Aditya Singh Shekhawat

Led zero-to-one AI product initiatives in logistics-tech, automating warehouse allocation and compliance workflows to save >$10K in ops and reduce manual effort by ~90%, while deploying Mistral-7B for an internal GPT copilot.

Founded a Text-to-Utility Platform enabling users to prompt apps without opening them. Led a team of 4 from Carnegie Mellon University, validated our hypothesis with 200+ waitlist users, and designed complete Product Architecture and User Flows. Achieved recognition as a Top 15 Team at CMU Hack-A-Startup, attracting interest from investors.

Optimized the implementation of Kinaxis Rapid Response, refining supply and demand planning across 20+ European regions through collaborative efforts with external consultants and internal stakeholders.

Worked with 6 distinct teams on various product verticals, including product development, market analytics, quality control, finance, and supply chain.

Focused on addressing unplanned and unmanaged investments by leading product roadmapping and customer acquisition efforts. Successfully onboarded over 150 paid customers and achieved significant growth in daily active users during the beta launch.

Collaborated with founders to enhance social media presence through strategic social media marketing initiatives.

Building AI products, consumer features, and internal platforms at Jumbotail. Took an internal LLM copilot from pilot to 12 teams and 1,000+ queries/day, owning model selection with a retrieval pipeline and evals, and drove monetization for a Gold membership reaching 60,000+ members.

Built an agentic text-to-utility app that parses user intent and routes it to the right action across multiple apps end to end. Validated with users, reaching a 200+ waitlist and placing Top 15 at Carnegie Mellon University’s Hack-A-Startup.

Ran a B2B supply-chain SaaS product across 20+ European regions. Improved adoption from 65% to 100%, reduced time-to-resolve by 20% and costs by 25%, and led global quality control and faster media-data UAT processing.

Grade: CGPA 8.51

Earned a B.Tech in Information Technology at Vellore Institute of Technology from 2018 to 2022.