Recent Engineering Case Studies.

A selection of intelligent systems, automation workflows, software platforms, and machine-learning work designed around practical outcomes.

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Systems built to move from idea to working capability.

Each project shows the problem space, the system direction, and the engineering workflow behind the solution.

Case Studies

01AI AGENTS · WEB3AURA Forge / Cross-Chain Hub＋

An autonomous AI system that generates, audits, self-corrects, and prepares smart contracts for EVM and Solana from plain-English requirements.

LangGraphMCPSolidityAnchor / Rust

Requirements→Agent audit loop→Contract output

02ML · FORECASTINGRetail Sales Forecasting＋

Time-series forecasting using multiple machine-learning models and LSTM-based sequence modeling with feature engineering.

PythonLSTMFeature engineering

Sales history→Feature engineering→Forecast

03COMPUTER VISION · AISAM2 Video Wall Segmentation＋

Video and image wall segmentation using SAM2 with custom overlays for visualizing model output across frames and images.

SAM2SegmentationVisual overlays

Video / images→SAM2→Segmented output

04VISION · DEEP LEARNINGDeiT Skin Cancer Classification＋

A vision-transformer workflow for skin-cancer image classification, including fine-tuning and TensorFlow Lite conversion.

DeiTTensorFlow LiteImage classification

Dermoscopy image→Fine-tuned model→Classification

05RESPONSIBLE AI · VISIONFairFace Gender Bias Analysis＋

Gender classification on FairFace with a ResNet50 baseline and fairness metrics to evaluate model behavior across groups.

ResNet50Fairness metricsGroup analysis

Dataset→Model evaluation→Fairness insight

06REINFORCEMENT LEARNINGBlackjack Reinforcement Learning＋

Dynamic programming and reinforcement-learning experiments on the Blackjack MDP using SARSA and Q-learning.

SARSAQ-learningMDP

Environment→Policy learning→Action

07SIMULATION · CONTROLX-15 Flight Dynamics Simulation＋

A consolidated X-15 flight-dynamics study with simulation, LQR control, literature review, and ARX system identification.

SimulationLQRARX

Flight data→Dynamics model→Control

08DATA SCIENCE · REGRESSIONAirbnb SEMMA Price Regression＋

An interpretable Airbnb nightly-price model built with the SEMMA workflow, data cleaning, exploration, transformations, and regression assessment.

SEMMARegressionEDA

Listings→Transformations→Price estimate

09KNOWLEDGE SYSTEMS · NLPKnowledge Graph QA Preprocessing＋

Preprocessing and loading workflows for KGQA datasets and knowledge graphs including CWQ, SimpleQuestions, WebQSP, Freebase, and Wikidata.

KGQAFreebaseWikidata

Questions→Graph preprocessing→QA-ready data

Recent Engineering Case Studies

From operational friction to measurable capability.

Short case-study views of how we frame the challenge, design the system, and connect the implementation to a business outcome.

01INTERNAL PRODUCT · AI PLATFORM

AI-Enabled Digital Platform

How our own website became an interactive solution platform with RAG advisory, decision tools, architecture, and public project evidence.

EvidenceImplemented directly in this website.

Business intent→RAG + decision tools→Clear next step

THE CHALLENGE

People needed a clearer way to understand where AI, automation, software, and integration could fit their actual operations.

THE SYSTEM

A connected experience combining grounded site-memory advice, interactive decision tools, architecture thinking, and inspectable engineering work.

RAG advisoryDecision toolsPublic evidence

02PUBLIC ENGINEERING · AI AGENTS / WEB3

AURA Forge / Cross-Chain Hub

Agent-oriented multi-chain smart-contract generation, review, and correction based on a public engineering repository.

EvidencePublic repository and implementation artifacts.

Requirements→Agent workflow→Audited contracts

THE CHALLENGE

Translate plain-English requirements into a repeatable smart-contract workflow across EVM and Solana targets.

THE SYSTEM

Agent orchestration separates requirement parsing, generation, audit, and self-correction, with MCP, Solidity, and Anchor/Rust workflows.

Multi-chainAgent audit loopPublic repository

03PUBLIC ENGINEERING · APPLIED AI

Applied AI Engineering Lab

Forecasting, vision, reinforcement learning, fairness, simulation, regression, and knowledge-system work presented as inspectable technical evidence.

EvidenceCurated public projects and notebooks.

Models→Experiments→Inspectable evidence

THE CHALLENGE

Make applied AI work easier to inspect across different model families, datasets, and engineering disciplines.

THE SYSTEM

A curated lab spanning forecasting, computer vision, reinforcement learning, fairness, simulation, regression, and knowledge graphs.

Model comparisonResponsible AIInspectable notebooks

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