A selection of intelligent systems, automation workflows, software platforms, and machine-learning work designed around practical outcomes.
Each project shows the problem space, the system direction, and the engineering workflow behind the solution.
An autonomous AI system that generates, audits, self-corrects, and prepares smart contracts for EVM and Solana from plain-English requirements.
Time-series forecasting using multiple machine-learning models and LSTM-based sequence modeling with feature engineering.
Video and image wall segmentation using SAM2 with custom overlays for visualizing model output across frames and images.
A vision-transformer workflow for skin-cancer image classification, including fine-tuning and TensorFlow Lite conversion.
Gender classification on FairFace with a ResNet50 baseline and fairness metrics to evaluate model behavior across groups.
Dynamic programming and reinforcement-learning experiments on the Blackjack MDP using SARSA and Q-learning.
A consolidated X-15 flight-dynamics study with simulation, LQR control, literature review, and ARX system identification.
An interpretable Airbnb nightly-price model built with the SEMMA workflow, data cleaning, exploration, transformations, and regression assessment.
Preprocessing and loading workflows for KGQA datasets and knowledge graphs including CWQ, SimpleQuestions, WebQSP, Freebase, and Wikidata.
Short case-study views of how we frame the challenge, design the system, and connect the implementation to a business outcome.
How our own website became an interactive solution platform with RAG advisory, decision tools, architecture, and public project evidence.
Agent-oriented multi-chain smart-contract generation, review, and correction based on a public engineering repository.
Forecasting, vision, reinforcement learning, fairness, simulation, regression, and knowledge-system work presented as inspectable technical evidence.
Bring the business challenge, existing workflow, or early idea. We will help turn it into a clear engineering path.