Hey, I'm Shreeyam. I build safe, verifiable autonomy that lets spacecraft think for themselves.

I am a PhD candidate at MIT's Space Telecommunications, Astronomy and Radiation Laboratory with PI Prof. Kerri Cahoy. I work on space robotics, autonomous systems, instrumentation, and machine learning applied to spacecraft. Currently I work on dynamic tasking formulations for Earth-observing satellites funded by Planet Labs so we can use existing satellites more effectively through improved perception, onboard planning, and edge computing. I specifically focus on safe and verifiable autonomy formulations that can be operationalized. I have also conducted research on reinforcement learning for electromagnetic formation flying spacecraft, vision models for remote sensing, and utilizing liquid lenses for laser communications.

I currently work at Planet Labs as an Edge Compute/Machine Learning Engineer. I have worked on Pelican's onboard compute system on the NVIDIA Jetson platform, as the first employee on the Edge Compute team. My previous experience includes integrated photonics at X, the moonshot factory (formerly Google [x]), and I also led all onboard electronics development for Imperial College London Rocketry.

I started this blog for technical sewing projects. There are countless blogs from the early to mid 2010s that have been invaluable to my sewing journey, and I hope to contribute to that body of knowledge. I might occasionally write about fashion, research, or other topics also.

I wrote this blog platform called Spoingo. I also host a tree-based productivity software called Treetrack.

Contact: shreeyam [at] mit [dot] edu

Education

Massachusetts Institute of Technology (MIT)

PhD Spacecraft Systems and Sensors, minor in AI and Computer Vision

2024 - 2025

Thesis: Spacecraft Autonomy through Computer Vision and Onboard Planning

SM Aeronautics and Astronautics

2020 - 2022

GPA: 5.0/5.0

Thesis: Optical Performance and Prototyping of a Liquid Lens Laser Communications Transceiver

Imperial College London

2016 - 2020

MEng Aeronautical Engineering with a Year Abroad

Degree Classification: First Class Honours

Thesis: Design of low leakage MEMS valves for spacecraft applications

Experience

MIT Space Telecommunications, Astronomy and Radiation Laboratory

2020 - Present

Research Assistant (PI: Prof. Kerri Cahoy)

Cambridge, MA
  • Trained policies through reinforcement learning for multi-agent electromagnetic formation flight, for use in space as a set of collaborative agents
  • Developed analytic and reinforcement learned heuristics for dynamic task rescheduling for agile Earth-observing spacecraft
  • Trained machine learning models and created dataset for detection of ocean fronts from satellite imagery
  • Fine-tuned vision-language models for spatial visual question answering on remote sensing imagery
  • Designed, trained, tested, and validated vision models for cloud segmentation onboard ESA’s OPS-SAT mission
  • Conducted space environment testing and prototyping with NASA for a novel lasercom pointing and tracking system using liquid lenses, including testing in microgravity on a parabolic flight

Planet Labs

2022 - 2024

Edge Compute/Machine Learning Engineer

San Francisco, CA
  • Architected next-generation onboard compute platform for Planet’s Earth-observing satellite missions using NVIDIA GPUs as the first hire on the edge compute team
  • Designed, specified, and developed hardware for a low-power computer vision instrument for onboard autonomy
  • Wrote and deployed code for autonomous operations stack, including Linux camera drivers, model inference, security infrastructure, and operation with main flight computer
  • Radiation tested components including NVIDIA Jetson devices at UC Davis cyclotron to qualify hardware for space operations
  • Trained and distilled vision models for utility estimation for upcoming imaging activities, to be used for autonomous operations
  • Designed algorithms for onboard autonomous task re-scheduling, data collection and deployment campaign in progress

X Development LLC (formerly Google[x])

2021

Intern @X

Mountain View, CA
  • Interned under Taara, aiming to provide low-cost free-space optical communications (FSOC) internet access for underdeveloped countries.
  • Conducted communications architecture analysis for optically preamplified direct detection and coherent detection techniques.
  • Modeled integrated photonics components to assess the capabilities of each architecture.

Intelligent Environments Europe Ltd (ieDigital)

2016

Software Developer Intern

London, UK
  • Worked as a full stack software developer intern writing C# across teams managed under agile methodology.
  • Automated part of the workflow for business analysts using Python, saving tens of hours on importing old functional specifications into JIRA.

Skills

Programming Languages

Python, C, C++, C#, MATLAB, Verilog

Software

Microsoft Office, SolidWorks, Altium, PyTorch, Docker

Languages

English (Native), Hindi (Fluent), Korean (Intermediate)

Projects & Extracurricular Activities

Imperial College London Rocketry

June 2019 - July 2020

Electronics & Payload Team Lead

  • One of four executive leads of an 80-member team.
  • Led design and manufacture of all rocket electronics, including avionics systems, telemetry, data acquisition, throttle control system, and payload.

Awards

  • Best Paper Award in Small Satellites at AIAA SciTech Forum (2022)
  • Imperial College London Dean's List (2019)

Publications

2025