Anirudh Sharma

Co-Founder

Mountain View, California, United States17 yrs 1 mo experience
AI ML PractitionerHighly Stable

Key Highlights

  • Invented multimodal AI interfaces for edge devices.
  • Scaled AIR-INK to 14 countries with major brand partnerships.
  • Led innovative projects at MIT Media Lab and beyond.
Stackforce AI infers this person is a leader in AI-driven human-machine interaction and sustainability technologies.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Human Computer InteractionProduct DevelopmentSpeech RecognitionStrategic PartnershipsGait AnalysisMachine LearningComputer VisionComputer ScienceTechnical DirectionUser Interface Design

Other Skills

TensorFlowLarge Language Model Operations (LLMOps)Agile MethodologiesCross-functional Team LeadershipHardwareResearch and Development (R&D)Go-to-Market StrategyUX ResearchHapticsComputer-Aided Design (CAD)Data ScienceResearchProject ManagementRapid PrototypingPhotography

About

I invent 'invisible' embodied interfaces and systems that interact with human senses, and the environment. RA- MIT Media Lab | MIT TR35, INK, TIME 100, TED, Forbes 30 Fellow. Technical interests- edge accelerators and sensor fusion. applied to new human-machine interaction. Passionate about taking things beyond the lab, he has been involved in the sketch to the scaling of new (sensors + machine intelligence) products used in healthcare, and sustainability industries. [AIR-INK: 100M. Scaled to 14 countries, licensed IP to Heineken, DELL, Diageo, Mastercard, Mont Blanc, and several hundreds of thousands of printmakers across the globe. and The Rolling Stones band made 'Paint it Black' cover-art with it :).] [Lechal: Launched at TED-MED. Physical Gait-AI I/O platform- licensed to footwear, elderly tech, Johns Hopkins Fall Clinic] Before MIT, he built a wearable insole haptic I/O platform for assistive navigation, gait analysis, and rehab, ran pilots at LV Prasad Eye Institute Hyd, spun off as a venture, and was featured as MIT Technology Review TR35 Innovators list. As a researcher, he has authored research papers and posters at ACM/IEEE UIST, CHI, and ICMI. Tangible forms of his work have been used by industries and products, patented, referenced by peers, and released on the market in products currently used by consumers.

Experience

17 yrs 1 mo
Total Experience
3 yrs 11 mos
Average Tenure
2 yrs 4 mos
Current Experience

Amazon lab126

Spatial AI @ Edge

Jan 2024Present · 2 yrs 4 mos

  • I lead the Spatial AI initiative at Amazon Lab126 (small AI models) - Our work focuses on inventing new interfaces that enable devices to understand intent, and passive human cognition through continuous, always on sensing, so systems can respond naturally to people and context in everyday environments. Applied to new technology dev for Fire TV and Ring.
  • drive multimodal edge models spanning cameras and audio, CNN based perception, VLMs for scene level reasoning, and multimodal fusion pipelines built to run 24x7 on low cost edge hardware (AI chips).
TensorFlowLarge Language Model Operations (LLMOps)Human Computer InteractionArtificial Intelligence (AI)Agile Methodologies

Career break

Personal goal pursuit

Dec 2023Mar 2024 · 3 mos · San Francisco Bay Area

  • participating in WWF Science Fund AI projects. edge AI open-source projects of personal interests related to active listening via ambient sensors/microphones, using tonality, and intent, and biomarkers. fused modalities with CV segmentation, and I/O.
  • github

Useful sensors inc. (google brain spinoff)

Head of Applied AI Research

Nov 2022Jan 2024 · 1 yr 2 mos · San Francisco Bay Area · On-site

  • [Plug-and-play Gen AI modules with the founding team of Tensorflow] - Team of 7 ex Google Brain, NVIDIA, Cerebras and Stanford Computer scientists.
  • built low-cost, easy to integrate hardware wearable modules that bring ML capabilities like natural language understanding, gesture recognition, presence detection, and voice interfaces to everyday devices, without depending on cloud.
  • Led AI pipelining effort (whisper in->LLM->TTS) with Llama, Vicuna7b, and Finetuned task specific Small Language Models. Running locally offline on sub 100$ hardware. Prototyped several use-case scenarios for B2B customer pilots.
  • Liaised with investors, board, design-partners, open-hardware community science and hf models collaborators
  • Led collaboration with several top open source communities, and Harvard Medical School to explore AI powered hearable wearables for dementia, and passive summarization via wearables with 24x7 speech signals.
Product DevelopmentCross-functional Team LeadershipSpeech RecognitionHardware

Graviky labs

Cofounder and CTO

Jun 2016Dec 2023 · 7 yrs 6 mos · Greater Boston Area

  • [Can we design systems that utilize CO2 and carbon and make scalable material streams from it]we are a small team of engineers and scientists (electrochemistry, mechatronics) trying to build a tabletop CO2 capture system. We open-sourced a part of the project: https://www.hackster.io/air-synth/air-synth-162320
  • Our brand AIR-INK, makes materials from captured CO2 used by several top automotive, and consumer brands. Mastercard, DELL, Heineken, Diageo, used by 10,000s of printers/artists across the world.
  • https://hypebeast.com/2022/10/johnnie-walker-air-ink-collaboration-unboxing
  • Example of partnerships: https://www.forbes.com/sites/brookerobertsislam/2021/04/20/pangaias-game-changing-collaboration-draws-carbon-from-air-pollution-to-print-textiles/
  • Demo: www.graviky.com
Agile MethodologiesResearch and Development (R&D)Product DevelopmentStrategic PartnershipsCross-functional Team LeadershipGo-to-Market Strategy+3

Mit media lab- massachusetts institute of technology

2 roles

Co-head, MIT Media Lab India Initiative

Jan 2013Apr 2015 · 2 yrs 3 mos

  • Led on organizing Asia's biggest innovation cohort to bring design, technology, and art students together at 5th MIT Media Lab India Initiative Design Innovation Workshop 2015. The workshop bought 25 MIT instructors from Cambridge/MA and 350 students from around the country, and 15 startups doing interdisciplinary work.
  • More than 100 demo-able prototypes were created, and demoed. india.media.mit.edu
Technical Direction

Graduate Student and Research Affiliate

Aug 2012Sep 2015 · 3 yrs 1 mo

  • Researched and built augmented reality computational interfaces using transparent OLEDs, gesture recognition, applied to manufacturing and architectural tools.
  • During his time at MIT, Anirudh developed several projects that were published at the top Human Computer Interaction conferences such as CHI, UIST, TEI as well as featured in popular media: The New York Times, CNN, MIT Technology Review, The Times, Fast Company, BBC, Discovery Channel Etc.
  • Part of Anirudh's work there, went forward to commercialization with various partners.
Computer VisionComputer ScienceComputer-Aided Design (CAD)

Ducere technologies

Head of Engineering and Cofounder

Mar 2010Mar 2019 · 9 yrs · On-site

  • Implemented an on-device gait analysis and haptic feedback system to aid the visually-challenged navigate and later gait analysis+ wearable muscle stimulation . Different iterations of the technology and product used for fall prevention and rehabilitation.
  • I led concept and technical development at HP Labs (microcontroller, sensor fusion, industrial design) and spunoff as Ducere, for haptic navigation, and piloted it with the first 20 visually challenged users in Bangalore/Hyd.
  • Built agile team at a cross of data science, gait analysis, human factors, electro-mechanical engineering.
  • Lechal insole gait stack is licensed to several shoemakers and healthcare companies.
Agile MethodologiesComputer VisionHapticsGait AnalysisMachine LearningGo-to-Market Strategy+4

Mozilla labs

Student Dev Intern

Mar 2010May 2010 · 2 mos

  • Enhancing browsing experiences through Firefox using new media interface. Wrote gesture recognition algorithms from ground-up that make the Mozilla Firefox browsing experience work on a mouse-less interface i.e. a multitouch tabletop display, augmented reality interface.

Hewlett-packard labs

Research Engineer

Feb 2010Apr 2012 · 2 yrs 2 mos · Bangalore

  • Developed an adaptive CAD modeling interface based on speech+pose estimation and stereoscopic displays. Prototyped software, hardware and form factor of the final piece which is now displayed at HP Labs innovation center, Zurich
  • Multimodal Interfaces
  • New input methodologies
  • Gestural Interfaces
  • User evaluation
Computer VisionUser Interface DesignComputer ScienceComputer-Aided Design (CAD)

Google

Sketchup

Apr 2009Feb 2010 · 10 mos

  • I am working on extending Google SketchUp to gesture recognition and stereoscopy for the NUIGroup TouchLib and CCV as a part of GSoC 2009
Computer VisionComputer Science

Education

Massachusetts Institute of Technology

Master of Science (MS- 3.9/4) at MIT Media Lab and PhD(break) — Media Technology

Jan 2012Jan 2015

RTU (Attended)

Bachelor Of Technology (Attended) — Information Sciences

Jan 2006Jan 2010

CRPF Public School, New Delhi

12th Standard — High School

Jan 2003Jan 2005

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