led award-winning marketing campaigns with real-time platforms.
Stackforce AI infers this person is a highly skilled AI and Software Engineering expert in Healthcare, E-commerce, and Marketing Technology.

Contact

Skills

Core Skills

Ai EngineeringMachine LearningSoftware EngineeringSystems ArchitectureData ScienceHealthcare TechnologyE-commerceMarketing Technology

Other Skills

Hugging FaceFine-TuningMLOpsAI GovernanceCost OptimizationRAGAI AgentsKubernetesPostgreSQLAWSCybersecurityData EngineeringHIPAA Compliancescikit-learnXGBoost

About

I've shipped everything from classified Air Force mission planners to Cannes Grand Prix campaigns to production LLM agents, and the common thread is the same: I make ambitious tech actually work. 25 years, 40+ production systems, and a career that cuts across classified defense, HIPAA-regulated clinical data, a telehealth platform scaling through its NYSE debut, and award-winning global ad campaigns. Most recently: an entire AI function built from scratch, now running 458 production tools with eval harnesses, governance agents, and the platform architecture powering all client delivery. Production ML and agent design aren't new to me. The LLM era just gave the work a name. Teams up to 20 engineers across 12 time zones. 90% client retention. AI roadmaps owned end-to-end and held to outcomes, not demos. What I work on now: production RAG systems at ~50 QPS and sub-300ms latency. MCP orchestration layers connecting Claude, Jasper, and advertising platforms. Multi-agent content workflows with human approval gates. Evaluation harnesses with 1,100+ tests gating every deployment. Cost-aware model routing that cut inference spend up to 90%. Governance agents that monitor tool use, flag policy violations, and prevent data exfiltration across multi-tenant deployments. Stack: Python, Rust, Go, C++, TypeScript. LangChain, LangGraph, DSPy, Pydantic AI. PyTorch, scikit-learn, Hugging Face. Pinecone, pgvector, FAISS. AWS, Azure, GCP. Docker, Kubernetes, Terraform. Open to Principal AI Engineer, Staff AI Engineer, and VP of AI roles. US remote.

Experience

25 yrs 1 mo
Total Experience
5 yrs 8 mos
Average Tenure
3 yrs 2 mos
Current Experience

Basilecom

2 roles

Principal AI Engineer

Promoted

Mar 2023Present · 3 yrs 2 mos · New Rochelle, New York, United States

  • Full AI engineering function from architecture and model selection through deployment and governance.
  • $10M+ attributable client revenue through AI product launches, demand generation, and marketing automation
  • Built the AI stack (MCP orchestration, RAG pipelines, eval harnesses, governance agents) from zero to 458 production tools in under two years
  • 458-tool MCP orchestration layer enabling bidirectional workflows between Claude and Jasper AI, reducing research time 87% and A/B variant creation 98%
  • Shipped Computer Use agent workflows (Anthropic Agent SDK) for browser automation and legacy web apps lacking APIs
  • 5 production RAG systems at ~50 QPS and sub-300ms P95 latency with agentic retrieval patterns, improving accuracy 40% and cutting inference cost 65%
  • Serverless RAG on AWS Lambda + Bedrock processing 100K+ queries/month at ~70% lower cost than EC2
  • Cost-aware model routing across LLM providers with SLMs for high-volume subtasks and prompt caching cutting costs up to 90%
  • Eval harness (RAGAS, LangSmith, Promptfoo) with 1,104 tests across 29 suites as CI/CD hard stops gating hallucination, latency, quality, and cost
  • Governance agents (Llama Guard, NeMo Guardrails) monitoring tool use, flagging policy violations, and tracing agent decision chains via Prometheus
  • Self-healing agent architectures: circuit breakers, rate limiting, priority queues, automatic failure recovery
  • Multi-tenant knowledge base with per-client isolation for ABM, syncing brand guidelines and briefs across AI platforms via S3
  • Assessed 6 ad platforms (Google, Meta, LinkedIn, DV360, TTD, Reddit) and 3 budget tools to define AI-driven campaign automation foundation
  • Stable Diffusion and Adobe Firefly in multimodal creative pipelines, cutting asset production time ~40%
  • 15 years of game AI (UE5, Unity) provided the design vocabulary for production LLM agent orchestration
Hugging FaceFine-TuningMLOpsAI GovernanceCost OptimizationAI Engineering+1

Staff Software Engineer

Apr 2001Mar 2023 · 21 yrs 11 mos · New Rochelle, New York, United States

  • Founder and principal engineer. Over 22 years the engagements grew from early web platforms to enterprise search at IBM, classified mission planning for the Air Force, critical infrastructure cybersecurity at Dragos, and global logistics at Atlas Air.
  • 40+ production systems, ~90% client retention, 75% repeat business for IBM, U.S. Air Force, Dragos, Phoenix Contact, Publicis Groupe, Atlas Air, Fox Sports, Bayer HealthCare, ADP, IFF, FIS, Shubert Ticketing, and Bremer Bank
  • IBM global search modernization: 3x query performance, 80% cost reduction, direct commendation from the IBM CTO
  • Green-field mission-planning tool for U.S. Air Force Air Mobility Command (AMC DMR) at Scott AFB in a classified AWS environment
  • "Hawk" system for Atlas Air centralizing global flight scheduling, cargo logistics, crew management, and compliance
  • AWS SageMaker and Azure Cognitive Services/ML/Databricks for predictive insights, identity management, and audience targeting
  • Cybersecurity and data platforms for critical infrastructure at Dragos (ICS/OT security)
  • Mission-critical Rust and Go platforms achieving 99.9% uptime for defense and logistics clients
  • Games and simulations in Unity (2010) and Unreal Engine (2014), shipping behavior trees, AI perception, and real-time multiplayer
  • Distributed teams of 4-20 engineers across 12 time zones, coaching 5 engineers to senior roles
  • 3-year technical advisor for Polywork (Product Hunt Golden Kitty, 50K+ users in 48 hours)
KubernetesPostgreSQLAWSCybersecuritySoftware EngineeringSystems Architecture

Integramed fertility

Senior Full Stack Engineer And Data Scientist

May 2017Nov 2018 · 1 yr 6 mos · Purchase, New York, United States · On-site

  • First dedicated ML role: predictive models on clinical data with real regulatory constraints and real patient outcomes. Built HIPAA, SOC 2, and PCI DSS compliant platform for 50+ clinics processing 40K+ IVF cycles annually with $100M+ in patient financing at 99.9% uptime.
  • Developed ensemble ML models (scikit-learn, XGBoost) over 200+ clinical features improving IVF success prediction ~30%, generating $5M+ revenue impact through optimized treatment protocols
  • Built real-time dashboards using WebSockets, Redis, and D3 processing 100K+ daily transactions at sub-second latency for 50+ clinics, with zero-downtime integration of 9 acquired clinics and 50K+ patient records
  • Migrated 20+ legacy services to Dockerized Node.js/React microservices, cutting infrastructure costs ~40% and compressing deployment cycles from days to hours
Data EngineeringHIPAA ComplianceMachine LearningData ScienceHealthcare Technology

Teladoc health

Senior Full Stack Engineer

Jun 2015Apr 2016 · 10 mos · Purchase, New York, United States

  • Teladoc was sprinting toward its NYSE debut and the platform had to scale as fast as the membership rolls. It did.
  • Helped scale telehealth platform through NYSE debut from 12.2M to 15.1M members and 240K+ quarterly visits under real growth pressure
  • Spearheaded initiative to replace Ruby on Rails backend with Elixir and Phoenix, leveraging BEAM VM concurrency and fault tolerance for real-time telehealth operations at scale
  • Built Python ETL pipelines with anomaly detection processing 1M+ patient records/month, reducing diagnosis time ~25%; developed React/Redux/TypeScript frontend with WebRTC supporting ~50K concurrent sessions
  • Led the API integration of Teladoc's virtual care workflows with CVS Health's MinuteClinic pilot, extending telehealth into retail clinics nationwide; platform achieved the industry's first NCQA telehealth credentialing
Data EngineeringHIPAA CompliancePythonSoftware EngineeringHealthcare Technology

Baublebar inc.

Senior Full Stack Engineer

Feb 2013Nov 2014 · 1 yr 9 mos · New York, New York, United States

  • First technical hire at a venture-backed startup that went from scrappy to $10M+ in revenue on my watch. I built the platform, the celebrity launch infrastructure, and sat on the panel that hired our CTO.
  • First technical hire; re-architected legacy e-commerce monolith into a mobile-first platform with Python-driven personalization and Redis caching, driving $10M+ revenue and 30% conversion rate improvement
  • Built viral celebrity launch sites (Emma Roberts, Cara Delevingne, Coco Rocha, Ashley Madekwe, Harley Viera-Newton, Nina Garcia, Erin Wasson, and others) with CDN, load balancing, and real-time analytics supporting 100K+ concurrent users
  • Served on the executive search panel for the company's new CTO, interviewing and evaluating candidates alongside the board
A/B TestingPythonSoftware EngineeringE-commerce

360i

Senior Full Stack Engineer

Aug 2010Feb 2013 · 2 yrs 6 mos · New York, New York, United States

  • The Dentsu agency was winning Agency of the Year awards and I was the engineer behind the campaigns. Real-time marketing before the term existed, for brands the entire industry was watching.
  • Led engineering for Cannes Grand Prix and SABRE Gold winning campaigns during Agency of the Year era: Oreo Daily Twist (including the Super Bowl blackout real-time response), Oscar Mayer Bacon Barter, Coca-Cola Polar Bowl, plus platforms for Marvel, NBC, and National Geographic
  • Built real-time marketing platforms with Python/Django, Node.js, Redis, and WebSockets handling millions of concurrent users; analytics and sentiment dashboards enabling sub-5-minute content decisions
PythonREST APIsSoftware EngineeringMarketing Technology

Education

Fordham University

Bachelor of Science — Computer Science

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