Systems we've shipped

High call volumes, missed SMS queries, and fragmented reporting limited scalability and service consistency.

A unified conversational AI system automating voice calls, SMS support, and CRM updates — delivering consistent 24/7 service.

Twilio, Next.js, Vercel, n8n, GPT agents with real-time analytics and routing.

High email volume, delayed responses, misrouted requests, and inefficient technician dispatch increased operational costs.

An AI system that classifies incoming requests, extracts key data, and routes them to the right team by intent and location — eliminating manual triaging.

GPT + n8n orchestration, geo-location routing logic, and CRM & dispatch integration.

Voice bots failing with timezone conversions, booking errors, and broken calendar API formatting.

A multi-tenant AI receptionist that handles calls, bookings, and onboarding with zero scheduling errors, converting natural voice into precise calendar actions.

Retell AI voice engine, Supabase multi-tenant backend, and a custom date-normalization scheduling system.

Oracle-to-PostgreSQL migrations stall on unknowns: how much PL/SQL, which features have no counterpart, and what the move really costs — answers usually locked behind consulting engagements and tools that overpromise.

A public, offline-first engine: the client DBA runs one extraction script, and pgrecon turns the dump into findings across 63+ compatibility rules, a defensible effort estimate, and converted schema DDL — everything it cannot prove becomes a named line in a residue report, never a silent guess.

Python, ANTLR PL/SQL grammar, sqlglot — open source on GitHub, installable from PyPI as pgrecon.

Manual webinar creation required multiple teams, tools, and days of preparation.

A full-stack AI system that generates complete webinar assets — scripts, landing pages, and email sequences — from a single input.

FastAPI backend, React interface, and hierarchical multi-agent orchestration.

High lead volume, low qualification accuracy, and 60% of time lost on manual research.

An AI system that automatically qualifies, enriches, and routes B2B leads in real time — reducing manual effort and increasing conversion efficiency.

CrewAI orchestration, a custom lead-scoring algorithm, and seamless API-based CRM integration.

Manual campaign ideation took 8–10 hours and required heavy coordination between research, design, and copy teams.

A parallel multi-agent system generating hooks, visuals, and copy simultaneously — cutting turnaround from hours to minutes while preserving brand consistency.

CrewAI orchestration, GPT-based image generation, and a semantic brand-compliance validation engine.

Maintaining consistent, research-backed LinkedIn authority without losing personal tone or credibility.

An AI system that transforms real-time industry research into high-authority content while preserving the user's authentic voice.

Streamlit dashboard, CrewAI multi-agent orchestration, and tone-pattern analysis models.

Manual content repurposing across platforms consumed dozens of hours and required separate creative workflows.

A multi-agent pipeline that converts one long-form video into SEO blogs, viral Twitter/X threads, and high-value newsletters.

Multi-agent transcript pipeline boosting output 3× while reducing publishing time by 85%.

Traditional cold storage relies on reactive alerts, causing spoilage, compliance risks, and high energy costs.

An AI dashboard integrating IoT sensors with predictive ML to forecast temperature deviations and trigger early alerts.

FastAPI backend, React dashboard, time-series ML forecasting, and integrated industrial IoT sensors.

Traditional e-learning lacks personalization, reducing engagement and completion rates among young learners.

An AI-driven adaptive framework that dynamically adjusts lesson difficulty and narrative based on student progress and engagement.

Fine-tuned GPT models, real-time engagement tracking, adaptive APIs, and dynamic content generation.