---
title: "Degavath Anand Nayak - Software Engineer in Bengaluru | Tal"
description: "Meet Degavath Anand Nayak, Full stack developer @GE HealthCare | AngularJS | ReactJS | Java | Python | C++ | building scalable web applications | Medical Imaging Systems based in Bengaluru. AI stack includes claude, gemini, and openai. Explore public work links including leetcode."
image: "https://tal.club/meet/degavath-anand-nayak/share-image"
---

# Degavath Anand Nayak on Tal

## Headline

Full stack developer @GE HealthCare \| AngularJS \| ReactJS \| Java \| Python \| C\+\+ \| building scalable web applications \| Medical Imaging Systems

## About

\- I build performance\-critical computer vision and imaging systems that run inside MRI and CT scanners across 4,000\+ hospitals worldwide — software where a 60\-millisecond delay isn't a UX annoyance, it's a delay in a patient's diagnosis\. \- Over 4 years at GE HealthCare, I've owned the full stack of that problem: from GPU\-accelerated keypoint detection models \(97% accuracy\) that automate patient positioning, to OpenCV\-based algorithms that fixed a firmware issue affecting 4,000\+ hospital sites, to rebuilding imaging pipeline architecture for a 76% CPU and 85% memory footprint reduction on hospital consoles that can't afford to crash mid\-scan\. \- What I care about is the intersection of computer vision, systems performance, and reliability at scale — building things that are not just accurate in a demo, but stable, fast, and safe in a hospital running them 24/7 on thousands of machines\. > \*\*Selected impact:\*\* > 🔹 3\.4x faster point\-cloud generation \(89ms → 26ms\) for automated patient positioning > 🔹 Scaled camera\-service deployment from 1,000 → 4,000\+ hospitals in 12 months > 🔹 76% CPU reduction, 85% memory reduction on production imaging consoles > 🔹 40x smaller frontend bundle \(1027KB → 24KB\) shipped across hospital UI consoles

## Location

Bengaluru

## AI stack

claude

gemini

openai

claudecode

ChatGPT Images

Microsoft Copilot

## Work experience

Software Engineer at GE Healthcare, Jun 2024 \- Present · 2 yrs 5 mos, On\-site, \- 🚀 Engineered a camera\-based body\-contour service achieving 3\.4x faster point\-cloud generation \(89ms → 26ms\), eliminating manual repositioning delays for automated patient positioning during MRI/CT scans \- Slashed /pointcloud\-statistics API response time by 87% \(5,000ms to 661ms\) by redesigning the backend using the Hexagonal \(Ports and Adapters\) design pattern\. \- 🛠️ Fixed a critical firmware landmark defect affecting \*\*4,000\+ hospital sites\*\* by building an OpenCV\-based peak\-detection algorithm on point\-cloud elevation data — preventing patient mispositioning during scans \- 📈 Scaled imaging platform deployment from 1,000 to 4,000\+ hospitals in 12 months, enabling AI\-driven positioning technology for 10,000\+ radiology professionals \- ⚡ Re\-architected the imaging pipeline for 76% CPU reduction \(100%→24%\) and 85% memory reduction \(1\.4GB→204MB\), delivering mission\-critical stability for hospital imaging consoles \- 🤖 Led development of a GPU\-accelerated \(NVIDIA\) keypoint\-detection module using BodyPoseNet, hitting 97% keypoint\-detection accuracy; mentored 1 intern as part of GE's autonomous\-imaging initiative \- 🎓 Mentored an intern and developed an RGB frame correction solution using computer vision enabling direct gantry\-mounted camera positioning, eliminating additional mounting costs and installation complexity for customers and field engineers\. \- ⏱️ Cut CI/CD pipeline runtime from 18 min to 8 min \(56% faster\) by identifying and removing key bottlenecks

Edison Engineering Developent Program at GE Healthcare, Aug 2022 \- Jun 2024 · 1 yr 11 mos, Bengaluru, Karnataka, India, \- 📦 Slashed the kyma\-single\-wave micro\-frontend bundle size 40x \(1027KB → 24KB\), dramatically improving UI responsiveness on hospital imaging consoles during time\-sensitive scans \- 🔍 Ran a full FMEA analysis, identifying 10\+ critical failure modes, and systematized fixes that delivered production\-grade reliability for hospital\-deployed systems \- 🔗 Integrated GE Protocol Management MFE into the main MRUI platform, unblocking 70\+ cross\-functional teams and accelerating product velocity across imaging divisions \- 🧩 Modernized 13 micro\-frontend applications to a standardized EDS architecture, ensuring consistent UX for radiology technicians across MRI, CT, and X\-Ray

Core\-Coordinator at NRITYAM \- The Dance Club of NIT Raipur, Jun 2020 \- May 2021 · 1 yr, Raipur, Chhattisgarh, India

Coordinator at NRITYAM \- The Dance Club of NIT Raipur, Jun 2019 \- May 2020 · 1 yr, Raipur, Chhattisgarh, India

Volunteer at Entrepreneurship Cell, NIT Raipur, Sep 2018 \- Apr 2019 · 8 mos, Raipur, Chhattisgarh, India

## Education

B\.Tech \- Bachelor of Technology, Computer science and Engineering, National Institute of Technology Raipur

Intermediate, Maths, Physics, Chemistry, TTW IIT Study Centre

## Public links

- leetcode: https://leetcode\.com/Anand\_Nayak

[View the original profile](https://tal.club/meet/degavath-anand-nayak)

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