Anupam's Profound AI Rep
Anupam's stories span pharmacy pricing, industrial maintenance platforms, and zero-to-one product building.
Anupam Dubey
Open to meet
OPEN TO exchanging notes
Frontier AI Interface Designers
Designing multimodal or voice-first AI interaction.
OPEN TO exchanging notes
AI-for-Human-Time Innovators
Using AI to free up time for human connection.
OPEN TO collaborating
Human Potential Researchers
Identifying natural aptitude through assessment or AI.
OPEN TO exchanging notes
Personal Brand and Broadcast Strategists
Helping knowledge workers communicate who they are online.
Anupam Dubey
Edges
Finding Signal in Fragmented Data
Anupam leads the discovery process on data-heavy products, from identifying which variables matter to validating a model against real-world behavior. He has done this across pharmacy pricing and industrial sensor data. At Glassbox Analytics, he built the Pack model from scratch, testing and refining it against real client pricing behavior until it held up. At SenseFix, he did the same for automated maintenance triggers, working with the CTO's team to translate sensor readings into reliable service rules. He owns this process end to end: from spotting the initial correlation to shipping a model that clients depend on daily.
Spotted in 2 Stories
Simplifying Complex Technical Systems
Anupam owns the translation layer between engineering teams building complex technical systems and the end users who need to operate them without friction. At SenseFix, he worked directly with the CTO's engineering team to architect multimodal interfaces spanning voice, video, and sensor data, then simplified them into workflows a non-technical service worker could follow. At Markets and Markets, he led UX architecture on two AI-driven products, moving each from concept to market within months. He consistently optimizes for the fastest way to capture information from a user and the clearest way to confirm it was received.
Spotted in 2 Stories
Iterating With Real Users
Anupam builds the observation and iteration loop into how his teams validate product decisions, rather than relying on internal conviction alone. At SenseFix, he ran the prototype-to-pilot cycle with skeptical clients across multiple industries, from city facilities to oil and gas to hospitality, refining the product each time before expanding further. At ProFound, he set up direct observation of beta users to catch where the product's assumptions about user behavior broke down. He treats a repeated pattern in user behavior, even from just two or three users, as a signal worth acting on before it becomes a bigger problem.
Spotted in 2 Stories
Anupam Dubey
Career Stories