Vetted Agile Professionals

“CIO-level technology leader (most recently at Sovos) who owned the full tech roadmap across product, infrastructure, and corporate IT, scaling engineering across 14 countries with an architectural review board and standardized security/observability. Hands-on in high-severity incidents (ransomware) while managing executive/client communications, and drove a reported 40% product-velocity lift by adopting AI code assistants and agentic AI (Devin) alongside Kubernetes + Bottlerocket for secure scalability.”

Matthew Allyn

Screened ReferencesStrong rec.

Executive engineering leader specializing in enterprise architecture, cloud, AI, and FinTech

Rolesville, NC24y exp

“Engineering leader with experience modernizing e-commerce platforms and leading product strategy for data-driven franchise growth tools. Notable for scaling distributed teams, making pragmatic build-vs-buy and architecture decisions, and delivering measurable business impact including dramatically faster checkout performance and revenue gains.”

“Operations and transformation leader who ran UPS Security through a major McKinsey-led restructuring, implementing a shared-services/territory-based "Patch of Land" model. Built task/time-based staffing models that enabled a 1K+ headcount reduction and $70M+ in recurring savings, earning the first UPS CEO Change Maker Award. Also mentors emerging leaders with simple, scalable operating rhythms (cadence meetings, decision frameworks, goal tracking).”

“Director of Engineering at Proofpoint for 8 years, leading architecture and integration of Java microservices within a detection platform. Demonstrates pragmatic delivery leadership—incurring short-term cost to meet launch deadlines, then systematically paying down technical debt and optimizing AWS spend—plus a disciplined, long-horizon approach to backward-compatible API/schema evolution across many dependent services.”

“Founder/idea lead behind InvantX, an AI-powered product helping people make better decisions with their own data. Developed the business model canvas and MVP plan, set up an early customer feedback loop, and iterates roadmap/architecture based on beta-user learning. Has participated in accelerators including FinAccelerate, Pegasus, and an NVIDIA program (AWS credits), and applies a metrics-driven, structured approach to traction building.”

Ashi Sinha

Screened

Junior Software Engineer specializing in full-stack and ML/NLP systems

New York City, NY2y exp

“Entry-level full-stack engineer with internship experience at Amazon (Appstore IAP flow + uninstall recommendation workflow) and a health-tech startup (OneVector) where they built a DSUR reporting workflow end-to-end, including document generation, S3-backed versioning/metadata, and secure preview/download. Demonstrates strong production debugging and reliability mindset (instrumentation, deterministic retrieval, idempotent writes) and focuses on UX/performance in high-stakes user flows.”

Ricky Robinson

Screened

Senior Game Animator specializing in cinematic and gameplay character performance

7y exp

“Senior gameplay animator with shipped AAA sports experience (NBA 2K) and WB Games experience, specializing in mocap cleanup/polish that holds up under instant replay and any camera angle. Experienced iterating animations from Maya into UE5 for validation and correct runtime triggering (state machines/blueprints), and known for preserving authentic superstar player nuance even when source data comes from messy machine-learning captures.”

Osvaldo Calles

Screened

Senior Software Engineer specializing in developer tools, cloud automation, and generative AI

Redmond, WA13y exp

“Built and deployed a production chatbot on osvaldocalles.com and iterated through real-world LLM engineering issues: model quota/cost tradeoffs (migrating to Nova Pro), RAG accuracy via semantic chunking, AWS IAM/guardrail/security pitfalls, and Lambda/API Gateway streaming constraints (prefers JS for streaming layer). Experienced with agent orchestration using Strands SDK (AWS-focused) and LangGraph (Vercel/container deployments), plus evaluation pipelines using LLM-as-evaluator, dashboards, and staged model rollouts.”

Nagsen Dahat

Screened

Executive engineering leader specializing in FinTech platforms and cloud-native systems

New York, NY18y exp

“Motivated by the desire to work independently after spending significant time working for others. Demonstrated notable discipline and follow-through by completing a Master's program with great grades while managing a full-time job, family with two children, and a social life.”

“Engineering leader (Director of Development) with hands-on cloud and product experience who builds business-aligned technology roadmaps and scales teams. Delivered an enterprise cloud-migration enabler at UHG by implementing AD authentication and Terraform-based IaC for custom VM images while meeting 90-day InfoSec patch/rotation requirements, and drove a 20% lift in user consumption/retention by designing an interactive branded media portal experience for Sunkist.”

“Product-focused operator with ~20 years experience helping both large companies and newer market entrants launch successful products, with a strong emphasis on disciplined product-market fit in emerging markets. Has personal investing exposure as an LP in two private funds and is researching seed-stage angel investing, and is motivated to found a consumer/software venture built with lean execution and clear defensibility.”

Jared Wiener

Screened

Senior Solutions Architect & Full-Stack Developer specializing in Media & Entertainment on AWS

Santa Monica, CA20y exp

“Engineering/product leader with experience at ABC News and AWS who built newsroom collaboration and internal tooling initiatives into a full department, aligning roadmaps to business outcomes and navigating Disney-scale bureaucracy. Demonstrates hands-on architectural depth in serverless systems (Lambda/SQS/Parquet) and strong distributed-team operating cadence (Kanban/Asana, Jira/GitHub, Zoom/Slack), including leading while frequently traveling to evangelize and test products across bureaus.”

Frank Goodman

Screened

Executive Engineering & Product Leader specializing in Cloud/SaaS observability and security

San Jose, CA31y exp

“Product/technology leader with deep security and cloud infrastructure expertise who drove a major shift from hardware-based networking/security appliances to cloud-native capabilities, growing cloud revenue from $0 to $400M in 4.5 years. Led an innovative eBPF-based approach (“precryption”) to enable lightweight cloud TLS interception/decryption, and has hands-on coding interest (recent Rust work on a personal cybersecurity identity/trust platform).”

“IAM/platform engineer with experience at DocuSign and Siemens who ships production-grade systems end-to-end: built a secure AWS serverless internal employee-profile API (OAuth2/Cognito/WAF) that cut data retrieval from weeks to near-instant and sustained ~2,800 RPS at ~75 ms. Also delivered production AI workflows, including a GPT-4o + Playwright crypto-scam detection agent and an NLP ticket-routing system improved to ~86.7% accuracy with strong monitoring and incident mitigation practices.”

“Candidate is a hands-on engineer using AI as a controlled coding partner rather than an autonomous decision-maker. They have practical experience designing and leading structured multi-agent coding pipelines with specialized roles for code generation, review, and test coverage, and show strong judgment around reliability through schemas, guardrails, reviewer gates, and manual validation.”

“Robotics software engineer with hands-on ROS2 experience building an audio conversion node and integrating Whisper LiveKit for streaming speech-to-text in a simulated hostile (outer space) robot environment. Also worked on a 2023 LiDAR + ML vision obstacle-detection project for a hospital-nurse-assistant robot, and has strong large-scale CI/CD deployment experience from AWS (2022–2024) across alpha/pre-prod/prod stages.”

“AI/LLM engineer who built and productionized an internal RAG-based knowledge system that ingests diverse sources (PDFs, Markdown, Slack), scaled retrieval with distributed FAISS and parallel ingestion, and reduced hallucinations via re-ranking, grounding prompts, and post-generation validation. Also has hands-on orchestration experience with Airflow and Kubernetes for reliable ETL/model pipelines, monitoring, and staged rollouts; reports ~15% accuracy improvement and adoption as the primary internal knowledge tool.”

“Robotics engineer who worked on a lunar rover program, building a simulation environment that mirrored real hardware interfaces and incorporated moon-terrain slip/friction modeling validated against a physical “moon yard.” Also integrated an ML-based munition X-ray inspection system via REST APIs, deploying and scaling inference on Azure with Kubernetes plus Prometheus monitoring, load balancing, and self-healing reliability mechanisms.”

“Engineering leader with experience building point-of-care diagnostics platforms (IoT-connected PCR device delivering results in <15 minutes) and scaling multidisciplinary teams (55+). Has led major data/IoT architecture decisions (multi-cluster Kubernetes with secure routing; Kafka + Gobblin over MQTT) and runs execution with Agile roadmaps tightly aligned to GTM and senior leadership.”