# Prasad Subrahmanya

> I turn expensive, repetitive work into products people pay for.

Building Luminik, a multi-agent platform that ties B2B event spend to revenue. Previously built Aura at Bain ($0 to $3.6M ARR), co-founded Mainteny where the work helped raise a $2.7M seed.

- Role: Founder & CEO, Luminik
- Location: Oslo, Norway
- Email: prasadus92@gmail.com
- LinkedIn: https://linkedin.com/in/prasadus
- GitHub: https://github.com/prasadus92
- Building: Luminik (https://www.luminik.io), Alfred (https://alfred.luminik.io)

## Impact

- $3.6M ARR, from zero in 15 months (Aura · Bain & Company). Built a workforce-analytics platform used heavily in PE and growth-equity due diligence, as venture CTO, and took it from zero to $3.6M ARR in 15 months. I owned the data infrastructure it ran on, and moved the warehouse to Snowflake as the analytical load grew.
- $6M+ pipeline sourced for customers (Luminik). Founded a multi-agent platform that connects B2B event spend to revenue. I closed the first contract at $48K before the product existed, by running the workflow with scripts, spreadsheets and decks.
- 8% lead-to-opportunity at RSA 2026 (Luminik · live results). From 43,000 registered attendees to 1,840 ICP matches and meetings booked on the floor. Lead-to-opportunity reached 8%, up from 1.3% the year before, roughly 6x.

Pipeline sourced at: Money20/20, RSA Conference, Black Hat, Dreamforce, Gartner Summit, SaaStr.

## About

I did not start with much. I grew up in a small town in rural Karnataka, with few resources and no clear path into engineering. From my teens I lived in relatives' houses so I could stay in school, through pre-university and most of my degree. Living in someone else's home, you learn to stay quiet, useful, and out of the way. I did a lot of that, and I studied, because I had no fallback.

It worked. I placed 2,728 in the state engineering entrance exam, in the top one percent, which got me into computer science. I finished with First-Class with Distinction.

That start still shapes how I work. I am at home with hard, unglamorous problems, and I do not wait for perfect conditions to begin. It is most of why I became a founder.

Education: B.E. Computer Science, Visvesvaraya Technological University (2010 to 2014), First-Class with Distinction · 3.8/4.0.

## Work

### Luminik (Founder & CEO, Oct 2024 to Present)
Building a multi-agent platform that connects B2B event spend to measurable pipeline: attendee extraction, enrichment, ICP matching, outbound, CRM sync, and revenue attribution.

### SnowOptix (Founder, Jan 2024 to Oct 2024)
A Snowflake cost-optimization tool. It was used by one of the global top-3 consulting firms, and the conversations while building it surfaced the bigger problem that became Luminik.

### Aura · Bain & Company (Venture CTO, Nov 2022 to Dec 2023)
Took a workforce-analytics SaaS platform, used heavily in PE and growth-equity due diligence, from concept to $3.6M ARR in 15 months. Owned product, architecture, and the engineering team, and built the data infrastructure: a medallion warehouse on Snowflake with a Cube.js semantic layer, plus Lightcast and BLS taxonomies for comparable workforce data.

### Mainteny (Co-founder & CTO, Aug 2020 to Oct 2022)
Field-service management SaaS for maintenance companies across Europe. Built and launched the MVP solo in 3 months, raised a $2.7M seed, and scaled the team to about 15 across five countries.

Earlier: Quantumrock (Engineering Manager, BaFin-regulated algorithmic trading platform, Munich); Wirecard (Senior Software Engineer, PCI-DSS card processing at scale, Munich); CommerceIQ (Software Engineer, Retail price intelligence at 100M+ SKUs/day); BlueJeans (Verizon) (Platform Engineer, Video platform, recording v1.0, Bangalore).

## How I work

- Get close to the problem: I work next to the people who have the problem, so the product comes from what they do day to day.
- Earn trust before production: The real work is the cases that break: evals, a judge I have calibrated, and adversarial tests, so I know how a system behaves before customers see it.
- Stay hands-on: I write the code, review it, and read what the system produces in the wild. This kind of work does not lead well from a distance.

## Skills

- Agentic systems: Multi-agent orchestration, autonomous agent fleets (Alfred), LangGraph, MCP, tool use and planning
- RAG & memory: Vector DBs, embeddings, hybrid and semantic search, context engineering, agent memory
- Evals & guardrails: LLM-as-judge, eval harnesses, benchmarking, red-teaming, adversarial tests, safety gates
- LLMOps & reliability: Tracing (Langfuse), OpenTelemetry, cost and latency control, failure handling, durable execution
- Applied ML & model work: RL and reward design, prompt and context engineering, fine-tuning, multi-model routing (Vertex, OpenAI, Anthropic)
- Distributed systems: Microservices and SOA, event-driven and async services (asyncio, aiohttp), FastAPI, Django, Spring Boot + Kotlin, Kubernetes, Kafka
- Full-stack & mobile: Next.js, React, TypeScript, React Native and Expo, Tauri, end to end from data model to UI
- Cloud & data platform: AWS, Terraform, Snowflake, data pipelines and warehousing, Postgres, CI/CD