SELECTED WORK

Production-Grade Architecture.

A curation of production-grade AI systems. Each project represents a specific challenge in scalability, reasoning, or automation—solved through bespoke engineering.

Agentic AI Framework

The Orchestrator

Business Impact

Transforms static SOPs into an active, self-managing digital workforce, reducing operational overhead by 60%.

The Challenge

Complex business workflows (like employee onboarding or procurement) require constant human oversight and hand-offs, creating bottlenecks.

The Solution

A multi-agent system where autonomous workers plan, execute, and verify tasks. It handles exceptions and reports progress with minimal human-in-the-loop.

Engineered With

PythonLangGraphDockerPostgresCeleryRedis
Retail Intelligence

Counterpoint POS

Business Impact

Increased transaction speed by 30% and eliminated inventory-related revenue loss.

The Challenge

High-volume retail environments suffer from slow manual entry and inventory drift, leading to lost sales and shrinkage.

The Solution

A bespoke, voice-enabled POS system. It uses local LLMs to process natural language orders and automatically reconciles inventory in real-time.

Engineered With

AngularTypeScriptPythonDjangoPostgreSQLDockerTogether AI
Financial Analytics

Momentum

Business Impact

Compresses 20 minutes of manual financial modelling into a <3 second conversational query.

The Challenge

Small businesses lack the CFO-level tooling to accurately forecast cash flow, relying on error-prone spreadsheets.

The Solution

A full-stack SaaS featuring a real-time analytics dashboard and a conversational forecasting module powered by LLaMA 3.3.

Engineered With

ReactNext.jsFastAPISQLiteProphetLLaMA
Legal Tech AI

Precedent

Business Impact

Accelerates legal research by parsing thousands of case files to extract relevant precedents in seconds.

The Challenge

Legal professionals spend billable hours manually sifting through case law, increasing costs for clients.

The Solution

An advanced NLP engine that parses legal documents, understands citation networks, and provides accurate, summarized briefs.

Engineered With

Next.jsPythonSpaCyTransformersVectorDB
MedTech Research

Synapse

Business Impact

Automates the literature review process, allowing researchers to track medical breakthroughs in real-time.

The Challenge

The exponential growth of medical literature makes it impossible for researchers to stay current manually.

The Solution

An NLP pipeline connecting to the PubMed API. It synthesizes abstracts into concise research briefs and identifies conflicting studies.

Engineered With

ReactFastAPIBioBERTPubMed API
IoT / CleanTech

Joule

Business Impact

Democratizes energy data, allowing homeowners to reduce waste through natural language insights.

The Challenge

Smart meters generate data that is inaccessible to the average user, resulting in missed savings opportunities.

The Solution

A real-time telemetry dashboard backed by a conversational agent that explains usage spikes and suggests optimization strategies.

Engineered With

PythonFastAPIReactTimescaleDBDockerMistral
Market Intelligence

Vantage

Business Impact

Identified 3 major market gaps in Month 1, driving a 40% increase in qualified leads for the client.

The Challenge

A MarTech agency needed to track competitor movements across fragmented channels in real-time.

The Solution

A competitive intelligence engine combining web scraping, sentiment analysis, and predictive modeling to flag emerging trends.

Engineered With

Node.jsReactRedisWebSocketPuppeteerTogether AI

R&D BLUEPRINTS

Active internal research. These engines are currently in development to address the next generation of business challenges.

Living Intelligence

Sentience

Problem: Static databases fail to capture the nuance of changing context and evolving business rules.

Approach: Developing a memory-augmented reasoning engine that learns from interactions and updates its own knowledge graph in real-time.

"Decision support that gets smarter over time, adapting to your business as it grows."

Behavioral AI

Keystone

Problem: Personal development apps lack the context to provide genuine accountability.

Approach: A mobile-first AI coach that builds a psychological profile to offer tailored, just-in-time interventions.

"High-retention consumer application supporting long-term behavioral change."