Available · open to roles & collaboration

Nil SakariyaEngineering at the edge of AI.

Full-stack engineer & founding partner at DNJ TechX, CTO at Yrambio Solutions. I build AI products for healthcare, legaltech, and education — from zero to production.

About

A builder who treats software like an instrument — tuned, opinionated, and made to perform.

I've spent the last six years shipping production systems across healthcare, legaltech, and education — from RAG pipelines that summarise medical records to LLM-powered decision tools used by clinicians daily.

My day-to-day: making AI products feel inevitable rather than impressive. Strong opinions about latency budgets, weak opinions about frameworks. I believe the best AI products are the ones users forget are AI — they just work.

6+
Years shipping
12
Products launched
2
Companies co-led
100%
Remote-native
Mumbai — Toronto · 2026

Founder

Building companies that ship AI products people depend on.

Not just writing code — shaping product direction, hiring engineers, closing enterprise deals, and making sure the thing works at 3 AM when a doctor needs it.

D

DNJ TechX

Founding Partner

An AI products studio building production tools that clinicians, lawyers, and students actually use daily. We don't build demos — we build systems that handle real patient data, real case files, and real exam pressure.

GastroAGILexaMedAIMBBSAGI
Y

Yrambio Solutions LLP

Chief Technology Officer

An AI engineering consultancy that converts client ideas into shipped software. We take companies from 'we want to use AI' to 'our AI system processes 10,000 requests/day' — with clean architecture, proper observability, and zero vendor lock-in.

Custom AI AutomationsEnterprise IntegrationsAI Strategy

Tech Stack

Tools I reach for when it matters.

Not a bingo card — these are the tools I've shipped production systems with.

Languages

TypeScript
Python

Frontend

React
Next.js
Three.js
Tailwind CSS

Backend

Node.js
FastAPI
PostgreSQL
Redis

AI / ML

LangChain
OpenAI
Pinecone
RAG Pipelines
Agentic Workflows
Fine-tuning

Infrastructure

Docker
AWS
Vercel
GitHub Actions

Philosophy

How I think about building things.

01

Structure over speed

I don't ship fast and fix later. I ship structured and iterate confidently. Every system I build has clear boundaries, typed contracts, and a migration path.

02

AI where it adds leverage

Not every problem needs a model. I use AI surgically — where it genuinely reduces human effort or unlocks capabilities that weren't possible before.

03

Own the outcome

I don't hand off half-built prototypes. From architecture to deployment to the first user complaint — I stay in the loop until the product works in the real world.

04

Latency is a feature

Users don't care about your model size. They care about how fast the answer appears. I obsess over perceived performance, streaming responses, and edge caching.

Trajectory

From freelance to founder.

2023 - PresentDT

Founding Partner

DNJ TechX

Co-founded an AI products studio shipping production tools across healthcare, legaltech, and education. Architected the core platform powering GastroAGI, LexaMedAI, and MBBSAGI. Lead a distributed engineering team, own technical strategy, and drive product from zero-to-one.

2022 - PresentYS

Chief Technology Officer

Yrambio Solutions LLP

Run the engineering org for an AI consultancy that turns client ideas into shipped software. Designed the internal automation framework that reduced project delivery timelines by 40%. Oversee architecture reviews, hiring, and client technical relationships.

2020 - 2022FS

Software Engineer (Full Stack)

Freelance / Independent

Built and shipped 15+ production web applications for startups and SMBs. Specialized in React/Next.js frontends with Node.js backends. Developed a reputation for clean architecture, fast delivery, and zero hand-holding post-launch.