Rohit Ganapathy

Co-Founder

Bengaluru, Karnataka, India7 yrs experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in AI-driven product strategy and engineering.
  • Co-founded multiple startups with innovative tech solutions.
  • Proven track record in data science and machine learning.
Stackforce AI infers this person is a SaaS and AI product strategist with strong data science expertise.

Contact

Skills

Core Skills

Product StrategyEngineeringData ScienceMachine Learning

Other Skills

AIC (Programming Language)Dev ToolsInfrastructureLeadershipMLOpsMicrosoft ExcelNLPNatural Language Processing (NLP)Risk ModellingSaaS

Experience

7 yrs
Total Experience
1 yr 5 mos
Average Tenure
--
Current Experience

Accel

Investment Team : AI, SaaS, Dev Tools, Infra

Mar 2023Aug 2025 · 2 yrs 5 mos · Bengaluru, Karnataka, India · On-site

  • novel new AI workflow/agentic applications, alternate efficient FM plays, FMs for new spheres, alt chips, AI cloud infra plays, HITL plays, products that speed up taking AI apps to prod from an accuracy/security POV, SLDC picks and shovels analogs for AI, existing B2B categories reimagined from the ground up through an agentic lens. There is so much exciting stuff going on. If you're building something in these categories or adjacent, please drop me a message!
  • Companies I work with :
  • e6data (high performance lakehouse compute engine)
  • Simplismart (Infrastructure for open source AI)
  • Sprouts AI (AI powered ABM platform)
  • DataBrain (AI powered BI tool for customer facing analytics )
  • Facilio (Operations platform for smart buildings)
  • Uniqode (SaaS for QR code management)
  • Hashnode (Developer Blogging Platform)
  • Appsmith (Low code platform to build internal tools)
  • Chronicle (Platform for impactful storytelling)
  • Fincent (Simple to use bookkeeping software for SMBs)
AISaaSDev ToolsInfrastructureProduct StrategyEngineering

Swaraj labs

Co-Founder : Product and Engineering

Feb 2022Feb 2023 · 1 yr

  • After realizing humit wasn’t working, we pivoted. We were toying with NFTs as a way to represent exclusivity, fandom, and access—potentially unlocking a new revenue stream for artists amid declining streaming income. We experimented with creating our own music IP, granting ownership rights, allowing fans to manipulate stems to craft unique versions, and enabling direct interactions with artists whose NFTs they held. The entire market got wiped out from the crypto crash. Also made us realise that most of crypto, at least, then was about speculation and nothing more.
Product StrategyEngineering

Humit app

Co-Founder : Product and Engineering (acqd by Juno Finance)

Jan 2021Apr 2022 · 1 yr 3 mos · Bangalore Urban, Karnataka, India

  • At humit, we set out to create a fun, music-centric social experience—think Reddit for music—bringing together users from different streaming platforms under one roof. A classic ZIRP-era idea that wouldn’t get funded today, but a formative journey nonetheless. We learned what it takes to ship great software and became proud sticklers for delightful UX and pixel perfection. We also had a bunch of really passionate users.
  • Backed by Antler, FirstCheque, and angels including Kunal Shah
  • Acqui-hired in 2023 by Juno Finance (backed by Sequoia & Dragonfly Capital)
Product StrategyEngineering

Payu

Data Scientist

Feb 2020Jan 2021 · 11 mos · Mumbai Area, India

  • Worked on PayU's BNPL product LazyPay mainly focussing on improving the risk models being used to underwrite millions of customers.
  • Here are some of the things I worked on :
  • Graph based approaches to risk modelling using network data. This helped us almost 2x the customer base for credit approval.
  • Designed and implemented the inference pipeline for LazyPay’s risk engine that underwrites hundreds of millions of customers every month.
  • Built tools to better analyse the tons of models we were training.
Data ScienceRisk ModellingMachine Learning

Quantiphi

Machine Learning Engineer

May 2018Dec 2019 · 1 yr 7 mos · Mumbai, Maharashtra, India

  • Worked on implementing deep learning solutions for Fortune 500 companies, primarily focusing on NLP applications. Much of what we see Gen AI doing today—Q&A, text summarization, and more—felt further away from reach at the time. This was before the era of scaling laws, where most of the models claiming to do them were toy repositories with cherry-picked examples. And making anything work, required crazy amounts of data to even have a chance.
Machine LearningNLPData Science

Education

Birla Institute of Technology and Science, Pilani

Bachelor’s Degree — Mechanical Engineering

Jan 2014Jan 2018

R.N. Podar School

High School — Science

Jan 2012Jan 2014

St Gregorios High School

High School

Jan 2001Jan 2011

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