Vetted Requirements Gathering Professionals

“Capgemini engineer who helped take a travel insurance platform from prototype demos to a stable production system by clarifying requirements, hardening API contracts, and adding validation/logging to handle real customer data and external integrations. Experienced in real-time troubleshooting of complex workflows (including LLM/agentic-style workflows) through strong observability practices, and in leading practical developer-focused demos that accelerate client integration and adoption.”

“PhD-trained engineer with ~3.5 years of consulting experience building simulation/ML-driven manufacturing software. Deployed an ML surrogate model as a .NET C# DLL integrated with MES workflows, and resolved a critical pre-production latency issue by redesigning serialization/storage. Also built Python-based integrations across CAD/CAE tools and cloud material databases using an XML data model, with a strong interest in digital twins and real-to-sim/sim-to-real robotics workflows.”

“Data/ML practitioner with experience applying NLP and classical ML to large-scale customer data (2B+ records) for segmentation, prediction, and survey-text classification, delivering measurable business impact (~18% engagement efficiency). Has hands-on entity resolution across multi-source datasets and has built embedding-based semantic search using SentenceBERT + a vector database with domain fine-tuning (~20% relevance improvement), plus production workflow experience with Spark/Airflow and cloud tooling (AWS/Azure).”

“Chief of Staff and head of a Global Central PMO who has led high-stakes, cross-functional initiatives spanning budgeting transformation, federal consent order deliverables, and audit process implementation. Drove a major operational automation effort—digitizing headcount tracking and requisition approvals for 10,000+ employees—delivering a reported 65% efficiency gain while maintaining strong executive alignment through concise dashboards and regular checkpoints.”

Joseph Herbst

Screened

Executive Technology Leader specializing in IoT, PoE building automation, and semiconductors

Portland, OR35y exp

“Engineering/exec leader (CEO experience) who built a lighting controls and building automation platform from scratch, choosing an Ethernet/PoE and Node.js web-centric architecture that anticipated market shifts and later became an industry pattern. Known for rigorous vendor QA (test-to-failure) and for delivering high-profile deployments (e.g., Black Desert Resort, Resorts World Villa 66) while leading globally distributed engineering teams.”

Shangyi Chen

Screened

Mid-Level Full-Stack Software Engineer specializing in Java and Angular web applications

San Francisco, CA5y exp

“Full-stack engineer who has owned end-to-end delivery of an internal, customer-facing data visualization product and helped build a data modification pipeline used across the organization for data integrity/governance. Demonstrates pragmatic MVP-driven delivery within sprints and makes performance-oriented architectural decisions (e.g., batching API calls to reduce frontend request volume) in TypeScript/React systems.”

“Full-desk recruiter who has owned urgent, high-bar senior consulting searches (e.g., senior process safety consultant) requiring both deep technical screening and client-facing soft-skill evaluation. Operates with a structured cadence and uses pipeline analytics (time-in-stage, drop-off, time-to-fill) to manage throughput, drive hiring manager accountability, and close candidates through offer and onboarding.”

“Built Laborate.app, a full-stack lab notebook and inventory product for scientists, largely solo using Next.js App Router, TypeScript, Postgres, Prisma, and AWS S3. Stands out for combining product ownership with practical concerns like encrypted data storage, autosave reliability, caching, tenant isolation, and scalability planning.”

Richard Wilson

Screened

Senior IT Project Manager specializing in Agile delivery and migration programs

Greensboro, NC19y exp

“Project manager with 16+ years of experience leading enterprise implementations across software, e-commerce, and financial services environments. Stands out for coordinating complex multi-country launches involving legal, creative, development, QA, and executive stakeholders, while also bringing regulated-environment experience through FINRA compliance and administration system modernization.”

“Senior business analyst/project manager with broad enterprise implementation experience across multiple business functions and platforms, including ERP, custom web apps, AI chatbot deployment, and ITSM asset migration. Stands out for owning projects end-to-end, using iterative requirements workshops and visual process mapping, and finding practical configuration workarounds when out-of-the-box systems fall short.”

“Product leader with 10 years in regulated life sciences who has moved from building compliant manufacturing and validation capabilities at Illumina to shipping live AI products. Unusually combines deep FDA/EU MDR/ISO 13485 domain knowledge, hands-on scientific research experience, and practical RAG-based product development for regulatory and manufacturing workflows.”

“Built a production AI-driven QA automation platform using a multi-agent architecture (MCPs + LangGraph) to run parallel website tests across multiple device environments via automated image building and containerization. Currently collaborating with restaurant operators and managers to deliver an agentic restaurant analytics system, emphasizing deep domain discovery with non-technical stakeholders.”

“Full-stack engineer with strong DevOps/AWS production experience who builds and operates multi-agent AI systems end-to-end (Streamlit/Python through Docker/Kubernetes and ECS/Fargate). Has delivered measurable outcomes: sub-2s latency and ~92% routing accuracy for an AI wellness assistant, shipped an AI-for-BI prototype in under 6 weeks cutting analysis time ~40%, and improved pipeline iteration speed ~35% via modularization and CI/regression checks.”

Fadli Putra

Screened

Mid-level QA Engineer specializing in automation and manual testing

8y exp

“QA tester with hands-on experience across web, mobile, and API testing, including requirements gathering, test planning/case creation, and executing system/regression/UAT. While new to console game testing and platform certification checklists (TRC/XR/LOT), they emphasize strong testing fundamentals, API automation experience, and using AI tools to ramp up quickly.”

Pedro Cutino

Screened

Executive Product Management leader specializing in B2B SaaS, cloud, AI and FinTech

Holmdel, NJ25y exp

“Operations/product leader with experience integrating product organizations after acquisitions, standardizing Agile/PDLC and RACI to remove ambiguity and enable on-time launches. Hands-on in implementing Jira-based execution frameworks and mentoring exec teams on KPI/OKR operating cadence, including adopting a Product/Engineering/UX triad model to reduce rework and improve customer alignment.”

Khoa Nguyen

Screened

Junior Software Engineer specializing in Python, AWS, and data/ETL systems

Washington, USA1y exp

“Data/ETL-focused engineer with Amazon experience building and deploying AWS-based pipelines that became the primary source of automated customer feedback insights (processing millions of records daily). Demonstrated strong incident troubleshooting across software/host/network layers using CloudWatch, traces, and metrics, plus hands-on stakeholder and on-site operator collaboration to translate reporting needs into star-schema data models and tailored Python ETL logic.”

Aniket Darade

Screened

Senior Digital Marketing Specialist specializing in performance marketing, SEO/SEM, and paid media

Mumbai, India5y exp

“Performance marketer focused on full-funnel paid media systems across Meta, Google (Search + Performance Max), and TikTok, with experience scaling spend into the ~$80K–$120K/month range while maintaining strong ROAS. Emphasizes rigorous creative testing (6–10 launches/week with 72–96 hour decision windows), GA4 validation, and controlled budget scaling; cites a turnaround case improving CTR 30%, reducing Meta CPA 27%, and lifting blended ROAS to ~3.1x in ~3 weeks.”

Atyab Hakeem

Screened

Junior Data Scientist / ML Engineer specializing in GenAI and computer vision

San Francisco, CA2y exp

“Software engineer who built and deployed OddPulse, a multi-agent LLM-powered continuous financial auditing system aimed at reducing compliance penalties by catching issues before audit cycles. Experienced with TrueAI-based agent orchestration, Airflow on GCP batch workflows, and rigorous evaluation/benchmarking (hit rate/MRR, latency/TTFT, cost) alongside security controls for sensitive financial data.”

Sarthak Vinayaka

Screened

Mid-Level Full-Stack Software Engineer specializing in enterprise AI, data pipelines, and scalable APIs

Redwood City, CA3y exp

“Forward-deployed engineer/tech lead who built an end-to-end demand planning and forecasting application for a major US steel manufacturer, integrating Snowflake data into the C3 platform with batch/MapReduce workflows, monitoring, and a React/TypeScript UI. Also productionized an enterprise LLM integration with structured outputs and authorization guardrails, reporting +30% stakeholder engagement and broad adoption across customer deployments.”

Zhiwen Zhao

Screened

Junior Data Engineer specializing in cloud ETL and big data platforms

New York, NY3y exp

“Data engineer focused on transit/transportation datasets, building Spark-based pipelines that ingest from Oracle/APIs, apply PySpark data-quality fixes, and publish star-schema fact tables to Azure Data Lake. Experienced troubleshooting complex Spark failures (using checkpointing to manage long lineage) and operating Airflow-driven backfills and GitLab CI deployments for production DAGs.”

“Full-desk recruiter specializing in senior, customer-facing technical hires in the network automation space, with a structured approach to intake, market mapping, and pre-closing. Experienced running high-throughput desks (~12–15 active reqs) and keeping multi-stakeholder processes moving via SLAs, pipeline-velocity metrics, and targeted escalation when finalists are at risk.”

Barbara Christina Cruze

Screened

Senior Business Analytics Consultant specializing in BI, data engineering, and predictive analytics

Dallas, TX8y exp

“Healthcare analytics candidate with hands-on experience turning messy claims, enrollment, and reference data into trusted SQL reporting layers and reproducible Python workflows. They emphasize metric standardization, stakeholder alignment, and operational impact, including ~40% reduction in manual reporting effort and improved forecasting/resource prioritization through high-risk patient segmentation.”

“Analytics professional with experience across retail and healthcare, including Kroger and CVS Health. They have built SQL and Python workflows to clean and operationalize messy data, and have owned patient adherence/retention analytics projects that informed targeted interventions and improved refill and retention reporting.”

“AI/ML engineer with production experience across both classical ML and Generative AI, including a real-time banking fraud detection platform at Deloitte and a RAG-based cybersecurity threat analysis feature at Accenture. Stands out for owning systems end-to-end—from feature pipelines and model tuning through deployment, monitoring, retraining, and API/platform reliability—with measurable impact on fraud accuracy, false positives, and SOC analyst efficiency.”