Founding engineering
Your first technical partner. I own the platform end to end: architecture, the build and the first engineering hires.
- Core platform
- Architecture
- Observability
- Hiring loop
Bring me the messy problem. I design the system, build it and stay until it works in production.
Bring me the messy problem. I design the system, build it and stay until it works in production.
Pharma
Pharma
Automation
Freight
Health
EV
Commerce
I care less about novelty and more about shipping the right thing: clear architecture, honest observability and code the next engineer can actually live with.
These days I build Agent Serve and Agent Live with the team at Valnora & Elric, and I've led plant-floor systems for Granules India, Syntegon, Sun Pharma and Azbil. I also share four Apache-2.0 tools at Valthrax and teach system design at bootcamp.suryanand.com.
Short videos on how I think about problems, and walkthroughs of things I've built.
An AI workspace where teams build, deploy and manage AI agents. I architected the platform and lead its engineering, from multi-tenant data to the agent runtime.

An AI workspace where teams build, deploy and manage AI agents. I architected the platform and lead its engineering, from multi-tenant data to the agent runtime.

A real-time AI copilot for sales calls: live guidance while the call is happening, playbooks and compliance checks, and an admin portal for managers.

An EV super app: find and reserve chargers, plan road trips with charging stops, book service and insurance, and pay from one wallet.



Lyophilization process intelligence: every freeze-dryer, cycle phase, alarm and batch record on one live screen, with the audit trail on.

A fluid bed dryer digital twin: live sensor readings on a 3D model, drying curves, and an AI copilot that flags drift before it becomes a deviation.

Process and equipment intelligence across milling and drying: 3D equipment, live parameters, health scores, CIP/SIP monitoring and reports.

Field AI for on-site maintenance: smart glasses show the next step on the equipment, capture evidence and write the inspection report as technicians work.

On-site operations with AR: sign-in, pre-work compliance, guided execution, live data and evidence capture, ending in an audit-ready record, hands-free.

A freight operating system: shipments, bookings, containers and exceptions in one command centre, with live tracking and AI insights on delay risk.

shipping software that runs in production
built for, from Alphabet to Sun Pharma
from pharma lines and freight to fashion
AR, 3D and digital-twin systems on the plant floor
Most engagements start with a 30-minute call and move right. Each frame is a separate engagement, so you can start anywhere.
Book a callYour first technical partner. I own the platform end to end: architecture, the build and the first engineering hires.
I map the business problem to a system: integrations, data flows, security and the build plan, written down before anyone writes code.
Embedded with the process owners, inside your IT and security rules, putting AI and data into production against a business target.
From a back-of-napkin idea to something people use in production, in about two weeks, without a rewrite later.
I sit with the people who'll use it and write down the one outcome that matters, with a number next to it.
Four founders, four threads. Resolve them if you've read enough.
Start a project“Two weeks from Figma to a working app. We shipped to users on the call right after handoff.”
“Our junior devs picked up the code without one question. That alone was worth it.”
“Three other devs gave up on this build. Suryanand had it live in two weeks.”
“We launched on day 12. Closed our seed round on day 19.”
threads-clone.png$ pip install pressmark
✓ pressmark 0.1 installed
$ pressmark eval --min-pass-rate 0.9
✓ 47/50 prompts passed
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r2r-care.png› anthropic/claude
openai/gpt
google/gemini
Self-paced video courses for backend engineers and interview candidates. Structured modules, no filler.
Browse all coursesInterview-ready Node.js, AWS fundamentals and cloud system design, built for backend engineers cracking offers.
Architecture layer by layer: clients to services to queues to databases, reasoning through real designs.
Sharding, read replicas and the patterns that show up at data scale. New modules as the syllabus grows.
The questions I get on almost every first call. If yours isn't here, email me; I answer every one.
Ask something elseThe messy ones where software, data and operations meet: AI platforms, real-time voice, plant-floor and field systems, and products that need to go from zero to production. I've solved these for pharma, process-equipment, freight and EV companies.
Tell me what's slow, broken or stuck. I reply within one working day with a first idea of how I'd solve it.
Pune. I reply within one working day, usually faster.