Robotics / AI / Systems

Robots,
intelligent systems,
and the infrastructure
between them.

Selected work in open robotics, physical AI, healthcare platforms, and retrieval systems.

A softly animated industrial robotic arm
Alok soldering electronics beside a 3D printer in his workshop

01 / Selected work

Robotics and
software systems.

The projects combine software and hardware, often with uncertain data.

Animated diagram of a modular robot system
Fig. 01
Robotics infrastructureBuilding now

HefaOS: an open stack for building real robots

A framework for moving from an idea to working hardware without rebuilding the same infrastructure every time.

It defines clear interfaces across software, firmware, and hardware so each layer can change without rebuilding the rest.

  • C++
  • TypeScript
  • Real-time
  • Open source
Read the project story
Animated technical diagram of a circuit board built with a coding agent
Fig. 02
Agentic electronicsOpen source

Describe the board. Let the coding agent build it

Fulmetry gives your coding agent the project structure and commands to write the TypeScript, place and route the PCB, then build and test it.

You review the schematic, PCB, and 3D assembly in a local workspace, steer the next change, and prepare the finished board for manufacturing.

  • TypeScript
  • Bun
  • tscircuit
  • Hardware
Read the project story
Animated diagram of an autonomous agricultural robot
Fig. 03
MSc Robotics projectBuilt 2024

A field robot that sees, navigates, and acts

An autonomous agricultural platform combining spatial reconstruction, visual pest detection, and robot arm control.

Gaussian Splatting informed navigation, CNNs handled pest detection, and forward/inverse kinematics drove precise manipulation.

  • Gaussian Splatting
  • Computer vision
  • Kinematics
Animated diagram of exploratory information retrieval
Fig. 04
Retrieval researchExperimental

Retrieval that explores instead of only ranking

A retrieval approach that uses Monte Carlo exploration to search a corpus rather than depending entirely on vector similarity.

Early experiments reached roughly 80% recall on the target task, compared with under 20% for the embedding baseline. The experiment examines the search behaviour behind that gap.

  • RAG
  • Monte Carlo search
  • LLMs
Animated diagram of connected healthcare systems
Fig. 05
Software systemsProduction systems

Healthcare systems built around clinical constraints

Clinical platforms, remote patient monitoring, real-time communication, claims workflows, and document systems assisted by AI.

Work across startups and scaled healthcare companies focused on reliability beyond the happy path.

  • Distributed systems
  • Healthcare
  • Applied AI

02 / Working questions

The thoughts behind the work.

These questions guide what I build next.

A

How much of robotics infrastructure can become boring?

The useful kind of boring: predictable, inspectable, and reusable.

B

What changes when retrieval explores instead of ranks?

Search may need strategies, memory, and backtracking alongside better embeddings.

C

What makes open hardware extensible in practice?

Documentation and interfaces matter as much as a downloadable CAD file.

A short signal

Software and robots for use outside controlled demos.

Focus
Open robotics + physical AI
Background
Healthcare and distributed systems
Training
MSc Robotics, Queen Mary
Based
United Kingdom

04 / Contact

Building something at the edge of software and the physical world?

Let’s talk ↗