Vetted Data Quality Professionals

“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”

“Sales support/BD profile from First Standard Financial with hands-on ownership of CRM hygiene, lead tracking/qualification, and client onboarding follow-through. Built lightweight processes in an unstructured early-stage environment (standardized onboarding info, CRM fields, follow-up reminders) and ran multi-channel re-engagement outreach across email, LinkedIn, and phone, finding phone calls most effective. Leverages AI tools for faster email drafting, document summarization, and CRM data cleaning.”

“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.”

Muhammad Murtaza Murtaza

Screened

Mid-level Machine Learning Engineer specializing in NLP, Computer Vision & Predictive Analytics

Islamabad, Pakistan5y exp

“Built a production LLM fine-tuning pipeline for domain-specific code generation at Pigeonbyte Technologies, including automated collection and rigorous quality filtering of 10M+ code samples (AST validation, sandbox execution/testing, deduplication, drift monitoring, and human-in-the-loop review). Also implemented end-to-end ML orchestration in Apache Airflow with data quality gates, dataset versioning in S3, benchmarking, and automated model promotion, and has a reliability-first approach to agent/workflow design.”

“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.”

“Front-end engineer focused on sophisticated browser-based search and reading experiences, including AI-generated summaries and multi-state content interfaces. Demonstrates strong practical skill in React-style component architecture, Figma-accurate implementation, and deep browser/CSS debugging to make complex UIs polished, maintainable, and usable.”

Stefhanie Ancela Lahallo

Screened

Mid-level QA Engineer and Sales Support specializing in partner onboarding and manual testing

Jakarta, Indonesia4y exp

“Systematic QA tester transitioning into console game testing; has studied Sony TRC, Microsoft XR, and Nintendo LOT structures and common failure points and plans to ramp quickly via hands-on dev tools, checklists, and learning from existing test cases. Comfortable handling overlapping test cycles and tight release timelines, and uses AI to summarize long logs and produce clear reproduction steps.”

“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.”

“QA/supplier-performance focused candidate who uses defect and delivery data to spot recurring issues early, identify root causes tied to rushed timelines/high workload, and implement practical process changes (e.g., added validation steps and tightened defect definitions). Emphasizes clear, metric-backed communication to align internal stakeholders and suppliers, then monitors post-change results to confirm sustained improvement.”

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.”

“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.”

“Hands-on LLM/agentic workflow practitioner who focuses on moving prototypes into production by improving data quality, preprocessing, and validation, and by testing against real user inputs. Experienced troubleshooting LLM issues in real time during live tests and supporting adoption through developer demos and sales-partnered technical explanations that address customer reliability concerns.”