Production ML · Agentic AI · Data Engineering · Deep Learning · Research
AI/ML Engineer and Technical Consultant at HPE, working on production ML, data engineering, automation, forecasting and applied AI systems. Alongside industry work, I do research in computer vision, deep learning and generative AI, published across IEEE, Elsevier and Springer venues.
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| ML & vision |
      
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| Generative & agentic AI |
        
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| Data engineering & analytics |
      
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| Backend & deployment |
     
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Published research |
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FMANet |
Colorectal tissue classification with fused attention features TensorFlow · Keras · Histopathology |
kidney-ct-attention-cnn |
Dual-attention CNN for kidney CT classification TensorFlow · Keras · CT imaging |
DARINet |
Plant disease identification with dual self-attention TensorFlow · Keras · Agriculture |
| Applied AI and vision |
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| esg-hybrid-rag | Hybrid dense + BM25 retrieval over ESG reports Python · Sentence-Transformers · RRF |
| wildfire-spread-prediction | Next-day wildfire spread with an Attention U-Net TensorFlow · Segmentation · Remote sensing |
| wbc-multistream-cnn | Three-stream blood-cell classification with gated fusion TensorFlow · OpenCV · Medical imaging |
| aerial-vehicle-detection | YOLOv8 vehicle detection in drone imagery Ultralytics · Object detection |
| carotid-ultrasound-segmentation | Attention segmentation of carotid ultrasound TensorFlow · Segmentation · Ultrasound |
Publications in computer vision, deep learning, generative AI and cloud computing. Selected:
- Fused multi-level attention features with a constraint fusion network for colorectal tissue classification using histopathological images, Computers and Electrical Engineering, 2025
- Generative AI for image classification: a comprehensive review and future directions, Procedia Computer Science, 2025
- Reducing the Carbon Footprint of Data Centers: CNN-Transformer-Based Workload Prediction for Green Cloud Computing, 2025
- Towards Smart Waste Sorting: Lightweight CNN with Attention Mechanisms for Enhanced Classification, 2025
- Cloud-Based SaaS Solutions for Predictive Sales Forecasting in E-Commerce, WCONF, 2025
- Attention based deep neural network for classification of kidney ailments using CT images, ICCCNT, 2024
- Plant disease identification using a dual self-attention modified residual-inception network, ICUMT, 2023
M.Tech, Data Science & AI (Expected)
B.Tech, Computer Science
Building intelligent systems at the intersection of data, AI, and research.