Abhiraj Hinge

Work closely with cofounder & CTO. Atypical to Chief of Staff roles, this is a technical IC and management role: 1) AI Builder: Leading a team of AI Builders to create micro-SaaS tools & agentic automation to streamline workflows across Ema; Have dozens of tools and automations used by hundreds of employees and partners 2) Forward Deployed Engineering: Leading our pre-sales engg team building agentic solutions for our strategic, F500 customers (>$X Mn) (and running training programs globally for their teams)

Did many things, tried to be good at some: - Overseeing successful on-prem deployment of Ema for a Fortune 50 enterprise in multi-month effort spanning over a dozen teams - Driving in-house agentic automation across functions enhancing productivity across org - Running all financial budgeting/planning, investor relations/reporting, company metric measurements, procurement ($XX Mn budget) etc. - Owning compliance function and successfully leading Ema through SOC 2, ISO 27001 and ISO 42001 audits. On ISO 42001, Ema was among the first few companies in the world to be certified

Partnering with early-stage Application & Infra AI startups: 1. AI Video Editing (Seed, Application AI) 2. Photonics for faster inference (Seed, Infra AI)

Primarily invested in growth-stage opportunities in SaaS, FinTech and Education Investments: K12 Techno/Orchid Schools ($50M), Meesho ($75M) Exits: K12 Techno/Orchid Schools ($100M stake sale to Kedaara Capital) Portfolio Companies: Razorpay, Orchid Schools, Rupeek

- Worked on digital transformation and growth strategy engagements for technology, pharma and chemicals giants - Served one of India’s leading NGOs with charting out a 5 year strategy to 10x their impact

- Back when there were only 3-4 employees (and no marketing team) - Owned (designed and executed) an influencer marketing campaign to get us our first ~1000 users at an industry-beating CAC - This was my first time stepping out into the startup world way outside my comfort zone of coding. I had an absolute blast scaling the steepest learning curve I’ve come across

- Invented a decision-tree based algorithm for a multi-dimensional clustering problem arising in the supply chain domain - Implemented the developed algorithm from ground-up with a ton of optimisations using heaps etc. to bring down the time complexity to suit Amazon’s massive scale - Paper published on the algorithm at Amazon Machine Learning Conference 2021 and ECML PKDD 2022 - Received return offer

Wrote a bunch of code creating an infra monitoring tool impacting 100 teams resulting in 10x TAT reduction and identification of 50% resource underutilisation

Learned a way of life in my 10 years at this glorious institution.