Currently @ Evident Microscopy · Whole Slide Imaging Systems

Dinakar Pathakota

Backend & Systems Engineer

Building large-scale imaging pipelines and AI infrastructure.

I build production systems that process large-scale microscopy data and power automated medical image analysis. Currently working on Whole Slide Imaging pipelines integrating detection algorithms for cancer and cellular analysis.

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Experience

Software Engineering Intern

Evident Microscopy (formerly Pramana.ai)

Present

›Develop and maintain backend pipelines for Whole Slide Imaging (WSI) systems
›Process gigapixel microscopy images used in pathology workflows
›Integrate detection algorithms for identifying cancer cells, bone marrow cells, and pathological features
›Build backend services for image processing, data transfer, and pipeline orchestration
›Work with high-throughput imaging hardware and automated diagnostic workflows

PythonRabbitMQLinuxDistributed SystemsImage Processing

Featured Projects

All projects

Serverless ML Deployment

AWS SageMaker

Scalable architecture for deploying ML models using SageMaker with serverless inference endpoints and automated scaling.

AWSSageMakerPythonMLOps

Fraud Detection System

ML Pipeline

End-to-end ML pipeline for detecting fraudulent transactions using anomaly detection and feature engineering.

Pythonscikit-learnFastAPIPostgreSQL

AIForge

AI Model Marketplace

Open platform for sharing, downloading, and running AI agents and ML models locally. Developer-first model marketplace.

DjangoReactViteDocker

Automated AWS Deployment

Infrastructure as Code

Automated infrastructure setup for deploying web servers on EC2 with secure VPC architecture and scalable config.

AWSEC2VPCBash

Systems I Work With

Whole Slide Imaging Pipelines

WSI scanners capture extremely large pathology images that can exceed gigapixel resolution. Processing these images requires specialized pipelines with multiple stages operating at scale.

These pipelines support automated medical diagnostics and large-scale image analysis including cancer cell detection and cellular marker identification.

wsi-pipeline.sh

Scanner acquisition

High-speed data transfer

Image stitching

Preprocessing

Algorithm analysis

Storage & retrieval

Skills

Languages

PythonJavaScriptC++

Backend

DjangoREST APIsMicroservices

Systems

LinuxRabbitMQDistributed Systems

Cloud

AWSEC2SageMaker

AI/ML

TensorFlowML PipelinesModel Deploy