Vetted Requirements Gathering Professionals

“Architect/product owner/lead developer who built high-scale ERP supply chain and inventory transaction capabilities (including order-to-order pegging) with strong performance tuning in Postgres and robust monitoring/reprocessing dashboards. Also led product for an enterprise agentic development platform using LLM integrations to generate user stories, data models, workflows, and RBAC-secured applications, with sandboxing and promotion guardrails plus UAT across technical and non-technical personas.”

Danielle Henry

Screened ReferencesStrong rec.

Director of Project Management specializing in enterprise transformation and culture strategy

New York, NY12y exp

“Implementation/project management leader with experience in Weight Watchers' business solutions division managing ~44 strategic client accounts across marketing, tech, business ops, and executive leadership. As Director of Project Management at Tier One Solutions Group, proactively implemented Microsoft Project to improve executive visibility and deadline adherence; brings a leadership psychology lens to driving clarity, accountability, and discretion as a Chief of Staff-style partner.”

Mark Thomas

Screened ReferencesStrong rec.

Director-level software architect specializing in cloud, distributed systems, and healthcare IT

McCalla, AL20y exp

“Startup veteran with experience at seven companies since 2004 and direct exposure to Birmingham's Innovation Depot accelerator through three different startups. Has worked closely with investment teams on MVPs and pitch decks and brings a pragmatic lens to evaluating ventures through need, margins, burn rate, cash position, and sales growth strategy.”

Jennie Ocken

Screened ReferencesStrong rec.

Director-level product leader specializing in enterprise SaaS platforms

Remote, MN19y exp

“Senior product leader with a standout track record in large-scale platform transformation at CHR, where they unified fragmented logistics products into a single customer platform serving ~200,000 users. Combines executive-level product strategy, UX transformation, AI/ML workflow integration, and people leadership, with measurable outcomes including 9,000 customer migrations, 13% CX improvement, and $2M in annual cost savings.”

“Former CTO at Enodo who led development of programmatic parsers to extract unstructured data from real-estate financial documents (rent rolls and T12s), validating with users via prototypes before productionizing. Emphasizes accuracy-driven engineering and scalable test-suite growth based on real user samples, and has experience scoping complex product ideas (e.g., browser-based narrative editor) down to an MVP.”

Trevor Peace

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in Healthcare IT

San Francisco, CA27y exp

“Founding/sole engineer who has built multiple healthcare products from scratch, spanning medical billing, cardiology triage, and cardiac device monitoring. Particularly compelling for healthtech and AI roles: they combine full-stack TypeScript/AWS execution with strong product judgment in regulated settings, including shipping voice-enabled RAG workflows and rejecting unsafe AI automation when simpler human-in-the-loop UX was the right answer.”

Vigneshwari Shankiri

Screened ReferencesStrong rec.

Senior Java Full-Stack Developer specializing in microservices and cloud platforms

5y exp

“Frontend engineer who has led enterprise-scale UI delivery end-to-end on a microservices platform, designing modular Angular SPAs (v12-17) tightly aligned to Spring Boot REST APIs. Emphasizes quality and release velocity through layered testing (Karma/Jasmine), CI/CD automation (Jenkins/Azure DevOps), performance tuning with RxJS/lazy loading, and incremental rollouts with close product/design/QA collaboration.”

Sandhya Yadavalli

Screened

Mid-level Cybersecurity Analyst specializing in SIEM, incident response, and Zero Trust

Remote, USA3y exp

“Cybersecurity/SOC-focused engineer with hands-on production experience integrating and tuning Splunk Enterprise Security for a zero-trust program, including CIM normalization, correlation/risk-based detection tuning, and performance optimization via forwarder-level filtering and index strategy. Has cross-disciplinary incident troubleshooting experience spanning SIEM, networking, and hardware, and has automated customer/team-specific security workflows using Python in Splunk playbooks; collaborated on-site with HSBC IT/SOC teams to deliver dashboards and security policies.”

“Built and productionized an LLM-driven document verification workflow for a construction firm’s submittals process, moving from a Vercel/Next.js prototype to a FastAPI + LangChain/LangGraph backend with background workers and multi-server deployment. Uses LLM tools (e.g., OpenAI Codex/Cloud Code) for rapid development and log-driven root cause analysis, and partners with customer teams on evaluation metrics and iterative improvements.”

“Healthcare-focused software engineer/lead who has delivered customer-facing portals and internal call-center tools, including rebuilding a legacy Adobe Flash call center app into a modern TypeScript frontend with NgRx state management. Experienced leading onshore/offshore teams, integrating healthcare APIs, and driving adoption by visiting call centers to capture user workflows and bake them into regression testing—work that proved especially valuable during COVID-era shifts to video appointments.”

Reza Mawardana

Screened ReferencesStrong rec.

Mid-level Software QA Engineer specializing in Insurance and HRIS, transitioning to SDET

7y exp

“QA-minded candidate with unusually deep, self-driven experimentation in game mechanics (RNG and EXP optimization) using emulators and save-state methodology, translating that same rigor into production release verification and bug triage practices. Has experience in embedded QA and proactively proposed a centralized QA model with sharing sessions to improve coverage during absences; uses AI tools to speed up Jira documentation and test case creation.”

“Senior/Team Lead SDR at Rippling with top performance (President’s Club FY2025), credited with sourcing the largest closed-won deal in company history and generating $7.95M pipeline / $2.45M closed-won. Previously spent ~8 years in full-cycle recruiting across internal (Hyatt) and agency (Randstad, Kforce) including tech/finance, known for data-driven stakeholder management and persistence on difficult searches (e.g., hard-to-fill Linux Engineer role resulting in offer and later FTE conversion).”

“ML/AI engineer with hands-on experience shipping production computer vision and GenAI systems, including a fabric defect detection platform that combined vision models with agentic LLM workflows to reach 89% human-inspector agreement at 200 ms latency. Also built a RAG-based code QA tool for developers and emphasizes production monitoring, evaluation, caching, and reusable Python service design.”

Lavrenti DeLavrenti

Screened ReferencesStrong rec.

Director-level Technology Leader specializing in cloud-native platforms, AI/ML, and SaaS

Remote15y exp

“Engineering leader (Director/VP level) who has repeatedly aligned product and engineering through ROI-driven quarterly roadmaps and strong stakeholder communication, including board presentations. Built a parallel cloud team to migrate an on-prem product to the cloud, credited with delivering $9M ARR, and led a Python monolith-to-serverless event-driven microservices transformation. Currently manages distributed teams across Mexico, India, and the US using pod-based structures, clear KPIs, and a supportive accountability culture.”

Carlos Arambula

Screened ReferencesStrong rec.

Principal & Senior Brand/Marketing Leader specializing in go-to-market, multicultural and digital growth

Manhattan Beach, CA37y exp

“Brand and growth marketer with experience spanning global CPG and corporate brands through to healthcare/pharma and financial services. Known for consumer-insight-led repositioning and measurable, digital-first acquisition (notably CTV), plus executing U.S. market entry and scaling distribution into major retailers and pharmacies within months.”

suparshwa patil

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in AI platforms and full-stack systems

Santa Clara, CA4y exp

“Built and shipped a production AI-powered Q&A/RAG onboarding assistant at One Community Global that unified knowledge across Notion, Google Docs, and Slack, cutting volunteer onboarding time by 45%. Demonstrates strong end-to-end ownership: LangChain agent orchestration integrated into a FastAPI backend, rigorous evaluation (200-query dataset, ~85% accuracy), and production feedback/monitoring with source-attributed answers to build user trust.”

“Implementation leader with 7 years of client-facing experience delivering source-to-pay and contract management SaaS projects, including full ownership of governance, configuration, integrations, migration, and training. At Intelagree, managed 6-10 concurrent CLM implementations end-to-end and regularly worked with legal, procurement, IT, and C-level stakeholders to drive complex enterprise go-lives.”

“Product leader and former co-founder with hands-on experience shipping enterprise AI products, including Llama-based internal agents, RAG chat interfaces, and workflow automation tools. Has led product, engineering, and data science teams across startups and larger organizations, with a strong track record of mentoring talent and using AI to improve human efficiency rather than replace people.”

Greg Kissner

Screened ReferencesStrong rec.

Senior Multimedia Producer specializing in marketing, promotions, and training content

Columbus, OH18y exp

“Experienced editor/motion graphics professional with deep Adobe Premiere Pro and After Effects expertise spanning broadcast TV spots, music videos, social/web content, and feature-length films. Notably worked on the YouTube channel Black20—nominated for Best Web Series and awarded G4TV's "Kings of DotComedy"—with videos reaching millions of viewers.”

Guillermo Salas

Screened ReferencesStrong rec.

Executive software engineering leader specializing in AI-augmented Healthcare SaaS platforms

Elm Grove, WI15y exp

“VP-level software engineering leader in a private-equity-backed company, overseeing a 50+ person org through aggressive growth and operational efficiency goals. Particularly strong in building the operating system around engineering—product-to-engineering governance, AI-augmented SDLC practices, ADRs, and feature-flag-driven delivery—to reduce ambiguity, dependency on institutional knowledge, and cycle time.”

“Implementation project manager with 10+ years delivering complex SaaS programs in healthcare and fintech, including payment integrations, onboarding, migrations, and operational/clinical workflow initiatives. Has owned 4-6 concurrent enterprise implementations at CVS and Fiserv, with strong executive reporting, governance, and cross-functional delivery through go-live.”

Manasa Pantra

Screened ReferencesStrong rec.

Junior Software Engineer specializing in AI, LLM systems, and full-stack development

Stony Brook, NY2y exp

“Product-focused full-stack engineer at startup (Zippy) who shipped a production multi-agent AI system for restaurant operations plus payments workflows. Built end-to-end: RAG grounded on a Notion knowledge base, structured function-calling task routing, FastAPI/JWT multi-tenant backend, and a polished React+TypeScript owner dashboard. Has real production incident experience (duplicate Stripe webhooks) and reports ~94% task-routing accuracy under load.”

“LLM/agentic workflow specialist with healthcare deployment experience who has taken LLM-based automation from prototype to production using operator-in-the-loop validation, RAG-style retrieval, RBAC, and monitoring for sensitive data compliance. Demonstrated real-time incident resolution (retrieval timeouts due to network/proxy misconfig) and strong GTM support—hands-on developer workshops and sales demos translating technical safeguards and real-time ETL into measurable ROI (70% ops reduction, ~$200K/year savings).”

“Co-founded a healthcare AI startup building and deploying software directly with end users, emphasizing rapid shipping, deep user interviews, and workflow-first adoption. Has hands-on production deployment experience on AWS (including diagnosing a silent AWS App Runner failure caused by an ARM vs amd64 Docker build mismatch) and is motivated by customer-facing, travel-heavy roles to keep engineering tightly connected to real-world usage.”