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.

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 - PresentPrincipal 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 - 2022Data 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 - 2019Research 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
A Deployed Framework for Structured Clinical Extraction from Multi-Turn Health Conversations: From Model Selection to Scenario-Based Release Gating
Pacific Symposium on Biocomputing (PSB) 2027
- Accepted for publication and oral presentation
- First author
- Corresponding author
Transforming Rapid Diagnostic Tests into Trusted Diagnostic Tools in LMIC using AI
IEEE Conference on Artificial Intelligence (CAI) 2023
- Peer-reviewed
- First author
- Poster paper
Dual Stream Network with Selective Optimization for Skin Disease Recognition in Consumer Grade Images
IEEE ICPR 2020
- Peer-reviewed
- First author
Aimee, an AI-powered HIV prevention and sexual and reproductive health intervention for adolescent girls and young women in South Africa: Design, pilot study methods, and feasibility
VeriXiv 2026
- Preprint
- Co-author
- Awaiting peer review
Task-Specific Computer Vision Versus Large Multi-Modal Models for Diagnostic Test Interpretation
VeriXiv 2025
- Preprint
- Co-author
HealthPulse AI: Enhancing Diagnostic Trust and Accessibility in Under-Resourced Settings
VeriXiv 2025
- Preprint
- Co-author
Robotics & Vision
MergeNet: A Deep Net Architecture for Small Obstacle Discovery
IEEE ICRA 2018
- Peer-reviewed
- First author
Small Obstacle Detection using Stereo Vision for Autonomous Ground Vehicle
ACM AIR 2017
- Peer-reviewed
- First author
Mobile Robot Navigation Amidst Humans with Intents and Uncertainties: A Time Scaled Collision Cone Approach
IEEE CDC 2015
- Peer-reviewed
- Co-author
How VLAs Fail Differently: Black-Box Action Monitoring Reveals Architecture-Specific Failure Signatures
ICRA 2026 workshop, From Data to Decisions
- Workshop paper, non-archival
- Sole author
- Poster
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).
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.