We design and develop advanced AI, Machine Learning, NLP, and AIoT-driven systems for real-world applications across finance, automation, healthcare sensing, aquaculture, enterprise compliance, and intelligent infrastructure.
Financial AI & Portfolio Intelligence
Developed a Portfolio Management System integrating GARCH statistical models and Natural Language Processing (NLP) to analyze financial volatility, market signals, and textual financial data. The system supports data-driven investment insights and predictive financial analytics.
AI-Assisted Automation Platforms
Built AI-powered social media automation systems using Python, BeautifulSoup, PyTorch, and cloud engineering frameworks. These platforms enable intelligent content processing, data extraction, and automated workflow orchestration for large-scale digital operations.
Healthcare Motion Analytics
Designed an accelerometer-based sensing data system combined with predictive modeling and machine learning algorithms for Parkinson’s disease detection using motion sensors. The system analyzes movement patterns and sensor signals to identify neurological anomalies and assist in early diagnostics.
AIoT Smart Aquaculture Solutions
Developed a Smart Pisciculture Solution for Lobster Farming using IoT and machine learning. The system integrates Arduino controllers, pH / DO / turbidity sensors, LoRa communication modules, ESP8266 modules, and Waveshare LCD display modules to monitor water quality, optimize aquaculture productivity, and enable early disease detection through predictive analytics.
NLP-Based Enterprise Compliance Systems
Built document intelligence platforms for automated policy verification using Natural Language Processing (NLP) and Machine Learning. Implemented with Python (NLTK, SpaCy), TensorFlow / PyTorch, and deployed on AWS, Azure, and GCP. The system integrates APIs for automated document parsing, compliance validation, and enterprise policy auditing.
AIoT Infrastructure Management Platforms
Designed an AIoT-based Visitor and Parking Management System for gated communities integrating IoT devices, AI analytics, and property management systems (Yardi, AppFolio). The architecture follows Agile DevOps, MLOps, Explainable AI (XAI), and Human-in-the-Loop (HITL) frameworks with CI/CD pipelines and compliance alignment for GDPR, CCPA, SOC2, and ADA standards.
AI-Powered Fraud Detection Platforms
Developed an AI-driven resume fraud detection platform using semantic embeddings, similarity scoring, and advanced orchestration frameworks. The system incorporates AI language models (OpenAI, Mixtral, LLaMA), LangChain orchestration, universal document parsing, and REST APIs to deliver real-time fraud detection with continuous learning loops that reduce false positives. The modular architecture integrates seamlessly with Applicant Tracking Systems (ATS) and scales with evolving fraud patterns.