Smartly Labs
Learning infrastructure for AI that captures deployment signals, human judgment and outcomes to improve what ships next.
Every deployment produces failures, corrections and preferences. Almost none of it makes the next deployment smarter.
Enterprises don't need to rebuild on Smartly. They connect what they already have.
Built from real production learning.
Smartly is working with teams turning production feedback into measurable improvements.
Smartly brings together infrastructure engineers, AI researchers, and operator-builders because deployment learning requires expertise across production systems, human evaluation, and distributed AI.
Smartly Labs is being shaped by a distributed cohort of researchers, infrastructure engineers, open-source contributors, and AI systems builders focused on helping AI products learn from real-world deployment.
Most members have spent years building production systems across AI, distributed infrastructure, cybersecurity, cloud systems, orchestration frameworks, and real-world deployment environments.
Founding Director of GirlScript Foundation, where her initiatives have reached more than 1,000,000 learners globally — recognized among the Top 2 Upskill & Reskill Programs worldwide by Women Tech Network (USA).
Featured in Forbes Asia 30 Under 30 (Social Entrepreneurs). Has spoken at TEDx, GITEX Dubai, TiECON Silicon Valley, PyCon US, and Microsoft Build.
Forbes Asia 30U30GirlScript FoundationGlobal EcosystemsDeployment Infrastructure
Co-Founder at Smartly Ventures and Head of Operations at GirlScript Foundation, focused on scaling operational systems, deployment workflows, contributor infrastructure, and execution environments.
Previously worked across Web3 infrastructure, developer tooling, and production engineering systems through Web3Conf India, Dehidden, and HCL Technologies.
GirlScript FoundationWeb3Conf IndiaOperations InfrastructureDeployment Systems
AI systems engineer focused on cybersecurity, quantum machine learning, and production infrastructure. Published multiple research papers across dark web intelligence, quantum transfer learning, and AI systems.
Recognized among the top 1% engineers at Oracle through the Pace Setter Award. Built and deployed systems recognized by Mumbai Police and multiple national technology competitions.
OracleQuantum MLCybersecurityProduction SystemsResearch
Backend and AI systems engineer focused on production infrastructure, cloud systems, payments, and distributed networking. Led backend and cloud engineering across AI SaaS systems, automation pipelines, database migrations, and production deployments.
Contributor to Protocol Labs' py-libp2p networking ecosystem and multiple open-source infrastructure systems.
Cloud InfrastructureDistributed SystemsProtocol LabsBackendOSS
Infrastructure and autonomous systems engineer focused on distributed AI systems, orchestration infrastructure, edge AI, low-latency systems, and production deployment.
Built multi-agent research systems, enterprise AI voice infrastructure, semantic orchestration frameworks, edge AI systems, and low-latency trading infrastructure. Contributor across Protocol Labs ecosystem.
Multi-agent SystemsEdge AIProtocol LabsOSSLow-latency Infra
Full-stack engineer building at the intersection of agentic AI systems, Web3 infrastructure, and decentralized P2P networks. Protocol Labs Dev Guild contributor across 5 consecutive cohorts (PLDG 2–6). Maintainer at Storacha, building MCP-integrated and LLM-powered agentic tools.
4× hackathon award winner — Rachax402 ($504, PLDG Frontiers), GhostLock ($750, Dcipher Loops Hacker House), LLMesh (3rd, Protocol Labs × AI Hackathon). Published author. 4 research works.
Protocol Labs PLDG 2–6StorachaAgentic SystemsWeb3 InfraP2P Networks
AI doesn't get better
by shipping alone.
It gets better through the people
who use it, correct it, and push it further.