Vetted Data Validation Professionals

“Full-stack product engineer who has shipped AI-powered job board moderation and validation features end to end across React/TypeScript, serverless backends, and Postgres. Stands out for combining UX polish, LLM-backed workflow design, and reusable async infrastructure patterns to improve reliability, speed of delivery, and user participation.”

“Software QA tester with manual + automation experience (Jira, Figma) looking to transition into console game testing; brings long-term multi-console player perspective (Nintendo/PlayStation/Xbox) and a structured, risk-based approach to triage and release readiness. Has used AI assistants to rapidly generate large sets of API test cases under tight deadlines.”

“Data engineer who has owned end-to-end ELT pipelines on Airflow + AWS (S3/Glue/Lambda) with Snowflake/Redshift, processing millions of records per day and tens of GBs via PySpark. Built strong data quality and reliability practices (40% quality improvement, 99%+ uptime), and also designed a resilient web-scraping system with anti-bot defenses and schema-change versioning plus REST APIs for serving curated data.”

Hilal Alhamdi

Screened

Junior IT Support & Web Developer with networking and data validation experience

Semarang, Central Java, Indonesia2y exp

“QA tester with hands-on experience across web, PC, and mobile (functional/usability plus compatibility, stability, and performance testing) looking to transition into console game testing. Familiar with the intent and coverage areas of Sony TRC/Microsoft XR/Nintendo LOT requirements and uses Jira/Trello plus AI-assisted workflows to speed up bug triage, documentation, and pattern detection.”

“Analytics-focused candidate with experience turning messy operational and educational program data into validated reporting assets, dashboards, and AI-ready datasets. They stand out for pairing SQL/Python data preparation with rigorous validation and lightweight NLP on open-ended feedback, driving reported improvements in reporting efficiency, engagement, and student success outcomes.”

Toufiq Hasan

Screened

Entry-level Software Engineer specializing in backend and AI integration

New York, NY1y exp

“Built and shipped an LLM-powered crypto price tracking and alert agent in a web environment that scaled to roughly 10,000 users. The candidate emphasizes production reliability, structured outputs, and data normalization, and cites strong product impact including retention growth from 35% to 65% and roughly 95% positive user validation on alert interpretations.”

“FAU-based analytics candidate with hands-on academic project experience across SQL data preparation, Python/NLP sentiment analysis, and predictive modeling. They stand out for turning messy datasets into clean reporting tables, building reproducible analysis workflows, and translating findings into practical recommendations around operations, credit risk, and marketing ROI.”

Firmansyah Firmansyah

Screened

Senior QA Tester specializing in web automation and API testing

Depok, Indonesia11y exp

“QA tester with hands-on PlayStation-focused console testing and cross-platform validation (UI/resolution/feature parity), including a concrete root-cause win tracing a PS5 save-load failure to an SDK-driven file extension change (.sav to .sav5). Experienced in Jira-based defect reporting with strong evidence capture and regression practices, and has also managed high-pressure multi-platform release triage across web/Android/iOS while building entry-level knowledge of TRC/XR/LOT certification requirements.”

Mohammad Khaja Faizan

Screened

Junior Backend Software Engineer specializing in API-driven systems

Corpus Christi, TX2y exp

“Backend engineer focused on Python/FastAPI who has designed and evolved an API-driven platform with an emphasis on clean contracts, data integrity, and scalable service boundaries. Demonstrated production-minded reliability work by addressing partial writes/retry failure modes with idempotency and validation, eliminating duplicate/corrupted records, and has implemented layered security including Supabase-managed auth, RBAC, and row-level security.”

Jason Burleigh

Screened

Senior Solutions & Systems Integration Engineer specializing in API automation and operational platforms

Los Angeles, CA11y exp

“Customer-facing LLM/agent workflow specialist who repeatedly takes unstable prototypes to production by enforcing strict I/O contracts, validation/guardrails, and reliability patterns (logging, retries, timeouts, monitoring). Strong in real-time troubleshooting using logs and payload inspection, and known for live demos/workshops that teach teams to self-debug. Partners closely with sales by building POCs in customer environments to unblock trials and drive faster deal closure and adoption.”

“Built and deployed an LLM-powered automation pipeline that ingests voice and documents, transcribes/extracts key information into structured data, and routes it through backend workflows using Python/FastAPI. Uses n8n to orchestrate multi-step AI processes with validation, retries, and monitoring, and iterates with stakeholders via rapid demos to refine changing requirements.”

“Console game QA tester with hands-on PlayStation/Xbox/Nintendo experience, including investigating a difficult cross-platform multiplayer desync by isolating network/game conditions and delivering evidence-rich bug reports (logs/timestamps/video) followed by regression. Also brings QA experience from capital markets systems (market surveillance/index calculation), prioritizing issues based on severity and regulatory/latency risk, and uses AI tools to improve reporting and RCA summaries.”

“Built and shipped a production LLM-powered document processing agent (ingestion→OCR→LLM extraction/classification→validation→DB/workflow triggers) using Kafka and PostgreSQL. Emphasizes production reliability with strict JSON schemas, idempotent services, retries/backoff, fallback models, and human-in-the-loop review—driving ~90% automation, minutes-to-seconds processing, and ~10x throughput.”

“Analytics and automation candidate with experience delivering data and AI solutions for major public-sector and enterprise clients including STC, Abu Dhabi Ports, and the Ministry of Culture. They combine SQL, Python OCR pipelines, dashboards, and cloud LLMs to turn messy unstructured data into scalable workflows, with reported impact including 70% faster document processing and 80-85% reduction in manual resume screening.”

Rasheed Samady

Screened

Entry-level AI Engineer specializing in automation and ML platforms

San Francisco, CA0y exp

“Built a production Python lead intelligence pipeline that combined external APIs, website crawling, and automated opportunity brief generation, with strong emphasis on reliability, observability, and recovery. Also has hands-on Playwright experience hardening flaky, dynamic web automations and reducing intermittent failures to under 5% through logging, screenshots, session management, and retry strategies.”

“Full-stack engineer working on a medical practice SaaS, who owned an end-to-end charge entry module handling patient charges/payment workflows and complex client-side data transformations. Also built a fintech rating platform with real-time WebSocket streaming and TradingView-based charting, and has 10 years of university experience mentoring student "startup" capstone projects under tight deadlines.”