Aditya Gayakwad

I build AI systems that help companies get customers, automate execution, and improve customer journeys. Right now, I’m a GTM Engineer at IncrementumX, where I’m building autonomous and intelligent systems that help IncX and its clients generate pipeline, acquire customers, and automate GTM execution using AI agents and the right workflow stack. Previously, at Calley AI, I co-built Voice AI systems for sales and recruitment workflows and helped create a predictable pipeline of roughly $5K MRR at an early stage. We generated early interest from MNCs in the telecom sector, received pilot requests from a $40M firm, a mid-sized fintech company, and other mid-sized businesses, and nearly secured access to a call database of around 40,000 calls at the MVP stage to train higher-quality models. I’ve also worked deeply across AI research and applied systems. At BLAST AI, I built and fine-tuned language-model systems and worked on reinforcement learning and production-oriented AI workflows. At Harvard Venture Tech Summer Program, I got exposure to startup thinking, validation, and early-stage execution in a highly selective environment. I was also accepted into programs like TKS and LaunchX with scholarships, and into The Coding School’s quantum computing program on a 100% scholarship. Alongside this, I’m building an Agentic Customer Success Manager for SaaS and platform-based companies — an AI system designed to support onboarding, activation, engagement, retention, and expansion with less manual overhead. What excites me most is building AI that is commercially useful, technically real, and operationally scalable. Areas I’m especially focused on: • AI agents for GTM • pipeline generation systems • outbound and workflow automation • agentic customer success • customer journey orchestration • SaaS growth systems If you’re building in SaaS, AI,