In the age of AI coding, this engineer is making quality scale

Every workplace has rules that everyone knows but that are hard to keep track of. In an office kitchen it’s labelling your leftovers. In a software company it’s rules like “anything that touches customer data must check who is asking for it”. Teams write these rules down. Some now keep a plain-text file of house rules just for the AI assistants that write much of their code. Even so, a rule works best when someone checks it, and that someone is usually a senior engineer reading a colleague’s work line by line.

Throughout his career, Daksh Miglani has specialised in spotting where systems rely on someone’s close attention, and engineering ways for that attention to scale. His latest focus is giving that senior engineer their time back.

He is research lead for AI/Agents at Composio, which raised a $25m Series A led by Lightspeed Venture Partners in July 2025. Its platform, used by more than 100,000 developers at over 200 companies including Glean, lets AI software connect to everyday business apps. Miglani designs the systems in which AI agents build those connections themselves, often in loops that run autonomously. The system he built for the company, which engineers reach through Slack and GitHub, now runs about 4,000 sandboxed experiments a week. It also learns from every run, so each lesson only has to be learned once.

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A decade of building

Miglani started programming at 13 and was shipping production software while still at school, first as a product engineer at StayUncle. Also while at school, he co-founded Adler, which built electronic voting and auction software for clients including banks and audit firms: systems that have to be secure, auditable and dependable every time they run.

He moved into artificial intelligence years before it became a boardroom word. He co-founded Nasch, an employee-wellbeing platform that combined machine learning with psychology to help companies understand and support their staff. It was built on GPT-2 and BERT, early language models that predate today’s chatbots. That work earned him a place on Youth Co:Lab India 2020, a programme of the UN Development Programme, Atal Innovation Mission and Citi Foundation. He was later accepted into Entrepreneur First’s Bangalore programme, which backs exceptional individuals before they have a company, and whose own backers include Stripe’s Patrick and John Collison, LinkedIn co-founder Reid Hoffman and Google DeepMind co-founder Demis Hassabis.

In healthcare, he joined the clinical-technology company Neev as an advisor and ended up building the heart of its product: a system that turns doctor-patient conversations into clinical notes. In an Indian clinic, a single sentence can move between languages, the doctor, patient and relative may each speak a different one, and drug names such as trastuzumab and bevacizumab have to come out exactly right. The pipeline Miglani built for those conditions was used by clinics and hospitals in Bengaluru, and he says it outperformed existing transcription models on doctor-patient conversations.