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Ayushi Sharma

@ayushisharma12

Life Sciences Strategy Consultant at Handshake, evaluating AI reasoning on experimental data and shaping biopharma commercial strategy.

Germany

Message

At Handshake, I design life-science problems using real experimental images and data to test where frontier AI models struggle. I interpret biological evidence, write verifiable reference answers and scoring rubrics, and distinguish scientific reasoning failures from visual-perception errors.

At Mordor Intelligence LLP, I delivered commercial assessments and competitor benchmarking for pharma, biotech, MedTech, and diagnostics clients. My work contributed to 30% monthly revenue growth on a flagship pharma account and informed transaction and portfolio strategy decisions valued at €50M+. Earlier, at DelveInsight Business Research LLP, I built epidemiology-based market forecasts and led and mentored five junior research staff.

Experience

Work history, roles, and key accomplishments

Current

AI Training and Model Evaluation Specialist

Current

Handshake

Sep 2026 - Present (2 months)

Designs multimodal life-science problems for frontier vision-language models, writes precise questions with defensible solutions, and evaluates model reasoning.

LLM Evaluation Red Teaming Prompt Engineering RLHF SFT (Supervised Fine Tuning) Dataset Creation Evaluation Rubric Design Failure Mode Analysis AI Output Quality Assurance Data Annotation Hematology Cytogenetics Flow Cytometry Gel Electrophoresis Western Blot Microbial Cultivation Agri Food Microbiology Environmental Microbiology

Consultant: Life Sciences and Competitive Intelligence

Mordor Intelligence LLP

Apr 2022 - Jan 2024 (1 year 9 months)

Delivered 15+ end-to-end commercial assessment mandates for global Pharma, Biotech, MedTech, and Diagnostics clients, achieving 30% monthly revenue growth on a flagship pharma account and building multi-scenario strategic models supporting decisions valued at €50M+.

Lead Associate Analyst: Forecasting and Portfolio Analytics

DelveInsight Business Research LLP

Feb 2020 - Mar 2022 (2 years 1 month)

Built epidemiology-based market forecast models across 6 therapeutic areas, improving forecast accuracy by 25%, and delivered KOL-validated competitor pipeline profiles that shaped market-entry timing for 3 global pharmaceutical clients.