Ashish Sharma

AI engineering · Quantitative systems · Kraków

I build AI systems people can trust.

I’m Ashish Sharma, an AI engineer working at the intersection of generative AI, model risk, and production software. I turn complex documents and data into useful systems with evidence built in.

Selected work

AI systems built for real decisions.

From source material to governed knowledge, retrieval, tools, and production delivery.

01

Governed AI knowledge

Financial-model knowledge base

An evidence-first system that turns complex financial-model documentation into governed, searchable knowledge for both people and AI workflows.

What matters: Every answer stays traceable to the source page, section, text span, and pipeline version.

  • Ingested 28 interconnected model documents
  • Designed an append-only model across 32 tables
  • Delivered streaming CLI and FastAPI interfaces
  • Python
  • PostgreSQL
  • RAG
  • Pydantic
  • FastAPI
02

AI-assisted review

Scenario intelligence

A scenario-comparison workflow that combines governed retrieval with Python analysis to help economists review reports and accelerate sign-off.

What matters: Retrieval respects document permissions in SQL while the service records models, tools, latency, and user attribution for auditability.

  • SharePoint delta-sync ingestion
  • ACL-filtered pgvector retrieval
  • Tool-calling orchestration with audit logging
  • Qwen
  • pgvector
  • SharePoint
  • FastAPI
  • pytest

Experience

Risk expertise meets production engineering.

I bring the judgment of a financial-services practitioner and the discipline of an engineer—useful when an AI system has to be more than an impressive demo.

Read the full résumé
2022—Now

Associate Director · UBS

Market risk models, Python platforms, and applied AI systems.

2021—2022

Assistant Vice President · Tata Capital

Credit risk modelling, portfolio monitoring, and decision support.

2016—2021

Associate Investment Manager · Piramal Capital

Portfolio analysis and risk assessment.

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