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Principal Software Engineer, Applied AI at Audere

Krishnam Gupta

I build AI that works in real health systems: smartphone computer vision that reads rapid diagnostic tests for malaria, HIV and COVID-19 offline on low-cost phones, and the clinical data extraction behind LLM health companions.

Portrait of Krishnam Gupta

Impact

2.5M+
rapid diagnostic tests used with HealthPulse
150,000+
people using Audere's LLM health companions
96.8%
agreement with an expert panel in an independent four-country evaluation

Independent evaluation

  • Lindblade et al., Malaria Journal, 2025: four-country evaluation of HealthPulse with no Audere authors; 96.8% agreement with an expert panel across 106,877 images.
  • Rwanda's Ministry of Health authorized HealthPulse AI for test interpretation in its community EMR (2024).

About

I am a Principal Software Engineer, Applied AI, at Audere, a Seattle global-health nonprofit, working remotely from San Francisco. I own the detection, localization and classification models in HealthPulse, a smartphone computer-vision system that reads rapid diagnostic tests offline on low-cost phones and is used alongside national health programmes in sub-Saharan Africa. I also designed the clinical data extraction and release testing for Audere's LLM health companions. Earlier I worked on medical imaging at Mfine, search ranking at Microsoft Bing, and robotics perception at IIIT Hyderabad.

Nine years in production AI across computer vision, LLMs and robotics. Five peer-reviewed papers, four as first author, and a sixth first-author paper accepted for publication and oral presentation at the Pacific Symposium on Biocomputing 2027. First-named inventor on a published US patent application. Reviewer for Nature Communications, JAMIA Open, JMIR AI and ML4H. M.S. by Research and B.Tech (Honours) in Computer Science, IIIT Hyderabad.

  • Computer Vision
  • Medical and Diagnostic Imaging AI
  • On-Device and Edge AI
  • LLM Evaluation and Release Testing
  • Robotics Perception
  • AI for Global Health

Experience

Audere

2022 - Present

Principal Software Engineer, Applied AI (April 2026 to present); Senior Software Engineer (May 2022 to March 2026)

Seattle, WA, remote from San Francisco

  • Helped unify HealthPulse's per-product models into one lightweight computer-vision pipeline that reads multiple rapid-test products and diseases from a single system; HealthPulse has been used with 2.5M+ rapid diagnostic tests for malaria, HIV and COVID-19 on low-cost phones
  • Owned the detection, localization and classification stages of the interpretation models, and optimized them for constrained devices through regression testing, model-size and latency work
  • Architected a generalized pathway for previously unseen test products, and designed the routing that sends each image to a fine-tuned or generalized model
  • HealthPulse was independently evaluated at 96.8% agreement with an expert panel across 106,877 images in four countries (Lindblade et al., Malaria Journal, 2025)
  • Architected the structured-data-extraction system that turns free-form health conversations into clinical records for LLM health companions used by 150,000+ people, and designed its scenario-based release-testing methodology (PSB 2027, first author)
  • Mentors computer-vision engineers

Mfine

2019 - 2022

Data Scientist

Bangalore, India

  • Led the computer-vision workstream and supervised imaging projects at an AI-first telehealth startup
  • Principal investigator on a dermatology study; first author of the resulting IEEE ICPR 2020 paper on skin disease recognition in consumer-grade images
  • First-named inventor on US patent application US20220084677A1 (AI-assisted differential diagnosis)
  • Led computer-vision work for Mfine Pulse, a smartphone oxygen-saturation product

Microsoft, Bing Local Search

2017 - 2019

Research Engineer

Hyderabad, India

  • Built search relevance and ranking models at web scale

Publications & Patents

Peer-reviewed and accepted papers are listed before preprints and workshop papers. Author role and paper format are shown on each entry.

Healthcare AI

Robotics & Vision

Research influence

  • MergeNet (IEEE ICRA 2018), my most-cited paper: used by patent examiners in Korea and Japan as grounds to reject another company's patent claims, and cited in granted Bosch and NVIDIA patents.
  • Dual stream skin disease recognition (IEEE ICPR 2020): used by Alibaba DAMO Academy as a named baseline (MICCAI 2023).

Patents

Talks & Presentations

  • Upcoming: Pacific Symposium on Biocomputing 2027, Hawaii, oral presentation (January 2027)
  • T.H.I.N.K. AI Healthcare Conference, Stanford, 2026: two posters on clinical AI quality assurance
  • IEEE CAI 2023, Santa Clara: presented "Transforming Rapid Diagnostic Tests into Trusted Diagnostic Tools in LMIC using AI" in person, healthcare poster session
  • IEEE ICRA 2018, Brisbane: presented MergeNet as a poster

Peer review: 40+ completed reviews, 2020 to 2026

  • Journals: Nature Communications, JAMIA Open, JMIR AI, JMIR Formative Research
  • Machine Learning for Health (ML4H) 2026 Symposium
  • International Conference on AI in Healthcare (AIiH) 2026
  • International Conference on Sustainable AI for Social Impact and Global Development (SASIGD) 2026
  • NeurIPS 2026 workshops: GlobalSouthAI, Med-Reasoner
  • ICML 2026 workshops: SD4H, GlobalSouthML, AI4GOOD
  • MICCAI 2026 workshops: UNSURE, GRAIL
  • IJCAI-ECAI 2026 workshop: GlobalSouthAI
  • CADL workshop at ICPR 2020

Recognition

  • Finalist, Aegis Graham Bell Awards, Innovation in Diagnostics (Mfine Pulse)
  • Dean's List (Monsoon 2012) and Merit List (Monsoon 2014), IIIT Hyderabad

Contact

Open to conversations about applied AI, health technology, research collaborations, and new roles. Based in San Francisco, CA.