I build agentic AI
that runs in production.the open.real markets.production.

AI Poetry-to-Art Generator

2025 · Personal project

Turns a poem into original artwork through a multi-stage pipeline: semantic analysis with Gemini 2.0 → automated prompt engineering → image synthesis with Imagen 3.0 on Vertex AI → hybrid editing and text overlay. Six languages, six art styles, tunable mood intensity.

Multi-Agent Productivity Assistant

2026 · Gen AI Academy APAC — Cohort 1 Hackathon

A root ADK orchestrator routing to specialised sub-agents — InboxAgent (Gmail over MCP), PlannerAgent (Calendar over MCP), DataAgent (AlloyDB vector search as a personal CRM) — with a SequentialAgent synthesising the reply. Containerised on Cloud Run.

MCP over BigQuery + Google Maps

2026 · Google Cloud Gen AI Academy APAC

An ADK agent wired to two remote MCP servers — BigQuery for demographic, pricing and sales data, Google Maps for location analysis. Scores zip codes by demographics and foot traffic, flags underperforming stores, projects next-month revenue and measures competitor density.

Multi-Agent Blockchain Analytics

2024 · Winner — Best DeFi Application

Multi-agent whale tracking across Ethereum, BNB Smart Chain and Polygon using the OpenServ SDK, with Alchemy webhooks driving sub-second transaction monitoring. Confidence-scored detection of accumulation, distribution and coordinated movements, with automated exchange-wallet exclusion.

Mantle & BNB hackathon builds

2026 · Hackathon adapters

Thin per-chain adapters that import the SMT brain and expose it to a specific ecosystem — keeping one shared decision engine behind platform-specific front ends rather than forking the strategy code.

JobsForHer Foundation

2025 · Hackathon project

A context-aware chatbot surfacing job listings, community events and mentorship programmes, and handling FAQs — built to support women returning to and advancing in the workforce.

HIPAA-Compliant Healthcare AI

2025 – 2026 · Personal project

A healthcare AI project built around HIPAA compliance constraints — handling protected health information under the access, auditing and data-handling rules regulated medical software requires.

Ask questions about any page

2025 · Personal project

Paste a set of URLs and ask questions about their contents; the app retrieves and answers from page text using a DistilBERT question-answering model.

Capstone — Computer Vision

Dec 2024 – Jan 2025 · Great Learning

Vehicle make/model/year classification reaching 69.2% accuracy with ResNet50, plus Fast R-CNN object detection across 16,185 images spanning 196 classes.

Plant species recognition

Jun – Jul 2024 · UT Austin McCombs

83.79% accuracy with a CNN for automated plant-species classification across 4,750+ seedling images, benchmarked against Random Forest and SVM baselines.

Neural networks, two domains

Aug – Sep 2024 · UT Austin McCombs

Neural networks reaching 90% accuracy on signal-quality prediction and 85% on SVHN street-number digit recognition, with regularisation and a visualisation suite for real-world noise.

Telecom retention

Oct – Nov 2024 · UT Austin McCombs

81.48% accuracy identifying customers likely to cancel, comparing Bagging, AdaBoost and Gradient Boosting, and converting the model into a prioritised retention strategy.

591 sensor signals

Sep – Oct 2024 · UT Austin McCombs

Pass/fail yield prediction from manufacturing sensor data, using feature selection and SMOTE to cut 591 signals down to the ones that actually carry information about defects.

Ad-revenue prediction

Jul – Aug 2024 · Internship Studio

Random Forest regression predicting advertisement views from engagement metrics across 15,000+ videos, packaged for integration with business dashboards.

Credit risk

Feb 2025 · Great Learning Hackathon

A classification model predicting whether a client will default on loan repayment, built against a non-banking financial company dataset under hackathon time constraints.

K-Means + PCA-enhanced SVM

Apr – May 2024 · UT Austin McCombs

Vehicle segmentation with K-Means clustering and classification with a PCA-enhanced SVM, analysing MPG, displacement, horsepower and weight across 102 features.

Financial news NLP

Nov – Dec 2024 · UT Austin McCombs

An ensemble sentiment classifier over financial news using Word2Vec, GloVe and SBERT embeddings, with weekly market summaries generated by a Mistral-7B LLM.

SQL business intelligence

Jul – Aug 2024 · UT Austin McCombs

Customer behaviour and sales analysis for a vehicle-resale business covering 994 customers and $1.25B revenue, with a KPI tracking system identifying key markets.

Pricing + HR attrition

May – Jun 2024 · UT Austin McCombs

Two supervised-learning studies: 86% accuracy on used-car price prediction for Cars4U, and 84% on employee attrition for a healthcare HR dataset.

User & sales insight

2024 – 2025 · Personal project

A dashboard surfacing user-behaviour and sales-trend insights for an e-commerce site, turning raw event and transaction data into merchandising decisions.

Statistical foundations

May – Jun 2024 · UT Austin McCombs

Hypothesis testing on car-purchase behaviour, manufacturing quality control identifying a 5% defect rate, and probability models for weekly sales forecasting.

Hybrid Selenium framework

2024 · Personal project

A hybrid data-driven Selenium framework with Page Object Model structure, external test data, cross-browser runs on Edge/Chrome/Firefox, HTML reporting and failure screenshots — wired into Jenkins.

A challenge a day

2025 · Completed challenge

All fifty exercises from Benjamin Bennett Alexander’s challenge — data structures, file I/O, CSV and JSON handling, SQLite, and a Flask web app as the day-50 capstone.