---
title: "Aswin Jose - Machine Learning Engineer in Greater Bengaluru Area | Tal"
description: "Meet Aswin Jose, Machine Learning Engineer | Production ML Systems | Backend Engineering | Healthcare AI based in Greater Bengaluru Area. AI stack includes claude and claudecode. Explore public work links including github."
image: "https://tal.club/meet/aswin-jose/share-image"
---

# Aswin Jose on Tal

## Headline

Machine Learning Engineer \| Production ML Systems \| Backend Engineering \| Healthcare AI

## About

I am a Machine Learning Engineer with over 5 years of experience in AI/ML research and engineering, including 2 years of full\-time industry experience\. My expertise lies in building production ML systems, healthcare AI platforms, and scalable AI infrastructure\. I have a strong background in end\-to\-end AI product engineering, covering everything from opportunity identification to scaling successful concepts into reliable production systems\. Throughout my career, I have developed a deep understanding of production machine learning and AI systems, focusing on model optimization, inference acceleration, and deployment of intelligent applications\. I have successfully led initiatives that integrate human\-in\-the\-loop AI systems and have contributed to multiple healthcare ML publications, achieving over 80% accuracy\(w\.r\.t benchmarks established in clinical environments\) in real\-world validation environments\. My technical skills encompass a wide range of programming languages and backend systems, enabling me to design high\-throughput services and real\-time streaming systems\. Key achievements include owning the ML audio analysis engine for a smartphone\-based cardiac screening platform, leading the redesign of legacy ML workflows, and driving continuous improvements in model evaluation and performance optimization\. I am passionate about leveraging AI to create impactful solutions in healthcare and beyond\.

## Location

Greater Bengaluru Area

## AI stack

claude

claudecode

## Work experience

Machine Learning Engineer at Sonus Health, Mar 2025 \- Present · 1 yr 6 mos, London, England, United Kingdom, I own the end\-to\-end ML audio analysis engine for a smartphone\-based cardiac screening platform, overseeing model architecture, service design, deployment, and production monitoring\. I lead the modernization of legacy ML workflows into a scalable architecture for heart murmur detection using smartphone audio\. My role involves building a robust ML quality framework to ensure reliable predictions and designing production\-grade LLM orchestration workflows for clinical reporting\. I also spearhead ML engineering initiatives for innovative healthcare projects, achieving significant accuracy in vital sign extraction\. Achievements: Successfully led the redesign of ML workflows, enhancing the reliability of predictions through a comprehensive quality framework\. Achieved over 80% accuracy in healthcare AI initiatives w\.r\.t clinical standards, demonstrating my ability to drive impactful results in real\-world applications\.

Machine Learning Engineer at Decorte Future Industries, Mar 2025 \- Present · 1 yr 6 mos, London, England, United Kingdom, I own the end\-to\-end ML audio analysis engine for a smartphone\-based cardiac screening platform, overseeing model architecture, service design, deployment, and production monitoring\. I lead the modernization of legacy ML workflows into a scalable architecture for heart murmur detection using smartphone audio\. My role involves building a robust ML quality framework to ensure reliable predictions and designing production\-grade LLM orchestration workflows for clinical reporting\. I also spearhead ML engineering initiatives for innovative healthcare projects, achieving significant accuracy in vital sign extraction\. Achievements: Successfully led the redesign of ML workflows, enhancing the reliability of predictions through a comprehensive quality framework\. Achieved over 80% accuracy in healthcare AI initiatives w\.r\.t clinical standards, demonstrating my ability to drive impactful results in real\-world applications\.

SDE at Couture\.ai, Jun 2024 \- Mar 2025 · 10 mos, Bengaluru, Karnataka, India, architected and developed a high\-throughput asynchronous search service for an e\-commerce platform serving 1M daily active users\. My responsibilities included engineering an end\-to\-end Retrieval\-Augmented Generation \(RAG\) pipeline and optimizing inference workflows to improve latency and scalability\. I managed deployment and performance tuning across distributed services and collaborated with client engineering teams to enhance AI\-driven search performance\. Achievements: Successfully implemented asynchronous service architectures, significantly improving throughput and operational efficiency while ensuring low\-latency performance for a large\-scale e\-commerce platform\.

Teaching Assistant at IIIT Hyderabad, Aug 2022 \- Dec 2022 · 5 mos, Hyderabad, Telangana, India, Teaching Assistant for the course Mathematical Models in Biology

Teaching Assistant at IIIT Hyderabad, Apr 2022 \- Jul 2022 · 4 mos, Hyderabad, Telangana, India, Teaching assistant of the course Computer systems organization

Undergraduate Researcher at Centre for Computational Natural & Social Biology \(CCNSB\), IIIT Hyderabad, May 2021 \- Jun 2024 · 3 yrs 2 mos, Hyderabad, Telangana, India, I developed machine learning pipelines for patient survival prediction using multi\-omics datasets, applying advanced deep learning techniques\. My research contributed to peer\-reviewed publications in computational biology and machine learning applications, focusing on cancer genomics\. Achievements: Contributed to multiple research publications, enhancing the understanding of machine learning applications in healthcare and achieving recognition for my work in the field\.

## Education

BTech, MS integrated course, Btech in Computer Science, MS in Computational Natural Sciences, International Institute of Information Technology Hyderabad \(IIITH\)

Higher secondary, PCM, St Antony's Public School

## Public links

- github: https://github\.com/meagoodboy

[View the original profile](https://tal.club/meet/aswin-jose)

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