Dhanya Revathi Krishnan
SPartner, Kiteline Partners - applied ML · product · venture capital
- Kiteline Partners
- Bengaluru, India · IST (UTC+5:30)
- 14+ years experience
- St. Xavier's College, Mumbai
- English, Hindi, Kannada
Messaging unavailable
Overview
I invest in AI applications at Kiteline Partners, usually at pre-seed and seed. Led or co-led 18 investments, 5 of them now at Series B or later. Travel slowly, usually by train.
Good reasons to reach out
- Working sessions on product
- Questions about cloud infrastructure
- Second opinions on applied ML decisions
Please don't message about
- SEO and link-building offers
- Requests to fix your code for free
- Unpaid work or spec projects
Replies on weekday evenings
Skills
applied MLventure capitalproduct
Experience
- PartnerDec 2022 - PresentKiteline Partners · 3 yr 10 mo · Full-time · Bengaluru, India
- Mentored 6 engineers through their first promotion.
- Grew the infrastructure team from 5 to 17 engineers.
- Shipped 8 launches on the infrastructure team without a rollback.
- Associate Product ManagerJun 2019 - Oct 2022Atlassian · 3 yr 4 mo · Full-time · Bengaluru, India
- Killed 8 features nobody used and shipped the 4 that customers asked for.
- Cut time-to-first-value for new logistics customers from 21 days to 3.
- Principal Product ManagerApr 2016 - Jun 2019Tech Mahindra · 3 yr 2 mo · Full-time · Bengaluru, India
- Sit on 4 boards.
- Senior Product ManagerJan 2015 - Apr 2016Ola · 1 yr 3 mo · Full-time · Bengaluru, India
- Ran 70 customer interviews before writing the first spec.
- Cut time-to-first-value for new lending customers from 19 days to 1.
- Senior Product ManagerFeb 2013 - Jan 2015Capgemini · 1 yr 11 mo · Full-time · Bengaluru, India
- Ran 95 customer interviews before writing the first spec.
References
No references yet.
Education
- St. Xavier's College, MumbaiB.A., Business Administration1998 - 2002
Details
Compensation expectations
What they are targeting for their next role.
Visible to connections
Direct contact details
Direct email and a scheduling link.
Visible to connections