Shruthi Akkal

Senior Software Engineer

Bengaluru, Karnataka, India7 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Designed secure element lifecycle management systems.
Developed real-time patient monitoring solutions.
Achieved high accuracy in health algorithms.

Stackforce AI infers this person is a Backend-focused Software Engineer specializing in Fintech and Healthcare technologies.

Contact

shruthi@conzumex.com LinkedIn

Skills

Core Skills

Backend DevelopmentPayments TechnologyHealthcare TechnologyMedical ImagingData AnalysisEnvironmental Science

Other Skills

AWSAWS LambdaAmazon EC2Amazon Relational Database Service (RDS)Amazon Route 53Amazon S3Cloud frontContainerizationDocument DBFGI guidelinesFirebaseGeos-ChemGo (Programming Language)HYDRA clusterHigh Performance Computing (HPC)

About

Senior Software Engineer | Innovation For the past 6+ years, I’ve worked on the hardest parts of the device-to-cloud stack: secure element lifecycle, payments provisioning, and backend systems that are built to scale and stay reliable. A few things I’m proud of: Built from zero: Designed and implemented SEI-TSM / SP-TSM systems for payment wearables, owning secure element lifecycle management and Mastercard/NPCI provisioning. Scaled wellness platforms: Architected backend services supporting 10,000+ users, with a focus on performance, observability, and reliability. Most of my work lives in the backend layer: Node.js (Express)/TypeScript + Python (Flask), designing APIs that are idempotent, retry-safe, and production-friendly (webhooks, async workflows, observability, failure handling). On the infrastructure side I’m comfortable with AWS (ECS/Lambda/EC2/S3), and I’ve also worked closely with Java/Android. I enjoy figuring out what matters, and turning messy requirements into clean systems. My experience across Payments (PCI DSS) and Healthcare shapes how I build: secure by default, compliant when needed, and always user-first. https://github.com/shruthiakkal https://medium.com/@samakkal

Experience

Muse wearables

3 roles

Senior Software Engineer [Backend] - Payments in Wearables

Promoted

May 2022 – Present · 3 yrs 10 mos

Payments: Built SEI-TSM: SE tokenization and provisioning on Ring One, with NPCI and Mastercard TSP
Fitness stack: Ring One - Handled production of Muse app for the Ring One.
Fitness stack: Handled production of Muse app for the Muse Modernist watches

PaymentsSecure element lifecycle managementNode.jsPythonAWSBackend Development+1

Software Product Developer - Fitness stack in wearables

Promoted

Apr 2020 – May 2022 · 2 yrs 1 mo

Respiration rate detection algorithm: Built and deployed a Respiration rate detection algorithm in Python from PPG signal. The algorithm achieved an accuracy of +-1.5 breath per minute (bpm) in the normal range. Range of prediction 10 - 40 bpm.
Central healthcare monitoring system: Worked with PM and developers in developing a centralized health monitoring system using Nodejs, MongoDB, Firebase and Twilio APIs. This system is used to monitor the vitals of the patients in real-time and has been deployed in 3 hospitals.
https://in.musewearables.com/pages/musecue
Patient health status and Alerts: Responsible for the development and deployment of patient health status logic and alert system in the Central Monitoring System using Python, MongoDB, Twilio APIs and Firebase.
Analysis: Conducted statistical analysis on de-identified patient data. The purpose of this study was to validate and improve existing health algorithms. Validation was done for heart rate and SpO2 and Respiration rate algorithms were modified.
Health Status for app users: Responsible for developing and deploying Health Status feature in Muse health app using Python(Flask). Created logic to analyze user’s vitals (heart rate, respiration rate, SpO2, body temperature and heart rate variability) to create individualized baseline values and track user’s health by checking variation from the baselines.

PythonNode.jsMongoDBFirebaseTwilio APIsBackend Development+1

Python Developer

Sep 2019 – Mar 2020 · 6 mos

Aiims (all india institute of medical sciences, new delhi)

Junior Research Fellow

Feb 2019 – Sep 2019 · 7 mos · New Delhi Area, India

Project: Minimal Residual Disease Estimation in Multiple Myeloma using Image Processing
Advisor: Dr Ritu Gupta, Laboratory Oncology Unit
Aimed at the development of a computerized image analysis software for the classification of neoplastic plasma cells (PC) and normal PC for estimating minimal residual disease (MRD) in multiple myeloma (MM).
Work Done:
Extract image features that can differentiate neoplastic plasma cells (PC)

Indian institute of technology, madras

Project Associate

Dec 2017 – Jan 2019 · 1 yr 1 mo · Chennai Area, India

Advisor: Dr Sachin S Gunthe
Data Analysis and Modeling: Worked on Geos-Chem chemical transport model for computing the radiative forcing over India resulting from the rural domestic solid biomass burning aerosols. Simulated Geos-Chem test runs on a Linux environment. Using HYDRA cluster to simulate and enhance model performance.
Assisted in the Estimation and characterization of anthropogenic bioaerosols using Andersen impactor.

Data analysisGeos-ChemLinuxHYDRA clusterData Analysis