Talent Acquisition Leader · India & GCC
I build the teams that build AI infrastructure.
16 years of technical hiring across Google, Uber, Amazon and a venture-backed GPU cloud. I build TA functions from zero, partner with founders and engineering leaders, and use AI in my own hiring workflows every day.
Leadership impact at a glance
A career built inside engineering organisations
Experience
Where I've built hiring engines
Hyderabad & Kuwait
Recruiting Leader
A large-scale GPU cloud for AI inference, building the developer platform and enterprise software layer on top. Reported to the VP, Talent Acquisition.
- Built the TA function from zero across India and Kuwait: process, interview rubrics, ATS, compensation bands and employer brand. Hired 33 engineers and leaders in 18 months, including 5 staff-plus and 2 director-plus.
- Partnered with founders and the VP Engineering on talent-market mapping and cross-border pay; closed Senior and Principal Platform Engineer hires in GPU, inference and SRE.
- Designed an AI-assisted pipeline (AI sourcing → LinkedIn Recruiter → LLM screening against structured rubrics), cutting time-to-hire from 180 to 45 days.
- Led a team of 5 recruiters; filled 32 of 33 hires without agencies.
Hyderabad
Recruiting Manager
- Led 12 recruiters and senior recruiters across Hyderabad and Bangalore delivering Google Cloud Platform engineering hires.
- Ran hiring committees for 12 client groups; calibrated talent profiles sped up committee decisions while holding Google's hiring bar.
- Built headcount-capacity models with Finance and Engineering VPs through the 2023 hiring slowdown.
- Led India programs in market intelligence, D&I pipelines (women in engineering hires 4% → 23%), internal mobility and passive-talent engagement.
Hyderabad
Manager, Recruiting
- Grew the Hyderabad R&D TA team from 4 to 10 recruiters and owned delivery for core software engineering charters, ~230 hires a year.
- Redesigned the site referral program, lifting referral share of hires from 8% to 19% in 2021.
- Built the India Tech recruiting reporting framework used in site leadership and global TA reviews.
Hyderabad
Recruiter II
- Scaled the Customer Service Business Intelligence engineering org from 4 to 15 engineers in 8 months.
- Redesigned the team's technical hiring-event model, raising hires per event by 50%.
Bangalore
Technical Recruiter
- Ran software engineering and infrastructure pipelines across Bangalore, Hyderabad and Mountain View; co-led university hiring weeks in India and Bangladesh.
Hyderabad
Talent Acquisition Consultant → Recruiting Lead
- Earned 3 promotions to Recruiting Lead; owned end-to-end hiring for the Hyderabad and Mumbai R&D centres.
B.B.A. (National Planning & Entrepreneurship)
What I bring
Core competencies
TA strategy & org design
Multi-region TA across India and the GCC, TA operating models, workforce and headcount planning, recruiter capacity modelling, executive search.
Hiring excellence
Hiring-committee governance, structured interviews and rubrics, calibration, cross-border compensation benchmarking, offer strategy.
Talent ecosystem
Employer brand, referral programs, D&I pipelines, internal mobility and university hiring.
AI & analytics
AI sourcing and talent mapping, LLM-based resume screening with rubric scoring, AI interview notes, no-code automation, recruiting-tech evaluation and TA dashboards.
Explore
Thinking on AI and talent
Research and resources I keep updated for recruiters and TA leaders working in the AI era.
India's AI talent market
Demand, supply gaps, GCC hiring and pay bands, with sources.
Read the analysis →AI for recruiters
A searchable glossary of nearly 600 AI terms in plain English, plus an AI term of the day.
Open the glossary →AI in talent acquisition
From Boolean strings to recruiting agents, and a directory of AI tools for sourcing, outreach and contact data.
See the evolution →Open to senior TA leadership roles
Building an AI, cloud or deep-tech team?
I'm looking for Senior Manager, Director and Head of Talent Acquisition roles across India and the GCC. Let's talk.