👋 I'm Sourabh

Enqurious

Owning end-to-end product strategy and engineering delivery for the company's multiple platforms.

• • Lead prioritisation and execution across Product and Engineering: roadmap, delivery planning, and release coordination.
• • Drive platform scale and user experience improvements for a product supporting 7k+ daily active users.

Enqurious

Lead architecture and delivery for a multi-sided learning platform.

• • Re-architected the platform into two strategic components: a creator platform and a client tenant platform, enabling clearer ownership, faster iteration, and scalable delivery.
• • Led planning and execution of v2.0, improving platform scalability and user experience while supporting growth to 5,000+ daily active users.
• • Productised ~70% of service offerings into repeatable product features and automation, reducing manual operations and improving delivery efficiency.
• • Built and shipped AI-powered workflow automation that reduced manual effort by 20+ hours/week.
• • Integrated third-party cloud labs, improving hands-on learning/mentoring experiences and saving 12-14 hours/week of manual work.
• • Mentored a team of 5 engineers through code reviews, technical specifications, and hands-on guidance across feature delivery.

Enqurious

Delivered the company's first skill-focused learning product from MVP to scaled usage.

• • Built the MVP (0→1) for the company's first skill-focused learning experience platform.
• • Translated business problems into shippable product increments by working closely with trainers, content creators, and learners to map real workflows into features.
• • Shipped the first full-stack production version post-validation, resulting in a platform used by 3k+ daily active users.

Enqurious

Focused on prototyping and automation for learning operations.

• • Built multiple PoCs integrating Google Classroom, Slack, and Google Colab to prototype a skill-intelligence learning workflow.
• • Automated operational workflows (reminders, score releases, key learner communications) using Slack bots + Python, reducing manual coordination overhead.
• • Developed an internal utility web app to help teams evaluate and score learner skills more efficiently.
• • Supported learning program operations at scale: 1,000-1,500 learners per program.

DTaiLabs

Worked on Deep learning & Neural machine translation.