Vetted Requirements Gathering Professionals

“Cross-functional operator/chief-of-staff style leader who took a product from prototype to a live pilot in 3 months, spanning public-sector data normalization, an ML matching engine, a secure API, and KPI/investor demo instrumentation. Strong focus on executive alignment and productivity via Notion-based operating systems plus automated reporting (Python/Power BI), with experience supporting fundraising and go-to-market narratives.”

“Backend/security-focused engineer from VeroTX who built an IdP service (Spring Boot + MongoDB on GCP) for an AI workflow platform and drove major latency improvements via caching and query/index optimization. Also shipped an AI loan-processing agent using LangChain/LangGraph, owning the document ingestion + vector database layer and designing a reliable multi-step workflow with retries, monitoring, and human-in-the-loop safeguards.”

Avi Gottlieb

Screened

Mid-level Funding & Business Development professional specializing in SMB finance and SaaS sales

Brooklyn, NY6y exp

“Sales/BD professional from startup environment (Gigaspaces) who personally owned outbound motions and built multi-step, multi-channel sequences that produced record-breaking quality meetings. Uses LinkedIn Sales Navigator for targeted prospect research, prioritizes C-level decision makers, and applies A/B testing plus AI/automation to scale and improve messaging performance.”

Sonam Chhatani

Screened

Mid-level AI Engineer specializing in causal inference and LLM research

New York, USA8y exp

“LLM engineer who has deployed a production system combining LLMs with causal inference (DoWhy) to enable counterfactual “what-if” analysis for experimental research, including a robust variable-mapping/validation layer to reduce hallucinations. Also partnered with non-technical operations leadership at Irriion Technologies to deliver an AI-assisted onboarding workflow that cut onboarding time by 50% and reduced manual errors by ~40%.”

Lincoln Oh

Screened

Mid-level Full-Stack/MES Software Engineer specializing in manufacturing systems

Glendale, KY5y exp

“Software engineer with hands-on experience delivering production-floor applications in manufacturing environments: built a PDA-friendly web app integrated with Oracle PL/SQL and deployed it on-site in a live warehouse, then iterated via tight feedback loops. Also rebuilt a broken assembly QR label printing workflow as a WPF Windows desktop tool and rolled it out across factory processes with operator training; additionally built a TypeScript/Node/Express/MongoDB app deployed on AWS (EC2/S3).”

“Analytics candidate with hands-on experience turning messy retail/customer data into clean reporting tables using SQL and PostgreSQL, then extending the work into Python-based reusable analysis workflows. They have applied segmentation, cohort analysis, and retention metric design to support dashboards and improve targeting, engagement, and repeat purchase performance.”

Ruslan Labza

Screened

Mid-level Full-Stack Engineer specializing in modern web applications

San Francisco, CA6y exp

“Built and launched a production AI chat assistant inside a data processing platform, focused on helping users understand large table outputs and job results faster. Brings strong end-to-end product engineering across React/TypeScript frontend, backend APIs, and LLM integration, with a clear emphasis on reliability, safe behavior, and iterative quality improvements after launch.”

Saswata Deb

Screened

Mid Backend Engineer specializing in AI systems and LLM infrastructure

India4y exp

“Early-to-growth-stage B2B SaaS engineer from Sentisum who combined Python backend, data pipeline, and applied AI work with direct customer-facing product input. Particularly compelling for startup roles: they owned systems end-to-end, migrated transcription infrastructure to cut costs by ~93%, and built scalable async export and data-processing workflows over large enterprise conversation datasets.”

Irina Morris

Screened

Senior Full-Stack Engineer specializing in scalable web platforms and cloud migrations

Remote11y exp

“Full-stack architect/engineer with startup and Meta experience who built a real-time school safety and lockdown coordination platform used by schools and emergency organizations. Particularly compelling for roles requiring ownership in ambiguous environments, real-time systems design, and configurable B2B SaaS platforms in high-stakes domains.”

Ethan Ligi

Screened

Junior Full-Stack Software Engineer specializing in web and cloud applications

Prospect, CT2y exp

“Frontend developer who described building a security-conscious admin dashboard login and event management interface using React, TypeScript, Astro Islands, Tailwind, and an AWS serverless stack. Notable for combining SEO-friendly frontend architecture with budget-aware infrastructure choices for a small-usage business application.”

“Backend/data engineer with hands-on production experience across Python/Flask microservices and AWS serverless/data platforms (Lambda, DynamoDB, S3, Glue/PySpark). Demonstrated strong reliability and operations mindset (JWT/RBAC, retries/timeouts/circuit breakers, CloudWatch/SNS alerting) and measurable performance wins (SQL report runtime cut from 10 minutes to 30 seconds). Seeking ~$150k base and cannot travel for onsite meetings for the next 5–6 months due to family medical constraints.”

“UK-based Unity developer who served as the sole developer building VR training scenarios for the oil & gas industry, deploying to Meta Quest and Pico 4 via OpenXR. Experienced translating complex real-world procedures (e.g., offshore rigging/lifting) into interactive VR flows using storyboards, C# scripting, and iterative client testing; also built a Unity web-based SCORM-compliant training course integrating with a SCORM backend via JavaScript.”

Darion Jefferson

Screened

Mid-level IT & Cloud Security Specialist specializing in GRC, SOC workflows, and agentic AI automation

Petersburg, VA4y exp

“Builder/creator who ships practical AI automations and content workflows: created a no-backend website that uses ChatGPT to generate AI agents/manual workflows, and built an inbound/outbound receptionist using n8n and Retell AI (later migrated to Retell workflows). Also produces an AI-written/produced podcast with 55+ hosts and uses tools like Descript and Sora with make.com for batch content creation and scheduling.”

“Backend-focused engineer with experience at Ramp, Easebuzz, and George Mason University, spanning data pipelines, workflow automation, and production reliability. Stands out for quantifiable performance gains, strong debugging instincts in distributed job systems, and translating ambiguous finance operations processes into measurable automation outcomes.”

Sarah Johnson

Screened

Senior Software Engineer specializing in web applications for aerospace and insurance

8y exp

“Frontend engineer with hands-on experience building complex React/TypeScript workflows in insurance and interactive Cesium-based geospatial applications. Stands out for combining UI implementation with business-rule enforcement, shared component library improvements, and pragmatic performance decisions across both frontend behavior and database design.”

Eric Kerney

Screened

Senior Software Engineer specializing in geospatial and AI platforms

Kalamazoo, MI16y exp

“Full-stack product engineer with a strong geospatial/mapping focus who has built marketplace features, AI-enabled mapping MVPs, and Python API tooling in startup and client-services environments. Notable for combining React/Next.js front-end work with Python, spatial databases, and practical architecture/debugging decisions for enterprise-facing products used by customers such as Walmart and UPS.”

Max Bachaud

Screened

Senior Systems Architect specializing in AI infrastructure and LLM platforms

Pleasanton, CA13y exp

“Hands-on hardware operations and support professional with experience spanning tracking systems, OBD devices, custom PC builds, and field deployment design. Particularly strong in identifying failure modes early, building practical RMA/diagnostic processes, and balancing unit economics against real-world reliability in deployed hardware products.”

“Product/BA-oriented builder who combines AI tools, lightweight web delivery, and workflow design to turn ambiguous needs into usable solutions. Has experience spanning GitHub content intelligence dashboards, AI-agent customer training prototypes, federal healthcare cloud onboarding at the VA, and modernization of a black-box MS Access process into a transparent online workflow for the Millennium Challenge Corporation.”

Manish Shukla

Screened

Senior AI Product Manager specializing in healthcare and FinTech automation

Santa Clara, CA13y exp

“Bay Area-based consultant with 15 years spanning senior product management and product delivery, focused on digital transformation, automation, and legacy modernization. He brings regulated-domain experience with Kaiser Permanente, Express Scripts, and OrthoBank, plus practical AI prototyping experience in insurance document classification using TensorFlow and workflow-focused product design.”

“Built and owned a Python/FastAPI backend for a custom translation service used in a showroom application, integrating DynamoDB and connecting the service to a SPA/Next.js frontend. Has exposure to Kubernetes-based deployments and GitHub Actions CI/CD, and contributed to planning an on-prem to cloud/SaaS migration at Sherwin-Williams by gathering requirements across multiple plants/factories.”

“Application security and customer-facing delivery professional with deep experience in eCourt/public portal modernization, protecting sealed records and PII under statutory constraints. Has led threat modeling, phased remediation/risk acceptance to hit legislatively mandated launch dates, and implemented SAST/DAST/SCA programs in CI/CD on AWS/EKS with strong observability-driven troubleshooting and stakeholder alignment.”

Yanet Fernandez

Screened

Junior Data Analyst specializing in healthcare analytics

Fort Myers, FL2y exp

“Analytics/data professional with hands-on experience turning messy semi-structured CRM JSON data in Snowflake into clean reporting layers using SQL and validation logic. Brings a practical mix of data engineering, Python automation, metric design, and stakeholder alignment to improve reporting accuracy and speed of decision-making.”

“Analytics professional with hands-on experience turning messy CRM and campaign data into standardized reporting datasets using SQL and Python. At EcoSolutions/EcoServices, they built reusable KPI pipelines, dashboards, and metric definitions that reduced manual reporting and improved time to conversion by roughly 55% through better segmentation and campaign optimization.”

“Analytics-focused candidate with hands-on experience building compliance and contract utilization reporting from messy contract, vendor, subcontractor, and payment data. They combine SQL and Python automation to improve reporting speed and accuracy, and show strong stakeholder discipline through validation sessions, documentation, and dashboard adoption.”