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Ayush kumar

Lead Agentic AI Architect | AI Security | AI Researcher | Building Autonomous Agentic SOC | Pioneered SuperAGI | Ex-Research and Development Intern @ Samsung | Ex-ML Algorithm Engineer

Greater Bengaluru Area

4+ years of work experience

Eli Lilly and Company
Mar 20251 yr 6 mosPresent

Bengaluru, Karnataka, India · Hybrid

I lead how our organization builds, secures, and adopts AI agents at enterprise scale, turning frontier AI into production systems that dozens of teams and thousands of employees rely on every day. • Architected and Built the company-wide standard for how AI agents securely connect to enterprise systems: a secure AI platform of 15+ connected services and 240+ tools (built on the Model Context Protocol) that every AI-to-system integration in the company now follows. • Designed and shipped a five-tier multi-agent AI system that autonomously handles 800+ operational tasks a month across 25 services, cutting average resolution time by 88% (from 45 minutes to 4). • Created the governance model for AI and non-human identities, defining how autonomous agents are trusted, permissioned, and contained so they can act at scale without becoming a security risk. • Built an AI-native quality and analytics platform behind VP and Director reporting that cut manual quality work by around 95% and restored accurate, trustworthy compliance visibility. • Established how every production AI agent is monitored, logged, and audited, with full decision replay so each autonomous action stays transparent and reviewable. • Drove the organization-wide rollout of enterprise Security first generative AI Standards, from deployment and security baselines to hands-on enablement, giving the whole company governed access to AI. • Recognized as the go-to person for agentic AI across security and engineering teams: I run knowledge and hands-on sessions, lead design reviews, and have helped 80+ engineers build with AI safely and confidently.
Eli Lilly and Company
May 202410 mosFeb 2025

Bengaluru, Karnataka, India · Hybrid

Built the automation and platform foundations that let security teams ship faster and more safely. • Led the organization-wide shift to Infrastructure-as-Code, automating how security platforms are configured and deployed and removing the conflicts that used to slow four teams down; presented to leadership and adopted company-wide. • Redesigned and automated data onboarding for the security operations center, replacing manual, ticket-driven work with a self-service, approval-based workflow. • Engineered 25+ complex data integrations and set the enterprise framework and quality bar that all later work followed, building the operational foundation for security analytics. • Established the team's engineering-experience practices: reusable building blocks, safety guardrails, and standardized templates that cut repetitive work and lifted reliability.
Eli Lilly and Company
Jul 202310 mosApr 2024

Bengaluru, Karnataka, India · Hybrid

Laid the data and visibility foundations for the security organization. • Built the company's enterprise security data lake from the ground up, unifying 50M+ data points from across the business into a single source of truth for security analytics. • Rebuilt the core security logging pipeline end-to-end, delivering 31 high-priority data onboardings for reliable, standardized data flow. • Shipped real-time security dashboards that gave operations teams and leadership live visibility and faster response.
SuperAGI
Apr 20234 mosJul 2023

Bengaluru, Karnataka, India

One of the earliest open-source frameworks for autonomous AI agents, built when the idea barely existed. • Pioneered and Envisioned SuperAGI as a founding engineer. It grew to 21,000+ GitHub stars and was adopted by 15,000+ developers worldwide. • Built the core agent orchestration engine, the reason-and-act loop that lets an agent take a goal, choose the right tool at each step, and work through multi-step tasks on its own. • Designed the tool-integration system that connects agents to external apps, APIs, and third-party services, and shaped it into a marketplace of capabilities developers could plug into their own agents. • Built the agent memory layer on top of multiple vector databases, so agents could store context, recall earlier steps, and improve with every run. • Engineered the backend that provisions, runs, and scales many autonomous agents at once, reliable enough for both local experimentation and production use. • Added performance monitoring and token-usage optimization, giving teams visibility into how agents behave and real control over cost. • Worked across the whole backend in a fast build, test, and ship cycle, and helped grow an active open-source community through documentation, examples, and hands-on contributor support. • Architected and shipped SuperCoder, an agentic coding tool used by 5,000+ developers. It was autonomous software development that predated and prefigured today's mainstream agentic coding tools like Claude Code, Codex, and Lovable.
Samsung Electronics
May 20217 mosNov 2021

Bengaluru, Karnataka, India

Worked on Development of Algorithm for the MEC Server Placement for 5g network in edge computing Developed the Algorithm and logic from scratch and implemented it
Harvard Project for Asian and International Relations (HPAIR)
Jan 202110 mosOct 2021

I'm delighted to have been selected among HPAIR Indian delegate and excited to learn and connect with the leaders of tomorrow. HPAIR is an internationally recognized student organization at Harvard College, offering a forum of exchange to facilitate discussion of the most important economic, political, and social issues relevant to the Asia-Pacific region.
BMSCE
Jul 202010 mosApr 2021

Bangalore Urban, Karnataka, India

Subsystem head of Attitude determination and control system of the Cubesat at BMSCE Satellite club i.e. BMSCE Upagraha

Ayush’s AI Stack

hugging face
hugging face
langchain
langchain
langfuse
langfuse
LlamaIndex
LlamaIndex
Promptfoo
Promptfoo
PydanticAI
PydanticAI

Education

B. M. S. College of Engineering

B.E, Electronics and instrumentation engineering

B. M. S. College of Engineering

20194 yrs2023

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Headline

Lead Agentic AI Architect | AI Security | AI Researcher | Building Autonomous Agentic SOC | Pioneered SuperAGI | Ex-Research and Development Intern @ Samsung | Ex-ML Algorithm Engineer

About

Lead Agentic AI Architect and Builder in Cybersecurity domain with 4+ Years of Experience. Most companies can build an AI agent. Far fewer can secure one, govern it, and ship it to production at enterprise scale. That gap is where I work. I architect agentic AI platforms, along with the security, identity, and governance that make them safe to run in production: systems that resolve hundreds of operational tasks a day, not slide-deck demos. I started on the building side. As a founding engineer at SuperAGI, I helped build one of the first open-source autonomous agent frameworks (21k+ stars), when agents were still fringe. I then went deep into enterprise security at Eli Lilly: agentic AI enablement in platform operations, DevX and Process Enhancement in Cybersecurity, and infrastructure-as-code at global pharmaceutical scale. Those paths converged. Today, as a Lead Agentic AI Engineer and Architect in Lilly’s cybersecurity, I define how AI agents connect to, reason over, and act on real infrastructure without becoming its largest attack surface. What I focus on: Agentic AI platforms and multi-agent orchestration (Claude Agent SDK, LangGraph, MCP) Agentic AI and LLM security: guardrails, governance, agent forensics, observability Enterprise MCP architecture and secure AI-to-infrastructure integration RAG, retrieval, evaluation, and observability Cloud-native platform and security engineering (AWS, Azure, Kubernetes, IaC) Selected work: Enterprise-wide MCP standard: 15+ gateways exposing 240+ tools behind a 7-layer defense Multi-tier agent platform handling 800+ operational tasks/month across 25 services, reducing resolution time by 88% and retrieval cost by 85% MANTIS: autonomous threat intelligence platform; NullCon AI Paper of the Year 4+ research papers on Autonomous SOC, Agentic Forensics, and safe agent interaction And more... What sets me apart is the both/and: equally comfortable building agents and breaking them, embedding security from the first design review—not after. I ship production systems, open-source the hard parts, and publish the research. I also act as a force multiplier across security and platform teams: leading hands-on sessions on agentic AI, security, and AI connectors; running office hours for 80+ engineers; driving design reviews; and building reusable modules that reduce ramp-up time. Next, I am building platforms, gateways, and guardrails that enable enterprises to adopt autonomous AI with confidence. I am particularly drawn to senior roles owning agentic AI architecture, AI security, and governance.

Location

Greater Bengaluru Area

AI stack

hugging face

langchain

langfuse

LlamaIndex

Promptfoo

PydanticAI

Work experience

AI Enablement Lead- Cybersecurity at Eli Lilly and Company, Mar 2025 - Present · 1 yr 6 mos, Bengaluru, Karnataka, India · Hybrid, I lead how our organization builds, secures, and adopts AI agents at enterprise scale, turning frontier AI into production systems that dozens of teams and thousands of employees rely on every day. • Architected and Built the company-wide standard for how AI agents securely connect to enterprise systems: a secure AI platform of 15+ connected services and 240+ tools (built on the Model Context Protocol) that every AI-to-system integration in the company now follows. • Designed and shipped a five-tier multi-agent AI system that autonomously handles 800+ operational tasks a month across 25 services, cutting average resolution time by 88% (from 45 minutes to 4). • Created the governance model for AI and non-human identities, defining how autonomous agents are trusted, permissioned, and contained so they can act at scale without becoming a security risk. • Built an AI-native quality and analytics platform behind VP and Director reporting that cut manual quality work by around 95% and restored accurate, trustworthy compliance visibility. • Established how every production AI agent is monitored, logged, and audited, with full decision replay so each autonomous action stays transparent and reviewable. • Drove the organization-wide rollout of enterprise Security first generative AI Standards, from deployment and security baselines to hands-on enablement, giving the whole company governed access to AI. • Recognized as the go-to person for agentic AI across security and engineering teams: I run knowledge and hands-on sessions, lead design reviews, and have helped 80+ engineers build with AI safely and confidently.

Senior AI & Automation Engineer - Security Platforms at Eli Lilly and Company, May 2024 - Feb 2025 · 10 mos, Bengaluru, Karnataka, India · Hybrid, Built the automation and platform foundations that let security teams ship faster and more safely. • Led the organization-wide shift to Infrastructure-as-Code, automating how security platforms are configured and deployed and removing the conflicts that used to slow four teams down; presented to leadership and adopted company-wide. • Redesigned and automated data onboarding for the security operations center, replacing manual, ticket-driven work with a self-service, approval-based workflow. • Engineered 25+ complex data integrations and set the enterprise framework and quality bar that all later work followed, building the operational foundation for security analytics. • Established the team's engineering-experience practices: reusable building blocks, safety guardrails, and standardized templates that cut repetitive work and lifted reliability.

Platform Automation and Logging Engineer - Security Platform at Eli Lilly and Company, Jul 2023 - Apr 2024 · 10 mos, Bengaluru, Karnataka, India · Hybrid, Laid the data and visibility foundations for the security organization. • Built the company's enterprise security data lake from the ground up, unifying 50M+ data points from across the business into a single source of truth for security analytics. • Rebuilt the core security logging pipeline end-to-end, delivering 31 high-priority data onboardings for reliable, standardized data flow. • Shipped real-time security dashboards that gave operations teams and leadership live visibility and faster response.

Founding Engineer & Creator at SuperAGI, Apr 2023 - Jul 2023 · 4 mos, Bengaluru, Karnataka, India, One of the earliest open-source frameworks for autonomous AI agents, built when the idea barely existed. • Pioneered and Envisioned SuperAGI as a founding engineer. It grew to 21,000+ GitHub stars and was adopted by 15,000+ developers worldwide. • Built the core agent orchestration engine, the reason-and-act loop that lets an agent take a goal, choose the right tool at each step, and work through multi-step tasks on its own. • Designed the tool-integration system that connects agents to external apps, APIs, and third-party services, and shaped it into a marketplace of capabilities developers could plug into their own agents. • Built the agent memory layer on top of multiple vector databases, so agents could store context, recall earlier steps, and improve with every run. • Engineered the backend that provisions, runs, and scales many autonomous agents at once, reliable enough for both local experimentation and production use. • Added performance monitoring and token-usage optimization, giving teams visibility into how agents behave and real control over cost. • Worked across the whole backend in a fast build, test, and ship cycle, and helped grow an active open-source community through documentation, examples, and hands-on contributor support. • Architected and shipped SuperCoder, an agentic coding tool used by 5,000+ developers. It was autonomous software development that predated and prefigured today's mainstream agentic coding tools like Claude Code, Codex, and Lovable.

Research And Development Intern at Samsung Electronics, May 2021 - Nov 2021 · 7 mos, Bengaluru, Karnataka, India, Worked on Development of Algorithm for the MEC Server Placement for 5g network in edge computing Developed the Algorithm and logic from scratch and implemented it

HPAIR'21 | Delegate at Harvard Project for Asian and International Relations (HPAIR), Jan 2021 - Oct 2021 · 10 mos, I'm delighted to have been selected among HPAIR Indian delegate and excited to learn and connect with the leaders of tomorrow. HPAIR is an internationally recognized student organization at Harvard College, offering a forum of exchange to facilitate discussion of the most important economic, political, and social issues relevant to the Asia-Pacific region.

ADCS SubSystem Head | BMSCE Upagraha at BMSCE, Jul 2020 - Apr 2021 · 10 mos, Bangalore Urban, Karnataka, India, Subsystem head of Attitude determination and control system of the Cubesat at BMSCE Satellite club i.e. BMSCE Upagraha

Education

B.E, Electronics and instrumentation engineering, B. M. S. College of Engineering

Public links

github: https://github.com/COLONAYUSH