I'm Rajiev Timal — an engineering leader who turns frontier AI, automation, and hard software problems into products used by hundreds of thousands of people. Clinician turned technologist, now architecting the next generation of intelligent systems in healthcare and beyond.
I've spent my career at the intersection of engineering and impact — building the AI and automation that make complex organizations move faster, and the products that people actually love to use.
Built conversational and agentic AI systems — from a "4-SINAI" text-to-care chatbot to an AI book-club facilitator — driving up to +1000% engagement and +40% workflow efficiency.
Stood up enterprise Gen AI and RAG on AWS Bedrock for a next-gen genomics lab, plus AI-driven tooling across clinician and patient experiences.
A former orthopedic-surgery Physician Assistant who scrubbed into hundreds of surgeries — I build healthcare tech that understands the clinician and the patient.
Co-founded and led engineering on multiple startups as CTO — owning architecture, team, and delivery, and taking products from zero to launch and scale.
Scaled teams from 2 to 30+ engineers, ran $5M+ budgets, and influenced enterprise architecture across 1000-person IT organizations.
Architected pipelines over petabytes of genomic data, HPC delivery, disaster recovery, and analytics warehouses that turn raw data into decisions.
Backend to mobile, model to interface, strategy to shipped. Here's where I go deep.
LLM agents, RAG pipelines, and chatbots that automate real workflows — patient scheduling, pre-registration, triage, and facilitation.
Event-driven, multi-tenant backends on AWS with ECS/Fargate & Kubernetes. Golang, Node.js, TypeScript, Python.
Native iOS & Android apps serving 10,000s of patients — MyHSS, Mount Sinai, Readfeed — featured by Google, integrated with Epic.
From frontier AI down to the data layer — here's where the craft runs deepest.
Leading software, AI & data engineering for next-gen genetic sequencing. Built custom LIMS & enterprise apps, a Gen AI/RAG framework on AWS Bedrock, and pipelines managing petabytes of genomics data.
Led digital engineering for a surgical care guide used by 95% of surgical patients and an AI-driven chatbot that lifted pre-registration efficiency 40%. Drove enterprise architecture across a 500-person IT org.
Architected a subscription platform enabling a $60M/year commercialization business. Built the team from 2 to 30, and shipped conversational AI that grew engagement 1000%+.
Founder-operator behind AI-powered products. Built an AI book-club facilitator featured by Google — 40,000 users in two weeks.
Educated at NYU (M.S. Computer Science), Illinois (MBA, Innovation & Entrepreneurship), and Stanford (AI Professional Certificate — NLP & Deep Generative Models).
Advising, building, or leading the next frontier of AI and healthcare innovation. If it's ambitious, I want to hear about it.