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Frank Cancedda

About Me

I'm Frank Cancedda — a tech lead and platform engineer who owns technical roadmaps, makes architecture calls, and builds the systems that teams depend on.

Mission

Ship fast, stay secure, and make complex systems feel simple for the teams who rely on them.

Timeline

Professional Summary

Tech lead and platform engineer with 3+ years building and operating production Kubernetes infrastructure, AI inference systems, and CI/CD pipelines at scale. I own technical roadmaps, make architecture calls, mentor engineers, and build the tooling that makes teams ship faster. M.S. Data Science (2022). Comfortable across the full stack — from Next.js frontends to Python/Java services to GPU inference workloads.

What I Do

  • Platform engineering: Kubernetes, Helm, observability, secure supply-chain.
  • DevEx & CI/CD: GitLab pipelines, previews, release automation.
  • Full-stack delivery: Next.js frontends, API design, performance.
  • MLOps: model serving, runtime optimization, monitoring.

Recent Wins

  • Cut deploy time by introducing standardized GitLab CI/CD and IaC templates.
  • Stabilized AI inference by hardening runtime images and right-sizing GPU/CPU footprints.
  • Improved frontend responsiveness with lazy rendering and smarter batching.

Graduate Projects (2020-2022)

  • 2022RAG with PGVector + TensorRT-LLM
    Integrated RAG into Java Spring Boot, configured PGVector for vector stores, deployed NVIDIA Triton, and secured data exchange with JWT.
  • 2022Bird Migration Analysis
    Applied NDVI, hotspot analysis (Getis-Ord Gi*), and ToMATo clustering to study American Goldfinch migration patterns.
  • 2021Fairness in Recommenders
    Implemented and debiased NCF models to improve group fairness while maintaining accuracy.
Want a current resume or more details? Reach out via email.

Professional Development (2020-2022)

  • Certs/Learning: DataQuest coursework; ongoing Python/ML, data viz
  • Homelab: Kubernetes cluster, Traefik, Authelia SSO, GitOps
  • DevOps: GitLab CI/CD pipelines, container hardening
  • MLOps: model serving experiments (Triton, vLLM) at home

Experience

Tech Lead · Senior Platform Engineer
Sep 2022 - Present · New York (Remote)
  • Led a small engineering team - owned the technical roadmap, made architecture calls, and mentored junior and senior developers.
  • Built a Tilt + k3d orchestration platform mirroring compliance-grade production environments, bringing the full AI inference stack (vLLM, Triton, Keycloak, Istio) to a single tilt up.
  • Architected and shipped AWS/EKS microservices with Helm; automated IaC with Terraform and Ansible.
  • Implemented GitLab CI/CD and release pipelines, reducing deployment time and improving auditability.
  • Hardened and deployed Triton Inference Server for secure AI inference in regulated environments.
University at Albany, SUNY - Research Support Specialist
Jun 2019 - Jan 2020 · Albany, NY
  • Built data pipelines integrating FEMA, NOAA, and social APIs; parsed XML/JSON with Python.
  • Developed secure alerting and categorization pipelines; collaborated with mobile teams.

Selected Skills

  • DevOps: GitLab CI/CD, Terraform, Ansible, Helm, ArgoCD
  • Platforms: Kubernetes (EKS, OpenShift), AWS
  • AI/MLOps: Triton, TensorRT-LLM, vLLM
  • Languages: Python, Java, Go, TypeScript
  • Security: container security, supply-chain hardening, vulnerability mitigation, JWT