Vetted Cost Optimization Professionals

“Hands-on engineer focused on productionizing LLM-powered assistants: builds RAG pipelines with guardrails, response schemas, and citation-grounded outputs, then hardens them with explicit NFRs (latency, uptime, security, cost). Experienced diagnosing agentic/LLM workflow issues in real time using observability and stepwise isolation, and supports go-to-market via developer demos, workshops, and pre-sales technical evaluations in microservices/Spring Boot environments.”

Ambuk Rehani

Screened

Mid-level AI/Backend Engineer specializing in RAG and data platforms

Dallas, TX7y exp

“Built and shipped a production LLM-powered financial Q&A interface that extracts precise numeric data from PDFs using a hybrid AWS Textract + LLM normalization pipeline, with confidence gating and guardrails to prevent unreliable answers. Experienced with LangChain-based RAG orchestration (chunking, memory, structured outputs) and collaborated closely with PMs/analysts on IRS Form 990 extraction requirements.”

Mayank Srivastava

Screened

Director of Technology Transformation specializing in ERP, Cloud & Cybersecurity

India23y exp

“Senior technology leader focused on joining existing organizations to build and scale products rather than founding at all costs. Has turned a recurring manual data-process bottleneck into a production platform by validating via user interviews, integrating with legacy systems through phased decoupling, and improving reliability with strong data validation/observability while driving cross-team adoption.”

Erik Arriaga

Screened

Mid-level Data Engineer specializing in cloud data pipelines and machine learning

Austin, TX4y exp

“Experience spans college-built AWS-hosted Python/Flask web apps and enterprise data work at General Motors, including PostgreSQL query optimization on millions of records and multi-tenant-style data isolation using group-based, column-level permission grants. Also built an AWS-hosted meat price prediction dashboard using Dash/Plotly and ran large nightly data pipelines orchestrated with Apache Airflow.”

Hy Serure

Screened

Executive Technology Leader & Architect specializing in enterprise digital transformation

Oakhurst, NJ29y exp

“Longtime S-Corp founder (20+ years) who evolved from running a web agency to becoming a Shopify expert contracted by agencies/brands to upskill teams and lead enterprise eCommerce builds. Recently built and launched a payment-links/QR-code web app in weeks that gained 20 users on day one without advertising; now looking to pivot toward building a scalable product business not tied to hourly contracting.”

Emmanuel Bakwowi

Screened

Senior DevSecOps Engineer specializing in multi-cloud Kubernetes and CI/CD automation

New York, NY10y exp

“Cloud/DevOps engineer operating across AWS and Azure, running Kubernetes workloads with secure CI/CD (GitHub Actions/Azure DevOps) and Terraform IaC. Has supported AIX/PowerHA systems in hybrid environments—handling failover testing, incident recovery, and performance troubleshooting (including multipath/storage-path issues)—and has led cutovers by managing dependencies, rollback, and stabilization.”

Umair Khokhar

Screened

Director-level Engineering Leader specializing in AI Platforms for Enterprise B2B SaaS

San Francisco, CA15y exp

“Technical leader/player-coach who architected and shipped an end-to-end computer vision pricing system for a major North American auto seller, using Go + Ray + AWS SageMaker in a low-latency distributed inference architecture. Strong in production governance (logs/tracing/guardrails/AppSec), reliability incident ownership (DNS limits affecting 20% traffic), and measurable delivery acceleration (deployment cycle 16→4 days; delivery speed 5→2 days) through process optimization and AI-assisted enablement.”

“Repeat founding-team contributor with hands-on experience helping startups build prototypes and MVPs that support fundraising. Currently developing an enterprise AI governance engine to make AI agent decisions deterministic under user-defined policies, with an MVP and investor feedback process planned.”

Jason Gagne

Screened

Executive full-stack engineer specializing in AI, EdTech, and zero-to-one platforms

Remote, USA10y exp

“EdTech-focused startup builder and technical leader who built writing.io from zero to one and scaled it to 200k learners, later creating MindyRoad, an AI-heavy homeschool platform originally for his own family. Former Chief Architect at ParentSquare, bringing a rare mix of hands-on product execution, architecture leadership, and deep enthusiasm for transforming legacy industries.”

“Entrepreneurial product builder who created chaintrigger.com in response to early Web3 demand for real-time on-chain event reactions, offering an alternative to The Graph Protocol and achieving adoption among games and other Web3 projects. Currently developing new tools, dogfooding internally, and building distribution via personal network and a niche Twitter/X following to gather feedback and iterate quickly.”