Nirnoy Das
Clinical AI Product Associate | Medical NLP · Model Training · Safety & QA
Jalpaiguri
Overview
3
3
years of professional experience
5
5
Certificates
4
4
Languages
Work History
Clinical AI QA / Generative AI Tester
ByteDance (TikTok)
Mumbai
10.2024 - 10.2025
- Designed clinical-safety test matrices (hallucinations, prompt injection, medical misinformation) reducing high-severity incidents by ~40% and repeat incidents by ~35%.
- Authored 120+ reproducible clinical test cases and maintained a 300+ regression-test suite executed across 5 releases/quarter to catch clinical regressions pre-release.
- Built Power BI dashboards and automated SQL/Python reporting pipelines tracking clinical-risk KPIs; contributed to 25–35% reduction in harmful medical content volume.
- Automated prompt validation at scale (sampled ~50k responses per campaign), surfaced 120+ clinical failure modes.
- Managed clinical escalation triage for US/Canada/Nepal/Bangladesh; coordinated with legal, product, and clinical SMEs to ensure safe outcomes and regulatory alignment.
Clinical AI Trainer / Prompt Engineer
ByteDance (TikTok)
Mumbai
01.2023 - 09.2024
- Prepared and refined SFT datasets and instruction sets for clinical tasks; A/B tests showed ~20% reduction in irrelevant or unsafe clinical responses.
- Executed 35+ prompt A/B experiments and maintained a versioned prompt library enabling reproducible prompts and wrapper logic for clinical prototypes.
- Automated prompt validation pipelines (Python) to sample 40–50k generations per campaign, surfacing edge-case clinical failure modes for remediation.
- Partnered with product and research to prototype clinical AI assistants, accelerating prototype iteration by ~30% and improving pilot task completion rates.
Clinical AI Data Annotator / AI Trainer
ByteDance (TikTok)
Mumbai
06.2022 - 12.2022
- Executed 18+ annotation projects (NLP, CV, speech) with 5k–120k examples; maintained 95%+ label accuracy on clinical claim labeling and pharma-related tasks.
- Co-authored 6 annotation guides and calibration playbooks used by 200+ reviewers; calibration reduced inter-annotator disagreement by 12–18 percentage points.
- Built lightweight validation checks (SQL/Python) that cut rework rates by ~22% and sped review cycles by ~30%.
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline
Clinical AI QA / Generative AI Tester
ByteDance (TikTok)
10.2024 - 10.2025
Clinical AI Trainer / Prompt Engineer
ByteDance (TikTok)
01.2023 - 09.2024
Clinical AI Data Annotator / AI Trainer
ByteDance (TikTok)
06.2022 - 12.2022
MSc - Artificial Intelligence & Machine Learning
Woof University
D.Pharm - Pharmaceutical Science
Pragati College of Pharmacy
BSc - Zoology, Botany & Chemistry
Glocal University
Languages
Nepali (C2)
Bengali (C2)
Hindi (C2)
English (C1)
Summary
AI Quality Analyst & Prompt Engineering specialist with 3+ years in LLM evaluation, model training, and generative AI QA focused on Clinical/Pharma domains. Experienced in medical misinformation detection, clinical data annotation, SFT dataset preparation, prompt engineering, and product-facing validation. Proven impact: improved model reliability by 30–40%, reduced harmful medical content by 25–35%, and cut MTTR by ~30%. Seeking to apply clinical domain knowledge (D.Pharm) and model-trainer expertise to Clinical AI Product Associate roles.
Certification
Google Generative AI for Healthcare
Education
MSc - Artificial Intelligence & Machine Learning
Woof University
07-2026
D.Pharm - Pharmaceutical Science
Pragati College of Pharmacy
06-2023
BSc - Zoology, Botany & Chemistry
Glocal University
05-2021
Skills
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