Vetted Encryption Professionals

“Infrastructure/platform engineer with end-to-end ownership across Kubernetes and VMware/vSphere, emphasizing automation (Terraform/Ansible), phased upgrades, and reliability validation via testing/failover/monitoring. Has operated hybrid on-prem VMware to AWS environments with VPN/Direct Connect, BGP routing, and security controls, including resolving production connectivity instability and adding redundancy.”

“Backend/platform engineer in healthcare and consulting (Molina Healthcare, TCS) who productionized real-time eligibility/authorization and care navigation workflows with strong reliability and HIPAA security. Demonstrated measurable performance gains (≈40% latency reduction, ~99% uptime) using Spring Boot APIs, SQS decoupling, Redis caching, and deep observability, and regularly leads technical demos that accelerate client adoption.”

“Backend/ML platform engineer who owns end-to-end delivery of ML-serving APIs (FastAPI + TensorFlow) and runs them reliably on Kubernetes using ArgoCD GitOps. Has hands-on experience solving production-only issues (probe tuning for model warm-up, resource profiling) and building scalable Kafka streaming pipelines, plus supporting phased on-prem to AWS migrations with dependency discovery and recreation of hidden jobs/workflows.”

“Exited Founder-CEO with deep-tech experience who raised capital and built a venture around making end-to-end encryption with cloud-level performance and data sovereignty feasible. Demonstrated first-principles technical rigor (network/TCP analysis) to prove scientific feasibility, then progressed from proof of concept to prototype and eventual exit, with a strong bias toward ultra-lean, customer-paid MVPs.”

Phanideep P

Screened

Senior Data Engineer specializing in cloud lakehouse and streaming data platforms

5y exp

“Data platform/data engineer with cross-industry experience in banking and healthcare, building cloud-native lakehouse architectures across AWS/Azure/GCP. Has owned high-volume (millions of records; TB/day) pipelines with strong data quality automation (dbt/Great Expectations), observability (Grafana/Prometheus), and real-time streaming (Kafka/Spark) for fraud monitoring; also delivered an early-stage migration from SQL Server to BigQuery with 40% batch latency reduction.”

Shady Alzayat

Screened

Executive engineering leader and full-stack builder specializing in platforms, payments, and healthcare

San Francisco, CA20y exp

“Serial entrepreneur building appetier.com, an agentic restaurant marketing and ecommerce automation platform for restaurants. Previously raised for Atlas Mental Health and brings thoughtful fundraising perspective centered on investor alignment, GTM partnership, and vertical SaaS/SMB infrastructure expertise.”

“Entrepreneur/fintech product builder who raised a $100K pre-seed from ex-Google/Microsoft execs and built a real-time, direct-to-vendor bill pay micropayments platform. Previously helped scale Norton LifeLock to 1M users (2003) and also created Karma LA, a fraud-resistant, verified donation system (including VA veteran verification) aimed at improving trust and conversion in giving.”

“Backend engineer working on Plumas Bank’s digital modernization, building a FastAPI-based loan origination/processing system with OAuth2/JWT security, AWS Lambda-driven PDF document generation to S3, and MongoDB integration. Has led a legacy workflow migration to a new microservice using dual-write/dual-read and monitoring, and emphasizes multi-tenant isolation via layered API controls plus row-level security.”

“Backend engineer who has built end-to-end data and platform systems across domains: a Scala/Java media data warehouse with a custom query language and Elasticsearch search, plus production security patterns (RBAC, RLS, audit trails) including a telehealth platform. Also demonstrated strong operational rigor by using feature-flagged side-by-side migrations and by catching ecommerce checkout edge cases that were dropping revenue.”

“Built a production GPT-4/LangChain/Pinecone RAG “AI Copilot” at Northern Trust to automate financial report generation and analyst Q&A over internal structured (SQL warehouse) and unstructured policy data. Focused on real-world production challenges—grounding and latency—achieving major speed gains (seconds to milliseconds) via MiniLM embedding optimization and Redis caching, and implemented rigorous testing/evaluation with MLflow-backed metrics while aligning compliance and finance stakeholders for deployment.”

“Cloud/hybrid infrastructure engineer with McKesson experience migrating tightly coupled healthcare applications to microservices on AWS EKS. Strong in IaC-driven standardization, CI/CD automation, and production observability (CloudWatch/Splunk/Prometheus/tracing), with demonstrated ability to debug complex incidents spanning Kubernetes and cloud networking.”

“Backend engineer who has shipped both high-throughput real-time systems and production LLM/RAG features. Built a database-free, local-first messaging service (Node/Express/Socket.IO) achieving ~1,500 msgs/sec at <25ms p95, and implemented a Go-based RAG recommendation pipeline with strict JSON/schema validation, catalog grounding, fallbacks, and eval loops that cut hallucinations to ~1–2% while reducing LLM costs ~60%.”

Ramyasree K

Screened

Mid-level DevOps/Cloud Engineer specializing in AWS infrastructure automation

Boston, MA4y exp

“Frontend engineer with experience building a large-scale React + TypeScript administrative dashboard for an e-commerce platform, using Redux Toolkit plus TanStack Query to separate UI and server state. Emphasizes quality at scale through CI/CD automation, Jest/integration testing, and performance techniques like code splitting and caching, with experience coordinating integration across multiple teams.”

Brian Carroll

Screened

Principal Cybersecurity & Network Infrastructure Leader specializing in cloud, zero trust, and SIEM

Bakersfield, CA20y exp

“Founder of a self-funded IT management consulting practice specializing in security, compliance, and risk engineering for highly regulated sectors (banking/finance, healthcare, energy, defense, telecom). Uses consulting engagements to build repeatable “military-grade” security foundations and identify recurring pain points, with a longer-term goal of transitioning from consulting into a sustained internal team role for deeper impact.”