ENGINEERED
SYSTEMS
Node_Status: Online
Deployed_Protocols: 06
Compliance_Check: Passed
Timestamp: 26.01.2026
Agentic Hiring Intelligence
Traditional ATS systems rely on shallow keyword matching, creating high-entropy hiring pipelines. This project replaces 'black-box' scoring with a deterministic, audit-ready decision engine.
Architectural_Impact
"Engineered an MCP server + client orchestration layer to automate skill normalization and bias diagnostics. It enables human-in-the-loop overrides by providing causal sensitivity analysis."
Geospatial Feature Extraction
Manual land cover survey methods are slow and cost-prohibitive. This system automates LULC classification using multispectral satellite data to provide real-time environmental insights.
Architectural_Impact
"Optimized a VGG19 Transfer Learning architecture to process RGB and spectral bands from the EuroSAT dataset, achieving high-fidelity classification across 10 distinct environmental classes."
Industrial Asset Reliability
Industrial downtime is a multibillion-dollar problem. I built a system to shift maintenance from reactive failure response to predictive health monitoring via RUL estimation.
Architectural_Impact
"Integrated Random Forest Regressors and LSTM networks to calculate Remaining Useful Life (RUL) with high precision, processing real-time telemetry from IoT sensor arrays."
Equitable Health Interface
Language barriers in healthcare lead to fatal delays. This system provides low-latency medical triaging in native dialects for underserved regions.
Architectural_Impact
"Developed a Hybrid DNN-RNN architecture combined with TF-IDF retrieval to automate symptom-to-diagnosis mapping across multiple languages."
Sustainable Finance Auditor
Corporate 'Greenwashing' thrives on data fragmentation. I built an automated ESG auditor to extract quantitative evidence from dense textual reports.
Architectural_Impact
"Utilized Bio-BERT and NLP pipelines to standardize corporate transparency. The system generates a quantitative 0-to-3 score based on verified textual disclosures."
Public Policy Risk Analytics
Identifying risk patterns in biased public datasets requires moving beyond outlier detection into explainable policy intelligence.
Architectural_Impact
"Architected an end-to-end data pipeline that transforms fragmented datasets into district-level risk indicators, optimized for human rights oversight."