Vetted Requirements Gathering Professionals

“Built and deployed a production LLM system that scraped Google Maps menu photos, extracted structured prices via OpenAI, and cross-validated them against website-scraped data to automate data-quality verification at scale (replacing costly manual contractor checks). Demonstrates strong reliability instincts—precision-first prompting, output gating with image-quality metadata, and fuzzy matching/RAG techniques—plus solid orchestration (Dagster/Airflow) and observability (Sentry, Prometheus/Grafana).”

“Deloitte engineer who built and shipped AI-powered, Kafka-driven workflow automation for transportation/document processing, including LLM-based semantic search. Strong in production reliability (idempotency, offset management, retries), observability (Datadog/CloudWatch), and database performance tuning (PostgreSQL/Flyway), with measurable latency improvements.”

Wright Beisel

Screened

Mid-level Software Engineer specializing in reliability, automation, and energy systems

3y exp

“Customer-facing technical professional with experience at GE Vernova diagnosing turbine performance issues and translating vague "use AI" requests into concrete software/configuration changes. Brings a data-driven approach to LLM workflow troubleshooting (data quality + performance monitoring) and has led tailored technical workshops/demos using audience research and backup learning modules, with a strong focus on driving product adoption through usability and usage-data feedback loops.”

Diana Ramirez

Screened

Director of Customer Success specializing in enterprise SaaS implementations and AI platforms

San Francisco, CA25y exp

“Enterprise CSM/program lead specializing in AI-powered search and workflow automation, who owned an end-to-end generative AI chatbot rollout that replaced manual Excel-based RFP processes and achieved 4.5/5 CSAT. Leveraged outcomes to expand the account into two additional use cases (tripling ARR) and has a track record of influencing product priorities (UI personalization) and driving Voice AI expansions tied to operational support workflows.”

Ashley Borges

Screened

Senior Solutions Engineer specializing in mobile SDK integrations and AdTech

Alameda, CA13y exp

“Customer-facing technical professional with hands-on ad tech experience enabling a non-SDK header-bidding integration by analyzing APIs/SDK behavior, documenting end-to-end requirements, and guiding the customer through release. Strong at tailoring technical demos for mixed executive/engineering audiences and partnering with sales on metrics-driven launches and beta rollouts. No direct on-the-job LLM/agentic systems experience yet, but interested in moving into that space.”

Edward Yu

Screened

Senior Software Engineer specializing in FinTech, payments, and authentication

Sunnyvale, CA8y exp

“Software engineer with experience at Dollar Shave Club and Mudflap, focused on user-driven product delivery and cross-team alignment. Built an Okta SSO-based internal portal (React/Node) centralizing access to org services, and has hands-on experience diagnosing LLM/agent workflow issues via instrumentation and systematic triage. Known for translating between product/customer needs and engineering tradeoffs to ship quickly while planning stabilization and scalability.”

Emilio Angelo Alindogan

Screened

Senior Gameplay/Unreal Engineer specializing in Unreal Engine systems and multiplayer gameplay

Metro Manila, Philippines10y exp

“UE5 C++ gameplay programmer who has built core gameplay frameworks (characters, AI, abilities, inventory/interaction, dialogue, weapons, save) and shipped on Steam (Zone 13). Demonstrated strong profiling and optimization skills by using Unreal Insights to diagnose CPU frametime spikes and removing visible hitching with a custom C++ object manager, plus experience with replicated systems using GAS and Fast Array Serialization.”

Kavyashree Sudhakar

Screened

Junior Business Analyst specializing in operations and banking workflows

Tempe, AZ2y exp

“Entry-level data/business analytics candidate with hands-on experience building SQL and Python workflows to clean fragmented subcontractor data, generate risk scores, and feed Power BI dashboards. Also demonstrated strong operational analytics impact at Amazon by defining and operationalizing process-quality metrics that reduced CPO rate from roughly 10% to 0.6%.”

“Analytics professional at Santander Bank with hands-on experience building SQL and Python workflows for transaction reporting, reconciliation, and monitoring across messy multi-source financial data. They combine strong data validation and exception-handling practices with stakeholder-friendly dashboards, and also bring digital analytics experience from a Google Analytics UI optimization project focused on funnel drop-off and engagement.”

Mahima Baddur

Screened

Mid-level Business Analyst specializing in data analytics and enterprise operations

5y exp

“Business/data analyst with Johnson & Johnson supply chain experience, focused on turning messy SAP, legacy, and Excel data into validated reporting datasets and Power BI dashboards. Stands out for combining SQL and Python automation with strong KPI design around inventory planning, inventory turnover, and demand analysis in a complex enterprise environment.”

“Analytics professional with Dell experience unifying global online sales, web analytics, SAP, and planning data across 20+ countries into scalable reporting pipelines and Power BI dashboards. Stands out for combining deep SQL/ETL work with Python automation, KPI design, and experimentation—delivering measurable outcomes like 80% less manual effort, a 2% conversion lift worth millions, and faster business decision-making.”

“Senior software developer with hands-on experience building real-time React + TypeScript dashboards and map-based visualization tools for large datasets. Stands out for practical frontend performance work in production, including memoization, virtualization, debouncing, lazy loading, and Google Maps optimization for thousands of records or points.”

“Banking-focused full-stack engineer who has owned products from requirements through deployment, including a transaction review dashboard and an AI-assisted search tool for internal support teams. Brings a strong mix of React/TypeScript, Spring Boot, database performance tuning, and practical LLM/RAG experience with human-in-the-loop safeguards for regulated workflows.”

Jahid Hasan

Screened

Mid-level AI Product Leader specializing in agentic systems and developer platforms

Ames, IA4y exp

“Cofounder of Tometo AI who built a multi-agent engineering manager platform aimed at giving startup founders FAANG-style team visibility and blocker detection. Stands out for combining product leadership, AI evaluation rigor, and user-driven UX pivots, with tangible traction including a #2 Product Hunt launch and 150+ customers onboarded.”

“Backend engineer who built an e-commerce order processing service in Python/Flask with PostgreSQL, focusing on correctness and reliability (idempotency, Redis locks, async payment processing with circuit breakers). Also integrated an ML recommendation system as a separate FastAPI inference service with caching and async embedding updates, reporting ~25% CTR lift, and has experience with multi-tenant isolation using PostgreSQL row-level security.”

“Operations leader specializing in building scalable internal systems for startups, from being Spoonflower’s first ops hire (5th employee) to launching its first international Berlin/EMEA office from scratch. At bookingkit, drove measurable operational improvements by implementing a customized OKR framework (+18% goal achievement) and deploying automation/AI tools like Contractbook and kapa.ai to eliminate manual work and save engineering time.”

“Backend/platform engineer with production ownership of high-volume transaction analytics and fraud monitoring services built in Java/Spring Boot. Has scaled data processing platforms (including healthcare datasets) and operated Kafka-based event pipelines with schema versioning, deduplication, and replay/backfill workflows, using strong observability via CloudWatch/Grafana and CI/CD with Jenkins.”

“Customer Success leader with deep ad tech expertise who owned enterprise accounts end-to-end, including Bank of America, driving ad fraud down from ~8–10% to <1% in ~3 months and resolving spikes through data-driven investigations. Experienced partnering cross-functionally as a PM to build analytics dashboards and using user stories to align Product/Engineering/Sales and influence roadmap priorities; also supports land-and-expand via paid benchmarking/industry data upsells.”

“Software engineer with hands-on ownership of both fintech checkout improvements (saved payment methods/one-click checkout with tokenization and feature-flag rollouts) and production LLM/RAG systems for customer support. Demonstrates strong operational rigor via guardrails, evaluation loops integrated into CI/CD, and scalable data pipelines handling messy PDFs/CSVs/logs with reliability and observability.”

Sai Harshith Tanguturi

Screened

Mid-Level Software Engineer specializing in Java microservices and AWS cloud-native systems

Grapevine, TX3y exp

“Full-stack engineer who has owned customer-critical analytics and course intelligence platforms end-to-end (React/TypeScript + Node/Express + SQL), including an internal self-serve Reporting & Analytics Center adopted by 1,000+ users. Demonstrates strong systems thinking across performance (2× faster heavy reports), reliability (feature flags, testing), and distributed architecture (RabbitMQ microservices with idempotency, DLQs, and correlation-ID observability).”

Lucas Silbernagel

Screened

Senior Front-End Software Engineer specializing in accessible, high-performance web apps

Toronto, Canada6y exp

“Frontend engineer who led the 2025 end-to-end launch of the Score Casino web platform, integrating a new regulated brand into an existing monorepo with scalable theming, Next.js routing changes, and supporting Docker/SRE deployment work. Emphasizes quality at scale through visual regression testing, Datadog/Bugsnag observability, and test-suite redesign (parameterized theme tests) that reduced CI flakiness; shipped the launch two months ahead of schedule while meeting GLI submission standards.”