Portfolio

Engineering leaders lack visibility into team performance; manual reporting is time-consuming and subjective

Agentic AI autonomously connects to Jira, GitHub, Confluence, and Bitbucket to analyze 2 years of commit history

Executive-ready dashboard with developer rankings, team health metrics, and trend analysis—built through conversation

Data scientists spend 80% of time on repetitive data wrangling instead of generating insights

AI assistant that understands entire data science workflows, enabling natural language exploration with enterprise security

100x workflow acceleration; analysts query complex datasets in plain English while data stays completely private

Data science team spending 80% of time on data wrangling instead of insight generation

Integrated Voitta AI assistant into existing Jupyter workflow for natural-language data exploration

70% reduction in time-to-insight; analysts can now query 180K+ records using plain English

Business analysts dependent on IT for every data request; 2-3 day turnaround for basic queries

LLM layer translating natural language questions into SQL against existing data warehouse

Self-service analytics for 200+ business users; IT ticket volume reduced 60%

Thousands of contracts requiring manual review for key terms and risk factors

AI-powered extraction and classification integrated with existing document management system

90% reduction in review time; flagged clauses surfaced automatically with confidence scores

Weekly compliance reports requiring 15+ hours of manual data aggregation and formatting

LLM-orchestrated pipeline connecting multiple data sources to templated report generation

Fully automated weekly reports; staff time reallocated to patient-facing activities