Mayank Bhaskar

About Mayank Bhaskar

I have been at the helm of my own AI Research & Engineering Labs as Founder and CEO, focused on cutting-edge ML research & providing enterprise services focusing on key performance indicators, whose mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs on multimodal data like audio, textual, and video with high throughput and low latency 🧮On a typical day, I provide counsel to organizations in conjunction with AI researchers by posing challenging questions, critiquing their work, and solving their problems. Additionally, I am engaged in hosting and presenting at study groups, contributing to open-source projects, participating in Kaggle competitions, and numerous other activities ⌨Research interest includes anything that moves or in processing things that are on the audible spectrum and has recently been seduced by State Space Models (SSM), Multimodal models (audio, text, image, and video modalities including Vision Language Models), Transformers and their derivatives, Reinforcement Learning (RL), Graph Neural Networks (GNNs), Multilingual LLMs, amongst others, and their use-cases in solving self-driving autonomous systems including vehicles, drones, and robotics Having attended top ML Conferences like ICLR, ICML, CVPR & NeurIPS remotely, I have the insights and experience to help researchers bounce ideas off and work towards achieving our combined goals Customers need this in the retail space, content creation, media (podcasts, news & publishing), healthcare, gaming (storytelling via immersive voices), Avatars (voice agents with localized voices & accents), logistics, recruiting, sales & support, amongst others Connect with me on the socials and view my hobbies & interests:X ~ https://x.com/cataluna84Discord ~@cataluna84GitHub ~ https://github.com/cataluna84LinkedIn ~ ~ https://huggingface.co/cataluna84Kaggle ~ Developers ~ https://g.dev/cataluna84Reddit ~ ~ ~ https://stackoverflow.com/users/24•••46/mayank-bhaskarIMDB ~ Digital Gaming Journal ~ https://gist.github.com/cataluna84/4b61fc77df433939a0ed10217a9dab7c

Experience

1. Contributor & Lead

   Twiml

   Sep 2020 — Present · St Louis, MO, US

   I contributed to open-source projects, led, moderated, and presented in sessions about Generative AI, Diffusion, MLOps, and Reinforcement Learning. Also, I am involved in Kaggle and a small group of us meet every week on Saturdays, where I won a silver & a couple of bronze medals participating in 17 competitionsWorked on RAGs and made open-source contributions to the TWiML-RAG project where I helped develop pipelines for transcription & diarization of podcasts (via STT) using OpenAI\'s WhisperI also help moderate Generative-AI meetups every Friday where we connect, share, and discuss topics on Generative-AI (Langchain, Agents, etc), RAGs, LLMs, Computer Vision & Multimodal Models (VLMs), delve into ML techniques & algorithms, breakthrough research & their use-cases in the real world, and more Competition - Meta & Wandb AI Hacker Cup Competition - Google AI Hackathon Competition - HuggingFace\'s HackathonSlides & YouTube playlists of some talks and sessions: Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow by Hannes Hapke, Catherine Nelson - Book study group (+ Mash Zahid + Wenchang)https://bit.ly/3zl4hZK Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow, by Aurélien Géron - Book study group (+ Joseph Catanzarite + Mash Zahid)https://bit.ly/3z8tSFf CS224W: Machine Learning with Graphs 2021 Study Grouphttps://bit.ly/3ZoiYpi Reinforcement Learning: An Introduction, Book by Andrew Barto and Richard S. Sutton - Book study group (+ Arto)https://bit.ly/4eoo6hr DEEP LEARNING (with PyTorch) course by NYU (2020)https://bit.ly/4e5v6QE Natural Language Processing with Transformers by Leandro von Werra, Lewis Tunstall, and Thomas Wolf - BookClubhttps://bit.ly/3Tox6uP Practical DL for Coders (Part 2)- Study Grouphttps://bit.ly/3zk81dM Deep Unsupervised Learning (Berkeley) 2021 by Pieter Abbeel et. al.https://bit.ly/4epDj1I Kaggle Meetuphttps://bit.ly/3TtowLC

Education

• Cathedral Sr Sec School

  Higher Secondary - Central Board of Secondary Education (CBSE), Physics, Chemistry, Math, Computer Science, English

  2006 — 2007

• BABU BANARASI DAS INSTITUTE OF TECHNOLOGY AND MANAGEMENT

  Bachelor of Technology - BTech, Computer Science & Engineering

  2007 — 2011

• Cathedral Sr Sec School

  High School - Central Board of Secondary Education (CBSE), English, Hindi, Mathematics, Science, Social Sciences, Art, and Physical Education

  2005