Piyush Agnihotri
@piyushagnihotri
I build trustworthy AI evaluation and applied machine learning systems.
What I'm looking for
At Accenture Strategy, I built and shipped an auditable compliance-scoring tool that checked roughly 600 regulatory obligations against bank documents, producing cited evidence and per-obligation scores. I also built complaint-triage and NLP taxonomy pipelines that turned large volumes of free-text complaints into actionable outputs for non-technical teams.
I've worked directly in the LLM evaluation loop at Turing, writing ground-truth reference solutions, rating model outputs, and diagnosing quantitative-reasoning failure modes. My applied statistics training at ISI Bangalore guides how I select metrics, validate outputs, and decide whether a model score can be trusted.
Experience
Work history, roles, and key accomplishments
Built an end-to-end compliance-scoring tool that parses regulatory obligations and checks bank documents using semantic similarity and keyword matching. Developed supervised and unsupervised NLP pipelines for complaint triage and theme taxonomy, shipping automated reports for non-technical teams.
Education
Degrees, certifications, and relevant coursework
Indian Statistical Institute, Bangalore
Master of Science, Applied Statistics and Data Science
2024 -
Pursuing a Master of Science in Applied Statistics and Data Science, focusing on statistical inference, hypothesis testing, and Bayesian methods.
Banaras Hindu University
Bachelor of Science, Pure and Applied Mathematics
2021 - 2024
Completed a Bachelor of Science with Honors in Pure and Applied Mathematics, building a strong foundation in mathematical reasoning and analysis.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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