Projects

Systems and research tools I've built — medical imaging pipelines, agent infrastructure, local ML deployment, and the hardware they run on.

WSI Detection Platform

Gigapixel Pathology Inference

A platform for running AI detection models across whole-slide images — tumour-cell and mitotic-figure detection over gigapixel inputs, with tiled inference and region-level result aggregation.

PythonPyTorchOpenSlideDICOMGPU

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NEXUS OS

Bootable AI Operating Environment

A ReAct-style agent orchestrator with skill auto-discovery, a permission model, and a FastAPI server, packaged as a bootable Linux distribution. Extended with vision, RAG, scheduling, and homelab monitoring.

FastAPILinuxAgentsRAGVision

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Local Document-AI Extraction Pipeline

On-Prem OCR + Local LLM

An on-premises pipeline for structured extraction from scanned documents, with canonical item matching and a comparison dashboard — running fully locally on a GPU workstation, no data leaving the machine.

pdfplumberTesseractOllamaPython

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ProjectFlow

Self-Hosted Project Tracker

A production project tracker built at Systems Group — OTP email authentication, Alembic migrations, GitHub Actions CI, and VM deployment.

FastAPIPostgreSQLNext.jsDockerCI/CD

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Distributed Inference Cluster

Heterogeneous Local LLM Serving

A two-node heterogeneous inference cluster (macOS + Windows/WSL) using exo, exploring model sharding and peer discovery for serving large models across commodity hardware.

exoModel ShardingmacOSWSL

Agricultural Crop-Image Platform — PJTSAU

Professor Jayashankar Telangana State Agricultural University

A mobile application letting farmers upload crop images for expert review by university faculty, designed to curate a labeled agricultural image dataset for training predictive models toward automated crop diagnosis.

MobileDataset CurationAI Integration

Smart-Farming Weed Detection

Computer Vision on an IoT Field Platform

A computer-vision weed-detection system running on an IoT field platform, classifying crop versus weed from field imagery to help farmers target infestations efficiently.

IoTComputer VisionImage Recognition

“orion” Research Homelab

Self-Administered Compute Substrate

A self-administered Linux workstation with RAID storage, zero-trust remote access, and GPU-backed local LLM inference — the compute substrate behind the imaging, document-AI, and agent work above.

LinuxRAIDZero TrustGPU