{
  "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json",
  "basics": {
    "name": "Bhimesh Chauhan",
    "label": "Lead AI Platform Engineer",
    "image": "https://bhimeshchauhan.github.io/me.jpg",
    "email": "bhimeshchauhan@gmail.com",
    "url": "https://bhimeshchauhan.github.io/",
    "location": { "countryCode": "CA" },
    "summary": "Based in Canada: permanent resident, authorized to work in Canada for any employer, no sponsorship needed. Lead AI platform engineer (10+ years of production software) operating at staff scope, with experience embedded with customer teams. Builds and runs production RAG and LLM systems end to end, from retrieval architecture to launch-day reliability, and leads teams of 4-5 engineers and designers. Roles of interest: forward deployed engineer, staff / principal AI platform engineer, lead / founding engineer.",
    "profiles": [
      {
        "network": "LinkedIn",
        "username": "bhimeshchauhan",
        "url": "https://www.linkedin.com/in/bhimeshchauhan"
      },
      {
        "network": "GitHub",
        "username": "bhimeshchauhan",
        "url": "https://github.com/bhimeshchauhan"
      }
    ]
  },
  "work": [
    {
      "name": "Rare Days",
      "position": "Lead Software Engineer",
      "startDate": "2026-01",
      "summary": "Architected and built a multi-tenant SaaS platform with a production RAG chatbot, owning the system from retrieval architecture through backend delivery and reliable releases.",
      "highlights": [
        "Led Ask Kindred from SDK integration through production, serving approximately 200 daily active users across three customer companies with grounded retrieval, citations, conversation history and feedback.",
        "Led engineering for the Jefferson Fisher launch platform: about $700K USD in total sales in under 48 hours.",
        "Designed the multi-tenant SaaS architecture, including backend infrastructure and role-aware access controls.",
        "Delivered 10+ CI improvements that strengthened release quality and platform reliability.",
        "Mentored a junior engineer and created reusable AI capabilities for other Rare Days projects."
      ]
    },
    {
      "name": "Scrubs Co-Pilot",
      "position": "Founder and CTO",
      "url": "https://scrubscopilot.com/",
      "startDate": "2025-08",
      "endDate": "2025-12",
      "summary": "Founded and led all engineering for an ambient clinical AI platform that structures doctor-patient conversations into medical documentation.",
      "highlights": [
        "Architected LLM and RAG workflows for real-time transcription and structured note generation, reducing clinician documentation time by about 80%.",
        "Set the technical roadmap from MVP through production, balancing clinical workflow quality, security and reliability.",
        "Worked with clinicians to validate outputs and guide the evolution of the AI system.",
        "Led a team of 4-5 engineers and designers."
      ]
    },
    {
      "name": "BenchSci",
      "position": "Lead AI and Full-Stack Engineer",
      "url": "https://www.benchsci.com/",
      "startDate": "2025-04",
      "endDate": "2025-08",
      "summary": "Led AI data-platform engineering for biomedical research workflows.",
      "highlights": [
        "Built AI-driven pipelines processing 100K+ research artifacts into structured datasets.",
        "Reduced manual data curation by about 60% by standardizing AI-assisted extraction and validation.",
        "Designed RAG workflows for literature synthesis and discovery; developed Neo4j and PostgreSQL query paths.",
        "Established data reliability, lineage and auditability practices across engineering, science and ML teams."
      ]
    },
    {
      "name": "MicroMart",
      "position": "Senior Full-Stack Software Engineer",
      "url": "https://www.kitchenmate.com/",
      "startDate": "2023-06",
      "endDate": "2025-04",
      "summary": "Built and operated distributed software for smart food kiosks.",
      "highlights": [
        "Improved customer engagement by 20% and satisfaction by 15%, and reduced downtime by 30%.",
        "Implemented Modbus RS485 integrations in Python and Node.js connecting cloud services to embedded hardware.",
        "Improved database query performance by about 25% and reduced bug reports by about 40%.",
        "Delivered production payment workflows and supported payment-certification work."
      ]
    },
    {
      "name": "Preply",
      "position": "Senior Full-Stack Software Engineer",
      "url": "https://www.preply.com/",
      "startDate": "2020-10",
      "endDate": "2023-06",
      "summary": "Built personalization and analytics capabilities for a global language-learning marketplace serving 80K+ learners.",
      "highlights": [
        "Led a cross-functional team delivering student progress-tracking and feedback for 80K learners.",
        "Built NLP-driven personalization that increased engagement by 20% and satisfaction by 15%.",
        "Ran tests and product analysis across markets contributing to a sustained 5% increase in conversion."
      ]
    },
    {
      "name": "DataRobot",
      "position": "Full-Stack Software Engineer",
      "url": "https://www.datarobot.com/",
      "startDate": "2019-07",
      "endDate": "2020-05",
      "summary": "Built enterprise integrations connecting AutoML workflows to customer data and analytics tools.",
      "highlights": [
        "Integrated DataRobot with Excel, Snowflake, Tableau and Alteryx, increasing partner visibility by 70%.",
        "Built custom Jenkins and Kibana CI/CD tooling for repeatable ML-backed releases."
      ]
    },
    {
      "name": "Pitchly",
      "position": "Full-Stack Software Developer",
      "url": "https://www.pitchly.com/",
      "startDate": "2018-07",
      "endDate": "2019-07",
      "summary": "Built SaaS applications for financial and legal teams.",
      "highlights": [
        "Built Node.js REST APIs for high-throughput client workflows adhering to OWASP and HIPAA requirements.",
        "Developed two GraphQL-powered MeteorJS applications."
      ]
    },
    {
      "name": "Nebullam",
      "position": "Android Software Developer and Data Scientist",
      "url": "https://www.nebullam.com/",
      "startDate": "2017-05",
      "endDate": "2019-08",
      "summary": "Built software for connected aeroponics systems.",
      "highlights": [
        "Built an Android application to monitor and control aeroponics firmware through MQTT.",
        "Developed PyTorch and TensorFlow models for resource prediction, increasing crop yield by 20%."
      ]
    }
  ],
  "education": [
    {
      "institution": "Iowa State University",
      "area": "Electrical Engineering",
      "studyType": "Bachelor",
      "startDate": "2014",
      "endDate": "2018"
    }
  ],
  "projects": [
    {
      "name": "Jefferson Fisher launch platform",
      "description": "Checkout, entitlements and course delivery for a client launch: about $700K USD in total sales in under 48 hours.",
      "url": "https://bhimeshchauhan.github.io/case-studies/jefferson-fisher/"
    },
    {
      "name": "Ask Kindred",
      "description": "Production RAG assistant serving about 200 daily active users across three customer companies.",
      "url": "https://bhimeshchauhan.github.io/case-studies/ask-kindred/"
    },
    {
      "name": "Scrubs Co-Pilot",
      "description": "Ambient clinical AI platform; about 80% less clinician documentation time.",
      "url": "https://bhimeshchauhan.github.io/case-studies/scrubs-copilot/"
    },
    {
      "name": "Wrangle",
      "description": "Mobile and platform engineering: 1,000+ automated tests, 46 migrations, 3 automated deploy pipelines.",
      "url": "https://bhimeshchauhan.github.io/case-studies/wrangle/"
    },
    {
      "name": "RAG Portfolio Assistant",
      "description": "Grounded assistant live on this site.",
      "url": "https://bhimeshchauhan.github.io/case-studies/rag-portfolio-assistant/"
    },
    {
      "name": "PDF-to-Audiobook",
      "description": "NLP and TTS pipeline with NER, coreference and speaker attribution.",
      "url": "https://bhimeshchauhan.github.io/case-studies/pdf-to-audiobook/"
    }
  ],
  "skills": [
    {
      "name": "AI and RAG systems",
      "keywords": [
        "Retrieval-Augmented Generation",
        "OpenAI API",
        "pgvector",
        "Whisper",
        "AI data pipelines",
        "LangChain"
      ]
    },
    {
      "name": "Application engineering",
      "keywords": [
        "TypeScript",
        "JavaScript",
        "Python",
        "React",
        "Next.js",
        "Node.js",
        "NestJS",
        "Django",
        "Flask"
      ]
    },
    {
      "name": "Data and APIs",
      "keywords": [
        "PostgreSQL",
        "Neo4j",
        "GraphQL",
        "REST APIs",
        "WebSockets",
        "Redis",
        "MongoDB"
      ]
    },
    {
      "name": "Platform and delivery",
      "keywords": [
        "AWS",
        "Docker",
        "CI/CD",
        "Sentry",
        "Supabase",
        "Stripe"
      ]
    }
  ],
  "languages": [
    {
      "language": "English"
    },
    {
      "language": "Hindi"
    },
    {
      "language": "Bengali"
    }
  ]
}
