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Rishi Latchmepersad

Data / ML Engineer

// trinidad and tobago, tt · UTC-4

Excited to work at the intersection of computer vision, machine learning, embedded systems and…

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profile sourced from GitHub

Scouting report

TinyML + embedded engineer working on STM32 NPU vision

assessed from open-source footprint

Principal
69signal

Rishi is the rare embedded/ML specialist here: his embedded-gauge-reading-tinyml project does int8-quantized CNN inference on STM32 NPU hardware (camera capture to accelerated inference), and trinistocks.com scrapes and visualizes Trinidad stock-exchange data (2★). A nine-year account with strong C/Python/Jupyter range across computer vision, IoT and energy systems. Niche and low-visibility (2 followers, 40% abandonment), but a genuine fit for embedded-ML or hardware teams.

Authorship & open source

Solo authorwrote 100% of commits on embedded-gauge-reading-tinyml
183 merged PRs778 commits / yr

What they build

Systems35%
Data / ML30%
Backend22%
Frontend6%
DevOps6%

Industry experience

  • Web & CMS
  • IoT & Hardware
  • Data, ML & AI

Signal breakdown

Originality87
Impact51
Consistency99
Polish45
Stars

5

top repo 2

Original repos

25

29% forks

Followers

2

On GitHub

9.1 yr

Live demos

3

Activity

Active

40% stale

Strengths

  • Verified author — wrote 100% of commits on embedded-gauge-reading-tinyml
  • 183 merged pull requests
  • 778 commits in the past year
  • Original builder — 25 of their own repositories
  • Ships to production — 3 live demos
  • Consistently active, low abandonment
  • Systems focus with Data / ML