Benjamin Liang

Benjamin Liang Email and Phone Number

AI Research Lead @ Kaedim
New York, United States
Benjamin Liang's Location
New York, New York, United States, United States
About Benjamin Liang

AI @ BitMind (Bittensor Subnet 34)Former Computer Graphics (Human Perception, ML/AI) PhD candidate @ NYU.Co-founder and President @ Blockchain Lab NYU. Hackathons:ETHGlobal NYC 2023 - Top 5 on QuickNode RPC (Quicknode)- Best use of Subgraph or Substream (The Graph)- Top 10 (WalletConnect)- Best use of APIs (1inch)- Mantle, UMA, NeonEVM, WorldCoin, Arbitrum Pool PrizesBest Use of AI by WorldCoin - ETHGlobal Superhack ($2.5K Prize) Runner-up - Chainlink Spring 23 Hackathon ($4K Prize) ETHGlobal Waterloo 2023 ($10000 CAD)- Best Use of Existing Subgraph (The Graph)- Best Use of NFT API (Quicknode) - Best Use of Highlight - Top 8 (Filecoin, IPFS) - UMA Pool Prize- WorldCoin Pool Prize- Polygon Pool Prize - Official NFT Collection of ETHGlobal Waterloo 🦆Olympihacks 2023 - 1st Place overall ($5000 CAD)ETHBoston 2023 - 1st Place Overall ($4000 USD)LionHack 2023 - 1st Place for Solana Track ($4000 USD)ETHDenver 2023 - 2nd Place zkBob Bounty ($2500 USD)

Benjamin Liang's Current Company Details
Kaedim

Kaedim

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AI Research Lead
New York, United States
Website:
kaedim.com
Employees:
71
Benjamin Liang Work Experience Details
  • Kaedim
    Ai Research Lead
    Kaedim
    New York, United States
  • Stealth
    Co-Founder
    Stealth
    New York, United States
  • Bitmind
    Ai Engineer
    Bitmind Jun 2024 - Present
    George Town, Ky
    Core contributor developing BitMind's decentralized deepfake detection subnet on Bittensor.
  • Blockchain Lab @ Nyu
    Co-Founder, President
    Blockchain Lab @ Nyu Jan 2023 - May 2024
    Academic Mentorship & Professional Growth• Led workshops and collaborated with industry leading businesses on capital markets projects. Directed student publications and ventures. Within the lab’s first 3 weeks, guided 20+ NYU student-entrepreneurs to win $7,000 from pitching and hacking events.
  • Near Foundation
    Technical Program Manager Intern @ Horizon (Equity-Free Web3 Accelerator)
    Near Foundation Jul 2023 - Jan 2024
    Zug, Zug, Ch
    Product Innovation• Working closely with stakeholders and designers, led LLM-driven startup tooling launch. Conducted A/B tests with 30 founders to enhance UX. Introduced NFT membership system for the HZN1 cohort.Strategic Partnerships & Growth• Worked with the Founders' Experience team on high-value collaborations with AWS, Google Cloud, Microsoft, and Notion, unlocking $150k in credits for the 300 projects and 100 providers in the NEAR ecosystem.
  • Kapybara.Ai
    Technical Co-Founder
    Kapybara.Ai May 2023 - Sep 2023
    Product Management• Spearheaded product strategy to fill market voids, enhancing conversion rates for complex technologies. Led cross-functional collaboration for on-schedule releases.Alpha Product Feature Prioritization• Launched an AI CRM for DevRels, attracting 40k users by integrating LLM pipeline and Web3 features based on comprehensive market analysis.Business Development• Raised $40k through pitches and won competitions. Established 6 key partnerships, such as with Major League Hacking, leveraging insights from user research and expert interviews.
  • Nyu Tandon School Of Engineering
    Computer Science Phd Candidate @ Immersive Computing Lab
    Nyu Tandon School Of Engineering Aug 2022 - May 2023
    Brooklyn, Ny, Us
    Computer Science Doctoral Candidate at NYU Tandon with academic publications in computer graphics (VR/AR) and human perception (visual, haptic).Probability-Modeled Stereoscopic Eye Movement in Mixed Reality (with NVIDIA)• Led NVIDIA collaboration to co-author a computational model predicting eye movement in mixed reality, enhancing VR/AR design. Oversaw design and execution of 12,000 psychophysical trials, optimizing visual performance and informing best practices in VR/AR display design and interface layout. (Unity3D, PyTorch).Information and Data Visualization Course Assistant• Developed tutorial notebooks and assignments on VR/AR and deep learning visualization, delivered lectures on graphics techniques: perspective projection, rasterization, antialiasing, occlusion. (Matplotlib, ggplot2, Tableau).
  • Nasa - National Aeronautics And Space Administration
    Software Engineer, Graduate Mentor (Immersive Computing Lab Grant)
    Nasa - National Aeronautics And Space Administration Aug 2022 - May 2023
    Washington, Dc, Us
    Artemis Mission• Developed algorithms for immersive simulations to train astronauts in navigating lunar terrain. Incorporated eye tracking and head pose data to create infinite and collision-free motion in multiplayer VR, while ensuring consistent walking paths. In collaboration with Goddard Space Flight and Kennedy Space Centers.Project Alignment• Facilitated cross-functional meetings between the design team, grant stakeholders, andengineering/research team to ensure alignment and project success.
  • New York University
    Undergraduate Research Assistant
    New York University Sep 2020 - Feb 2023
    New York, Ny, Us
    Audio in Mixed Reality• Simulated sine-sweep chirps convolved by rooms, recorded by a virtual mic external to the %rooms (Unity3D). Trained CNNs on audio Mel-spectrograms to infer room dimensions; Smart Wearable Bio-Tracker for TeleRehab & TeleMonitoring• Lead software engineer in a team of 20+ members. Directed Bluetooth Low Energy mobile app development for use with a wearable haptic armband (Arduino, React, JS).AI4CE Lab Assistant• Oversaw data collection for an egocentric computer vision dataset using multimodal RGB-D sensors. Processed 8TB+ of image data using shell scripting and SLURM on NYU's High Performance Cluster.Holodeck• Integrated client-host networking, data transfer using an MR app for user input (JS, TCP/UDP)
  • Buyersight
    Data Analysis, Business Intelligence Intern
    Buyersight Jan 2021 - Jul 2021
    New York City, Ny, Us
    NLP Pipeline• Reported to CTO on the design of a sentiment classification utility (PyTorch, scikit-learn, SSH) and evaluated the efficacy of natural language processing models for opinion mining of sales prospect communications and outreach based on metrics from confusion matrices, Type 1 and 2 errors, and ROC curves.}Sentiment Analysis• Evaluated various classifiers, documented results with different hyperparameters, and improved sentiment analysis accuracy from 75% to 82% by using Quadratic Discriminant Analysis. Results uploaded to the startup's Atlassian space for future reference.
  • Nyu College Of Arts And Science
    Undergraduate Student Researcher
    Nyu College Of Arts And Science May 2020 - Jul 2020
    New York, New York, Us
  • Nyu Future Reality Lab
    Nyu-X Holodeck Research And Development
    Nyu Future Reality Lab Jan 2019 - Aug 2019
    New York, Ny, Us
  • Nyu Tandon School Of Engineering
    Software Manager And Team Lead
    Nyu Tandon School Of Engineering Sep 2018 - Dec 2018
    Brooklyn, Ny, Us

Benjamin Liang Education Details

  • Nyu Tandon School Of Engineering
    Nyu Tandon School Of Engineering
    Computer Science
  • New York University
    New York University
    Computer Science
  • Cupertino High School
    Cupertino High School

Frequently Asked Questions about Benjamin Liang

What company does Benjamin Liang work for?

Benjamin Liang works for Kaedim

What is Benjamin Liang's role at the current company?

Benjamin Liang's current role is AI Research Lead.

What schools did Benjamin Liang attend?

Benjamin Liang attended Nyu Tandon School Of Engineering, New York University, Cupertino High School.

Who are Benjamin Liang's colleagues?

Benjamin Liang's colleagues are Rachel Chung, Dimas Qiftirul Reza, Guillermo Andrés Partida García, Emmanuel Madrigal, Florencia Borquez, Ryan Philip, Anandu Rv.

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