Open to opportunities

aayushmaan sharma

@aayushmaansharma

Message

I build LLM pipelines and AI platforms for compliant, enterprise-grade outcomes.

India

Message

What I'm looking for

I’m looking for a role where I can ship enterprise AI with rigorous LLM evaluation, structured outputs, and production-grade backend pipelines—balancing prototyping, data/ETL, and clear stakeholder delivery in a collaborative team.

I’m an Analyst at Deloitte in Bengaluru, focused on Enterprise AI & Data. I engineer LLM-based systems that turn regulated text into reliable, structured outputs, and I make model changes survivable through strong evaluation gates.

Recently, I engineered an LLM-based regulatory document intelligence pipeline that performs semantic classification and structured extraction into JSON. I paired it with a prompt evaluation framework—adversarial test suites, human-review rubrics, and benchmark spreadsheets—so every model change is gated before production release.

I also architected backend services for Suncorp’s AI-powered compliant-communication platform, including a Databricks LLM generation engine, a Django → PostgreSQL ETL pipeline feeding Tableau-ready compliance reports, and an S3 ingest/extract workflow for regulated data ingestion.

Beyond delivery, I drive generative AI prototyping through the AP Gen AI Incubator—feasibility assessment to model evaluation and hand-off. I earned NVIDIA Omniverse and RAG Agent certifications, ran internal AI enablement sessions, and continue building rigorous, operator-ready systems through my PRAHARI space domain awareness platform work.

Experience

Work history, roles, and key accomplishments

Current

Work Experience Analyst

Current

Deloitte

Aug 2024 - Present (2 years 2 months)

Engineered an LLM-based regulatory document intelligence pipeline with semantic classification and structured legal/compliance extraction into JSON, plus a prompt evaluation framework gating model changes before production. Architected backend services for an AI compliant-communication platform and drove generative AI prototyping for enterprise use-cases.

Document Intelligence Structured Extraction Prompt Engineering LLM Evaluation Human Review Rubrics Databricks Databricks LLM Generation Django PostgreSQL Tableau Report Exports S3 Ingestion AI Prototyping Nvidia Omniverse

Product Management Intern

Builder.ai

Jun 2023 - Aug 2023 (2 months)

Owned end-to-end delivery of two Studio4 buildcards (Health & Fitness and Food & Drink), managing sprint planning, cross-functional stakeholder alignment, and feature delivery through user acceptance and release. Authored 90+ user stories and conducted UX/UI reviews of 30+ third-party Figma prototypes against product specifications and usability heuristics.

Product Management Sprint Planning Cross Functional Design Review User Stories Requirements to Release Handoff User Acceptance Testing (UAT)

QA Engineer Intern

Cigniti Technologies

May 2023 - Jun 2023 (1 month)

Designed and executed a 33-case black/white-box test suite for Omnipod 5 (FDA-regulated) and automated 14 regression cases in PAF. Used Keil for white-box firmware analysis, Wireshark for Bluetooth-LE inspection, and Jira for defect and sprint coordination, including cross-sensor interoperability validation with Dexcom G6/G7.

Black Box Testing White Box Testing Test Suites Regression Testing Keil Wireshark Bluetooth LE (Bluetooth LE) Inspection Jira Omnipod 5 PAF Regression Automation Interoperability Validation Dexcom G6 G7 Integration Testing

Equity Research Intern

HDFC Mutual Fund

Apr 2022 - Jul 2022 (3 months)

Conducted quantitative performance attribution across large-, mid-, and small-cap equity funds by modeling the impact of TER structures, sector concentration, and thematic allocation on risk-adjusted returns. Benchmarked distribution-channel efficiency and fund-flow dynamics across 10+ fund categories.

Risk Adjusted Return TER Impact Modeling Sector Concentration Analysis Statistical Modeling Distribution Channel Efficiency Benchmarking Fund Flows