Hà Gia Hiến
I’m Hà Gia Hiến, a Data Science graduate from UEH (GPA 3.57) with hands-on experience evaluating frontier LLMs and multimodal generative image pipelines.
About
I’m Hà Gia Hiến, a Data Science graduate from UEH (GPA 3.57) with hands-on experience evaluating frontier LLMs and multimodal generative image pipelines. I’ve audited complex Vietnamese model responses using multi-criteria rubrics (truthfulness, tone, reasoning, and nuance) and produced detailed qualitative rationales to support reliable ranking and calibration.
In parallel, I manage end-to-end creative production pipelines for 3D/CGI animation and large-scale marketing campaigns, with a strong focus on pixel-perfect visual quality control for brand identity systems and key visuals. I’m native Vietnamese and can communicate fluently in English (IELTS 7.5), bridging rigorous data-driven evaluation with high-standard visual QC to help teams ship better features and content.
- 1 year's experience
- Joined October 2026
Skills· 10
Languages
- VietnameseFluent
- EnglishAdvanced
Industry experience
- Education
- Financial Services
- Media & Entertainment
- Software & Internet
- Professional Services
- Computers & Electronics
Work experience
Directed end-to-end production pipelines across 3D/CGI animation and commercial video/TVC, and supported large-scale OO H campaigns for enterprise clients (e.g., Techcombank and MSB). Ensured strict quality control across brand identity systems, Key Visuals (KVs), spatial assets, and marketing collateral, maintaining pixel-perfect brand consistency, color accuracy, and typography standards. Synchronized workflows across 4+ external production houses and vendors from concept storyboarding through master delivery, while managing client scopes, milestones, and budgets across 10+ concurrent accounts with a 100% on-time delivery record.
Evaluated hundreds of complex Vietnamese model responses using multi-dimensional criteria (truthfulness, tone, reasoning, nuance), producing in-depth qualitative justifications to support ranking and calibrate reward models. Audited multimodal image generation pipelines by checking text-to-image fidelity, prompt comprehension, compositional geometry, lighting, and rendering artifacts. Performed meta-review and quality assurance on peer annotators to refine rubrics for strict inter-annotator agreement and dataset integrity, and ran adversarial/exploratory QA on unannounced frontier features to surface edge cases, safety failures, and instruction-breakdown bugs before release.
Performed structured UAT and feature validation for internal software workflows, logging and reproducing data edge cases. Built data validation checks and tracked system adoption metrics using SQL and Excel to maintain clean data records.
Education
Certifications and awards· 6
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