Building intelligent systems that move from technical promise to real world execution.
I design and deliver enterprise AI solutions across cloud platforms, agentic systems, data architecture, and applied machine learning. My background spans consulting, product acceleration, quantitative systems, and complex delivery in regulated and high stakes environments.
A technical career shaped by building across disciplines.
My work sits at the intersection of AI, engineering, and business transformation. I have helped organizations design enterprise AI solutions, modernize cloud and data platforms, and translate emerging technology into systems that teams can actually operate and trust.
What makes my background different is the range. I have built client facing AI accelerators, delivered large scale enterprise programs, and founded a quantitative trading platform where infrastructure, signal quality, and execution discipline mattered every day. That mix gives me a practical perspective on architecture, delivery, and value creation.
Work spanning AI platforms, forecasting, agentic systems, decision intelligence, legal AI, and applied machine learning.
GenAI Market Intelligence Dashboard
Designed a market intelligence dashboard that brings together macro moves, market context, and signal-oriented indicators into a streamlined interface for monitoring changing conditions and surfacing strategy ideas.
Demand Forecasting Engine
Built forecasting workflows to improve planning accuracy and support better operational decisions, combining data pipelines, modeling approaches, and business context to make outputs usable for real teams.
Financial Signal Modeling Platform
Built a high performance analytics platform for financial modeling, signal generation, and decision support across systematic strategies, connecting data ingestion, infrastructure, and quantitative research into one production minded environment.
AI Data Migrator Platform
Designed a migration accelerator that used prompt engineering and few shot examples to translate legacy SQL logic into scalable PySpark workflows, reducing manual conversion effort and helping teams modernize data estates faster.
QueryMind Database Explorer
Created an AI driven query experience that allows users to interact with structured data using natural language, helping business teams retrieve answers faster while improving accessibility to technical datasets.
Healthcare Agentic Helpers
Designed agentic helper patterns for healthcare oriented workflows, focused on improving process support, coordination, and information handling in environments where traceability and responsible design matter.
KYC Identity Verification Solution
Built an identity verification workflow that combined document processing and AI driven validation patterns to support faster customer onboarding while improving consistency and review efficiency.
Legal Clause Intelligence
Created an AI solution for extracting, reviewing, and summarizing legal clauses using document intelligence services and LLM based analysis to support faster contract review and improved traceability.
Weather Station Geolocation Recovery Model
Developed a machine learning pipeline to reconstruct corrupted latitude data in weather station records, transforming incomplete datasets into usable geospatial information. The project focused on feature engineering, data validation, and building a reproducible workflow for handling real-world data quality issues.
