From public sources — last updated March 2026
This data is also embedded in the page <head> as <script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Person",
"name": "Sudarshan Nambiar",
"url": "https://sudarshannambiar.com",
"email": "sdrshnnmbr@gmail.com",
"sameAs": [
"https://github.com/sdrshn-nmbr",
"https://linkedin.com/in/sudarshan-nambiar",
"https://conway.ai",
"https://huggingface.co/sdrshn-nmbr",
"https://scholar.google.com/citations?user=EbAK8dUAAAAJ",
"https://theorg.com/org/conway-1/org-chart/sudarshan-nambiar",
"https://twitter.com/sdrshn_nmbr"
],
"jobTitle": "Co-Founder & CEO",
"worksFor": {
"@type": "Organization",
"name": "Conway",
"url": "https://conway.ai"
},
"alumniOf": [
{
"@type": "EducationalOrganization",
"name": "Purdue University",
"degree": "BS Computer Engineering",
"focus": "AI & distributed systems",
"_verificationStatus": "public",
"_confidence": 0.95
}
],
"hasOccupation": [
{
"@type": "Role",
"roleName": "Co-Founder & CEO",
"startDate": "2025",
"endDate": null,
"organization": {
"@type": "Organization",
"name": "Conway",
"url": "https://conway.ai",
"description": "Vertically integrated detection, investigation, and decisioning systems for fintechs",
"location": "Jackson Square, San Francisco",
"numberOfEmployees": 5,
"tagline": "In the Business of Selling Discoveries."
},
"_whatTheyBuilt": "Enterprise compliance automation platform with self-improving feedback loops for fraud detection, AML, and content moderation",
"_techStack": [
"AI/ML",
"Automation",
"Python"
],
"_funding": "$7M seed -- Kleiner Perkins, First Round Capital (announced Jan 12, 2026)",
"_team": [
"Anne Brandes (Founder)",
"Sudarshan Nambiar (Co-Founder & CEO)",
"Rohan Ojha",
"Yogev Angelovici",
"Nahom Seyoum"
],
"_customers": "Neobanks to card processors",
"_outcome": "Active",
"_verificationStatus": "public",
"_confidence": 0.97,
"_gaps": [
"Revenue and customer count unknown",
"Specific technical architecture not publicly documented"
]
},
{
"@type": "Role",
"roleName": "Intern",
"startDate": "2025-05",
"endDate": "2025-06",
"organization": {
"@type": "Organization",
"name": "Meta",
"location": "Menlo Park"
},
"_duration": "~1 month",
"_verificationStatus": "self-reported",
"_confidence": 0.8,
"_gaps": [
"Team and project unknown"
]
},
{
"@type": "Role",
"roleName": "Intern",
"startDate": "2025-01",
"endDate": "2025-05",
"organization": {
"@type": "Organization",
"name": "Anon",
"url": "https://anon.com",
"description": "AI agent authentication startup"
},
"_duration": "4 months",
"_verificationStatus": "self-reported",
"_confidence": 0.85
},
{
"@type": "Role",
"roleName": "Engineer",
"organization": {
"@type": "Organization",
"name": "SignalOps"
},
"_verificationStatus": "self-reported",
"_confidence": 0.7,
"_gaps": [
"Dates unknown",
"Role details unknown"
]
},
{
"@type": "Role",
"roleName": "Engineer",
"organization": {
"@type": "Organization",
"name": "ECELabs"
},
"_verificationStatus": "self-reported",
"_confidence": 0.7,
"_gaps": [
"Dates unknown",
"Role details unknown"
]
},
{
"@type": "Role",
"roleName": "Research Assistant",
"organization": {
"@type": "Organization",
"name": "Purdue SERIS Research Group",
"description": "ML model security research"
},
"_whatTheyBuilt": "Research on securing DNNs on edge devices from membership inference attacks using TEEs",
"_publication": "ACM/IEEE ISLPED 2024",
"_verificationStatus": "public",
"_confidence": 0.95
},
{
"@type": "Role",
"roleName": "Teaching Assistant",
"organization": {
"@type": "Organization",
"name": "Purdue University, ECE Department"
},
"_courses": [
"Data Structures & Algorithms",
"Advanced C Programming"
],
"_verificationStatus": "self-reported",
"_confidence": 0.85
}
],
"knowsAbout": [
{
"skill": "AI/Machine Learning",
"type": "domain",
"_confidence": 0.95,
"_evidence": "SERIS research, Conway ML-based automation, GPT-2 implementation, ISLPED publication, Hugging Face presence"
},
{
"skill": "ML Security / Trusted Execution Environments",
"type": "domain",
"_confidence": 0.9,
"_evidence": "Published paper on securing DNNs from membership inference attacks using TEEs at ACM/IEEE ISLPED 2024"
},
{
"skill": "Fraud Detection / AML / Compliance",
"type": "domain",
"_confidence": 0.9,
"_evidence": "Conway's core product handles fraud detection, AML, and content moderation for fintechs"
},
{
"skill": "Go",
"type": "technology",
"_confidence": 0.85,
"_evidence": "bulletant (TigerBeetle-inspired KV vector DB) written in Go"
},
{
"skill": "Python",
"type": "technology",
"_confidence": 0.9,
"_evidence": "GitHub projects (gpt-2.x, Agenta, Django projects), Conway engineering repos"
},
{
"skill": "C/C++",
"type": "technology",
"_confidence": 0.85,
"_evidence": "TA for Advanced C Programming, btreedotcee B-tree implementation"
},
{
"skill": "Distributed Systems",
"type": "domain",
"_confidence": 0.8,
"_evidence": "Purdue focus area, bulletant DB project inspired by TigerBeetle"
},
{
"skill": "Reinforcement Learning",
"type": "domain",
"_confidence": 0.75,
"_evidence": "Dedicated reinforcement learning repository on GitHub"
}
],
"memberOf": [
{
"name": "Neo Scholars Finalist",
"startDate": "2024-08",
"_verificationStatus": "self-reported"
},
{
"name": "Catapult Hackathon Judge (Purdue)",
"startDate": "2025-04",
"_verificationStatus": "public"
}
],
"_projects": [
{
"name": "Conway",
"type": "product",
"url": "https://conway.ai",
"description": "Fraud detection, AML, and content moderation automation for fintechs ($7M seed)",
"status": "active"
},
{
"name": "bulletant",
"type": "open-source",
"url": "https://github.com/sdrshn-nmbr",
"description": "TigerBeetle-inspired KV vector database in Go",
"status": "unknown"
},
{
"name": "Outlify",
"type": "product",
"url": "https://github.com/sdrshn-nmbr",
"description": "Fashion app",
"status": "unknown"
},
{
"name": "Agenta",
"type": "open-source",
"url": "https://github.com/sdrshn-nmbr",
"description": "Agentic CLI tool",
"status": "unknown"
},
{
"name": "gpt-2.x",
"type": "open-source",
"url": "https://github.com/sdrshn-nmbr",
"description": "GPT-2 implementation",
"status": "unknown"
},
{
"name": "STM-Snake",
"type": "experiment",
"url": "https://github.com/sdrshn-nmbr",
"description": "Snake game using short-term memory concepts",
"status": "unknown"
},
{
"name": "btreedotcee",
"type": "open-source",
"url": "https://github.com/sdrshn-nmbr",
"description": "B-tree implementation in C",
"status": "unknown"
},
{
"name": "Djitter",
"type": "experiment",
"url": "https://github.com/sdrshn-nmbr",
"description": "Twitter clone built with Django",
"status": "unknown"
},
{
"name": "Reinforcement-Learning",
"type": "research",
"url": "https://github.com/sdrshn-nmbr",
"description": "Reinforcement learning experiments",
"status": "unknown"
}
],
"_openSourceContributions": [
{
"repo": "conway-engineering/claude-agent-sdk-python",
"description": "Conway's internal Claude agent SDK"
},
{
"repo": "conway-engineering/supabase-pydantic",
"description": "Supabase Pydantic integration"
},
{
"repo": "charmbracelet/glow",
"description": "Terminal-based Markdown renderer"
},
{
"repo": "excalidraw/excalidraw-mcp",
"description": "Excalidraw MCP server"
},
{
"repo": "tambo-ai/tambo",
"description": "Tambo AI framework"
},
{
"repo": "gitbutlerapp/gitbutler",
"description": "GitButler version control client"
}
],
"_dataQuality": {
"sourcesConsulted": 14,
"sourceList": [
"sudarshannambiar.com",
"LinkedIn",
"GitHub (sdrshn-nmbr, 33 repos)",
"Conway website",
"Conway seed announcement blog",
"Kleiner Perkins portfolio",
"First Round Capital",
"The Org (Conway org chart)",
"Purdue SERIS",
"Google Scholar",
"Hugging Face (sdrshn-nmbr)",
"ACM/IEEE ISLPED 2024 proceedings",
"Purdue ECE Catapult Hackathon",
"Neo Scholars"
],
"lastUpdated": "2026-03",
"overallConfidence": {
"identity": "HIGH",
"education": "HIGH",
"careerTimeline": "HIGH",
"technicalCapabilities": "HIGH",
"currentWorkDetail": "HIGH"
},
"gaps": [
"Graduation year from Purdue",
"Specific contributions at Meta internship",
"Conway revenue and customer base details",
"SignalOps and ECELabs role details and dates",
"Specific Anon internship contributions"
],
"recommendation": "Conway's growth metrics and customer testimonials would further strengthen this profile. Purdue graduation year would complete education timeline."
}
}