Akshay Agarwal is a strategic technology consultant and Consulting CTO based in Mumbai with over 14 years of experience building web and mobile products and shaping technology strategy for startups and high-growth ventures. He has led engineering and product teams as CTO at MyDidi—driving a tech platform that enabled skilling and on-demand services for underserved women entrepreneurs—and now advises and architects solutions for clients at 10x Management and Zone Startups India. Comfortable at the intersection of product, design, and engineering, he combines hands-on software craftsmanship (including earlier work at Directi and a Google GSoC project) with executive-level strategy to scale platforms in large and unorganised markets. An advocate for clear developer experience, he has contributed technical documentation to the popular open-source Rasa conversational AI project, improving accessibility for NLP practitioners. He pairs top academic performance in computer science with a pragmatic focus on building sustainable, impact-driven technology.
14 years of coding experience
5 years of employment as a software developer
Bachelor of Technology, Computer Science & Engineering, 9.5/10, Bachelor of Technology, Computer Science & Engineering, 9.5/10 at SGGSIE&T
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:
Technical Writer
Contributions:6 commits, 6 PRs in 4 months
Contributions summary:Akshay's contributions focused primarily on updating and improving the project's documentation. They made revisions to the `docs/pipeline.rst`, `docs/entities.rst`, and `docs/tutorial.rst` files, correcting typos, updating syntax, and providing better examples. Additionally, the user updated a documentation link to point directly to the relevant Spacy language models page. Their work appears to be centered on ensuring the documentation is accurate, clear, and accessible to users.
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