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.