Vetted Requirements Gathering Professionals

Erik Moyer

Screened

Director-level Data Science & Analytics Leader specializing in cloud data platforms and AI/ML

Dallas, TX13y exp

“Candidate states they are very familiar with the venture capital/studio/accelerator landscape and expresses strong willingness to pursue entrepreneurship "at all costs," but did not provide details on a current startup, business plan, fundraising, or prior accelerator/VC involvement during the interview.”

Ali Taquie

Screened

Junior Software Engineer specializing in AI and FinTech payments

Santa Cruz, CA2y exp

“Forward-deployed software engineer at PayStand who uses LLM prototyping tools (e.g., Cursor, Lovable) to rapidly build customer-specific demo environments and drive sales outcomes—citing ~$100K in technical buy-in before production development. Experienced supporting an enterprise expense management product (Teampay) with agentic AI workflows, emphasizing observability (Grafana/Loki/Tempo) and cross-functional communication with sales, product, developers, and customers.”

“Built a Python pipeline to monitor and classify public posts from sources like Hacker News and Reddit for SWE/tech job opportunities, with a strong focus on reliability, observability, and recoverable failures. Also currently building a court queueing system for the UCSD Badminton Club, showing an ability to turn messy, informal real-world processes into practical automation through iterative user feedback.”

“HRIS/payroll support professional with hands-on Workday experience focused on pre-payroll validation, compensation data accuracy, and reconciliation. They stand out for catching effective-date and compensation mismatches before payroll cutoff, building practical Excel audit tools, and supporting merit/bonus cycles through reporting, exception management, and testing.”

“Implementation/project leader with experience spanning Confluent, Cerner/VA, and Elovate/Madani Traffic Management, managing complex cross-functional portfolios and building governance in ambiguous environments. Stands out for aligning resources across technical and operational teams, creating executive-ready reporting in Power BI, and delivering measurable savings, including reducing losses by $50K per month.”

“Operations and strategy generalist who has built a career helping leaders bring structure to complex, fast-moving environments. Most notably led multi-year digital transformation work at McCarthy Mentoring while simultaneously owning client services, operations, finance, and stakeholder management, and has also advised on cybersecurity governance and supported senior decision-makers in government, research, and climate-tech contexts.”

“Founder of Snazified Inc., a multi-tenant ATS startup, where they led a 5-person remote engineering team and built AI-powered workflow features that reportedly drove 75% sales growth and 90%+ customer retention. They also launched a separate subscription profile platform with React/Node, AI resume tools, and job aggregation, reaching 50 paying subscribers shortly after launch.”

“Product leader with a strong track record in ecommerce and retail SaaS, including AI-assisted product discovery and rich content syndication at scale. They stand out for building human-centered AI experiences that prioritize trust and workflow improvement, and for transforming siloed product organizations into aligned, collaborative teams.”

“Product leader with 6+ years driving digital transformation and healthcare-focused delivery, including founding RemiMinderAI, an AI-powered app for older adults and caregivers. Combines enterprise modernization experience with hands-on AI prototyping using Flutter, Firebase, Vertex AI, and Gemini, and has delivered measurable outcomes like 40% faster onboarding and 30% higher delivery throughput.”

“Product and technology leader operating at the intersection of enterprise consulting, AI, and implementation, with hands-on ownership of Palantir Foundry/AIP and Microsoft Copilot Studio deployments. Particularly compelling for employers needing someone who can turn messy operational problems into secure, adoptable enterprise solutions across multiple business units and stakeholders.”

“Cross-functional operator who regularly leads globally distributed work and acts as a bridge between product, UX, and analytics. Has driven reporting/dashboard and workflow automation initiatives with senior leadership, using data-backed communication and quick wins to improve adoption and efficiency.”

“Backend/web API engineer with hands-on experience deploying .NET Core APIs to Azure App Service and stabilizing production systems through disciplined log-driven troubleshooting, environment configuration management, and SQL performance tuning (execution plans, query rewrites, indexing). Has also debugged cross-layer incidents involving DB locks and network latency, and modifies Python/XML automation scripts to meet customer-specific requirements while improving logging and performance.”

“Lifecycle/CRM marketer with 14 years of cross-functional experience, leveraging SQL-driven segmentation and structured A/B/multivariate testing to optimize engagement and conversions. Has led coordinated national/regional launches for a hardware product and tracks impact through CRM campaign codes tied to closed sales.”

“Hands-on architect/executive who built a virtual sales platform from scratch with real-time video delivery and autoscaling global video nodes, while also operating at the stakeholder/roadmap level. Previously scaled IT as Arbonne grew from ~$11M to $1B in annual sales and led large digital transformation efforts including a 70-person team for princesshouse.com; also advises startups (e.g., SocialBud) on product expansion and roadmaps.”

“Software engineer with experience at PTC (Onshape cloud CAD) and Firebolt building customer-facing features end-to-end—from user research and prototyping (tooltips, CSV imports) through deployment and usage monitoring. Also handled urgent production crashes in a Flutter mobile app across iOS/Android by diagnosing state-management conflicts and shipping a stabilizing patch; enjoys hands-on, customer-facing work and travel.”

“Financial data engineer who has built and operated high-volume batch + streaming pipelines (200–300 GB/day; 5–10k events/sec) using AWS, Spark/Delta, Airflow, Kafka, and Snowflake, with strong emphasis on data quality and reliability. Demonstrated measurable impact via 99.9% SLA adherence, major reductions in bad records/nulls, MTTR improvements, and significant latency/runtime/query performance gains; also built a distributed web-scraping system processing 5–10M records/day with anti-bot and schema-drift defenses.”

Siddhartha Alapati

Screened

Mid-Level Software Engineer specializing in Java/Spring microservices and full-stack web apps

Denton, TX4y exp

“Software/full-stack engineer focused on deploying and integrating microservice applications into production AWS and hybrid cloud/on-prem industrial environments. Demonstrated end-to-end troubleshooting by tracing intermittent user failures to network routing/packet loss caused by load balancer and NIC misconfiguration, then adding monitoring to prevent recurrence. Also delivers customer-specific Python extensions with strong validation, testing, and backward compatibility.”

Harideep Balusa

Screened

Mid-level AI/ML Engineer specializing in FinTech risk, fraud detection, and GenAI/RAG systems

USA6y exp

“Built and productionized Azure-based LLM/RAG systems for regulatory/compliance use cases, including automating analyst research and compliance report generation across large unstructured document sets. Demonstrates strong practical depth in hallucination mitigation, hybrid retrieval tuning (BM25 + embeddings), and production MLOps (Databricks, Cognitive Search, AKS, Airflow/MLflow), plus proven ability to deliver auditable, explainable solutions with non-technical compliance teams.”

keerthana s

Screened

Mid-level Backend Software Engineer specializing in Python/FastAPI on AWS

Los Angeles, California4y exp

“Backend engineer with healthcare domain experience building AI-driven radiology workflow systems. Evolved tightly coupled APIs into secure, reliable FastAPI-based services by moving heavy imaging/data processing into idempotent asynchronous pipelines with retries, feature-flagged incremental rollout, and strong data-integrity controls (constraints, backfills, validation). Strong focus on defense-in-depth security for sensitive patient data (OAuth2/JWT, RBAC, and database-level protections).”

“Implementation/CS professional with enterprise account ownership in fintech/payments and ERP-integrated workflows (NetSuite, QuickBooks), including complex hybrid AP/mass pay setups and bidirectional sync challenges. Partners closely with Product/Engineering on integration plans and sandbox validation, and has driven expansion by upselling REST API automation beyond initial iFrame/ERP scope.”

“Healthcare analytics professional with Cigna experience turning complex claims, eligibility, and provider data into trusted reporting layers using SQL, Python, and Power BI. Stands out for combining deep data-quality rigor with end-to-end ownership of operational analytics projects, including standardized retention/churn metric design and automated reporting workflows.”

“Built end-to-end internal and user-facing automation/data features, including a Selenium-based BU course scraper with around 1,800 users and a CSV export system that became the company standard at Triple. Shows initiative in ambiguous environments, working directly with business stakeholders and resolving production infrastructure issues involving AWS and Terraform.”

“Functional/implementation consultant with experience across 10+ ERP deployments, including Infor LN and Salesforce/Rootstock, primarily in manufacturing environments. Brings hands-on ownership across the full lifecycle—from requirements, process mapping, configuration, and documentation through UAT, training, go-live, and hypercare—with particular depth in shop floor, procurement, inventory, and global operational complexity such as tax and shipping integrations.”

“Backend/ML systems engineer who built a Flask + PostgreSQL internal ticketing platform and demonstrates strong database/ORM performance depth (indexes, partitioning, RLS multi-tenancy). Notably optimized a high-throughput attachment OCR/embedding pipeline with batching, deduplication, and Redis caching, cutting median latency from 45s to 10s and reducing worker cost by 35% while increasing throughput 4x.”