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Driving RecOps and People Strategy at AI organisations – hiring the top 1% talent to work on the most challenging problems.

What the Background means?

The network is the core data structure of our talent graph - researchers, labs, and affiliations as nodes.
Graph-theoretic algorithms - centrality, shortest path, embeddings — traverse it to surface the right candidates.

(Offline)Now,

Co-CEO at SteadRise.
Co-Founder of Secure AI Futures Lab.

8+ years finding and closing exceptional researchers and engineers for leading research labs including UK AISI, FAR.AI, and Apollo Research, while architecting the infrastructure, evaluation frameworks, and global teams that scale this work.

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I build recruiting infrastructure - talent maps, screening pipelines, sourcing tools - and lead the teams that run them, so that the right candidates surface faster, and the hiring teams can spend time evaluating, not searching.

Mostly a curious person who wandered into AI talent work and stayed because the problems kept getting more interesting. Sourcing researchers and engineers for teams building reliable AI systems - start with the talent map, build the pipeline, calibrate the bar, close the offer. Running the ops and the distributed team behind it end-to-end.

When I'm not buried in candidate spreadsheets or tuning an LLM about scoring rubrics, I'm probably lurking on Hacker News, poking at a side project that won't ship, or out on a walk with my dogs Wolfie and co — I document their adventures over at @thebarkitects_.

Built a 50,000-profile ML research talent map from 5 years of ICLR/ICML/CVPR proceedings. Harvested 100+ data sources — conferences, Olympiads, GitHub, Codeforces — into an 80K-record dataset at >90% accuracy. Vector embeddings for candidate matching, weighted scoring across 10 skill dimensions.

Scaled a recruiting funnel from scratch to 4,200 warm ML, SWE, and Quant candidates across 5 continents, while directing a 30-person distributed team that cut time-to-offer from 65 to 30 days and cost-per-hire by 27%. Partnered with hiring managers at 13+ organizations to scope roles, calibrate bars, and close 26 offers across FAR.AI, UK AISI, and Apollo — securing 12 accepted placements.

Organised one of India's first Alignment Research Fellowship - 600+ applicants across 40 STEM universities, 24 selected. Convened government, academia, and industry leaders through flagship summits, panels, and capacity-building programs in India and abroad - see events.

Co-founded Secure AI Futures Lab with $250K+ via Schmidt Sciences and AI Security Tactical Opportunities Fund. Convening government, academia, and industry across India and APAC. Partnering with IITs and IISc on AI for Science, Social Good, and Trustworthy AI.

Managed the development of an AI evaluation pipeline (Claude API + Airtable) scoring candidates across 20+ binary signals with tri-verdict logic. Leading product for Measuremint — a voice-first career agent using ElevenLabs + Claude for AI interviews.

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