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snehilsanyal/README.md

Welcome to Snehil Sanyal's GitHub Profile

Hey everyone, I am Snehil Sanyal. As of Jan 2023, I am completely shifting my focus from academia to open-source development and industrial opportunities. I will still do some research work outside the academic framework, but will prioritize hands-on open source experience and my own ideas which I have been keeping in pending list for so long. Please check out my complete CV here

πŸ§‘πŸ»β€πŸ«πŸ§‘πŸ»β€πŸŽ“ I have started providing mentorship to students, and employees and consultation calls for startup clients. Please check out more here

I am also self-learning about foundation models, LLMs and Generative AI in my passtime in the top-down approach (building projects first and learn as a consequence).

Present

  1. Oct 2023 - Present: Contributed to Hugging Face Community Driven Computer Vision Course as team lead for two units: Multimodal Models and Ethics and Bias in AI. Flow involved: course outline creation, issue creation, preparing content and notebooks, team interaction and feedback, reiterating on content, push to main repository, review by HF team, finally merging the content. The first edition will be shipped soon πŸ€—πŸ€— Links: Ethics and Bias in AI | Multimodal Models | Merged Chapters.
  2. Aug - Nov 2023: Successfully completed the KaggleX BIPOC Mentorship Program as a Mentee for Cohort 3 (Project Focus: Ethics/Bias, BIPOC Representation in Data Science). One of the few mentees to receive a Career Development Grant of USD 500 for my data science journey. Links: PPT | Recording | Project Completion Certificate
  3. Aug - Oct 2023: Successfully completed OpenMined's Padawan Program as a Mentee for R5Q3 Cohort (Privacy Preserving AI and PETs).
  4. May 2023: I am now a Kaggle Dataset Expert (1X Expert) πŸ€—πŸ₯‡πŸ₯ˆπŸ₯‰
  5. Apr - Jul 2023: Worked as an Associate Data Scientist for Ascendeum Pvt. Ltd. (Research and Development role for LLMs, LangChain, transformers, text to SQL).
  6. Jan - Apr 2023: Open Source Development and community sprints (gradio-theme party, scikit-learn sprint)

Jul 2019 - Jan 2023

  • Pursued PhD from IIT Guwahati under the supervision of Prof. M. K. Bhuyan.
  • My research work invovled : Facial Emotion Recognition, Graph Representation Learning, Manifold Learning.
  • Collaborations with Prof. Debanga Raj Neog and Iwahori Lab, Chubu University.
  • I am currently looking for opportunities through which I can aid my research work and contribute to Open Source.
  • Libraries and Frameworks I used for my work: TensorFlow, Keras, PyTorch, PyTorch Geometric, Spektral, Scikit-Learn.
  • I love teaching fundamental concepts of Mathematics and Machine Learning. I have conducted 2 Lab sessions on ML as an instructor for Masters Students [link] and 2 lab sessions on Digital Signal Processing [link].
  • I am currently learning about: JAX, DeFi, NLP.
  • Served as a reviewer: IEEE INDICON, NCC 2022

Past (2017-2019)

Future

  • Working towards it, lol ...

Work

Loves

  • Fundamental Mathematics for ML
  • Coding (learning and implementing code based on new libraries)
  • My Family
  • Interacting with people from different cultures

Ask me about

  • Linear Algebra, Calculus and Probability (Fundamentals of AI and ML)
  • Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI, LLMs
  • Hinduism
  • Life, in general

ML Platforms

Reach me

Pinned

  1. johko/computer-vision-course johko/computer-vision-course Public

    This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord

    Jupyter Notebook 333 109

  2. Construction-Site-Safety-PPE-Detection Construction-Site-Safety-PPE-Detection Public

    β›‘οΈβš’οΈ Custom object detection for PPE Detection of Construction Site Workers. This repo contains notebook for PPE Detection using YoloV8.

    44 14

  3. EE521 EE521 Public

    Course webpage for EE521 Digital Signal Processors Lab 2021 IIT Guwahati

    TeX 7 22

  4. TensorFlow-2-for-Deep-Learning-Specialization-Coursera TensorFlow-2-for-Deep-Learning-Specialization-Coursera Public

    Repository for the course TensorFlow 2 for Deep Learning Specialization (Coursera) offerred by Imperial College of London

    Jupyter Notebook 1 1

  5. traffic_sign_detection_gtsrb traffic_sign_detection_gtsrb Public

    Notebook and model for German Traffic Sign Recognition Benchmark (GTSRB) Dataset. The notebook contains an extensive EDA for the dataset and trains a CNN classifier on the benchmark.

    Jupyter Notebook 1

  6. EE524 EE524 Public

    Course webpage for IIT Guwahati EE524 Machine Learning Lab (Jul-Nov 2020) Session

    1