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