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Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault Contributor

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Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault Contributor

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AryanMadhavVerma/README.md

Software engineer turned robotics researcher. ~3 years building in SaaS before I left to go deep in Physical AI

Started as an early engineer at Houseware, building agentic systems back when agents were still just research papers. Had a small exit when we got acquired, post which I spent a year and a half as a backend engineer at LaunchDarkly working on infrastructure, data and product. Briefly worked for an AI research lab(Conscious Engines) before leaving the safety of a job to transition into independent work.

My current focus is on how to make robotic foundation models more reliable. The research spans from failure detection and self-improvement loops to reasoning and planning in real time

Apart from these specific focus areas, some problem spaces I am deeply curious about

  • Synthetic humanoids
  • Continual, omnipresent personal intelligence across consumer software and hardware
  • Bio-enhanced humans

If you're working at the intersection of any of these domains, feel free to hit me up for a conversation!

Socials:

LinkedIn Twitter

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  1. grippybot grippybot Public

    A cheap entry point to imitation learning on real hardware. A $15 3D-printed robot arm that learns to pick things up through behavior cloning

    Python 6

  2. full-stack-robot-learning full-stack-robot-learning Public

    training a franka panda arm to reach target using RL and testing positive transfer of actions finetuning Octo(VLA)

    Python 1

  3. mechanistic-transformer-interpretability mechanistic-transformer-interpretability Public

    A study on how internal layers of a transformer work and causally impact behaviour

    Python

  4. language-instructed-robotic-assistant language-instructed-robotic-assistant Public

    An open-source research project exploring the intersection of natural language processing, computer vision, and physical hardware. LIRA can receive natural language commands, control hardware, capt…

    Python

  5. HousewareHQ/dbt_facebook_ads_metrics HousewareHQ/dbt_facebook_ads_metrics Public

    About pre-built metrics for Facebook Ads data. Check out metrics for other SaaS tools at https://hub.houseware.io/

    7 1

  6. clip2action clip2action Public

    tiny end-to-end experiment in building a VLA loop from scratch.

    Python