CTO & Co-founder (LexGrow) at LexGrow

Led the pivot from a service-based legal marketing agency to an AI-powered SaaS platform. Architected systems to automate agency workflows including automated SEO/AEO: research search demand, generate and optimize content, create programmatic practice-area/location pages, and monitor performance. Designed LLM + search-data-driven content pipelines for research, drafting, optimization, publishing, and maintenance. Built programmatic SEO infrastructure with SSR, structured data, internal linking, XML sitemaps, IndexNow, and technical SEO monitoring. Implemented workflow automation that converts law-firm data and business goals into executable marketing campaigns. Architected a multi-tenant SaaS platform for automated onboarding, analytics, billing, integrations, and scalable delivery across law firms.

CTO & Co-founder at LexPair

Co-founded and architected a multi-tenant SaaS platform for law firms including SEO/AEO visibility, analytics, and a legal services marketplace. Launched a two-sided marketplace connecting clients and attorneys using a hybrid SSR/CSR React + TypeScript platform. Engineered a rules-driven lead distribution system (pgmq queues, round-robin, exclusive previews, claim windows) plus supply-side economics for real-time budget and margin optimization. Developed AI-powered systems across the platform including content generation, automated case summarization, and intelligent intake workflows using OpenAI and search data APIs. Implemented Stripe-based billing with dynamic pricing models (practice-area SKUs, territory credits, ROI calculators). Built admin/compliance operations including dashboards, integration monitoring, TCPA/GDPR safeguards, and SEO infrastructure (SSR pages, sitemaps, IndexNow).

Remote Product Engineer at TechinQuest

Designed and implemented a multi-agent NLP pipeline using Amazon Bedrock LLMs to extract rebate logic from documents. Built a robust anonymization/redaction layer for medical contracts to ensure HIPAA compliance. Integrated OCR + layout parsing, including reliable extraction from tables and free-text sections to identify business logic. Built automated rebate forecasting pipelines using Amazon SageMaker (Autopilot and custom models) to reduce manual analysis effort.

Remote Software Engineer at ValueHealth AI

Architected and deployed a PostgreSQL database managing patient records, prescriptions, and provider linkages. Developed Python ETL pipelines for multi-million row datasets, reducing manual ingestion time by 40%. Implemented schema validation for data quality and downstream semantic consistency. Collaborated with product and engineering teams to structure data assets for frontend consumption.