The Introductions Thread!

#72

Hi Bharath,

My name is Shreyas Nandanwar, and I’m a final year BTech Computer Science Engineering student at MIT Pune University, India. I’m writing to express my keen interest in contributing to the Protein Language Modeling project as part of Google Summer of Code (GSoC).

While I don’t have prior experience working with HuggingFace or fine-tuning LLMs, I’m highly motivated to learn and possess a strong foundation in machine learning concepts. The prospect of delving into this exciting field and contributing to a project with such significant implications for protein research truly excites me.

My academic background in computer science has equipped me with a strong foundation in programming languages like Python and machine learning algorithms. To prepare myself for this project, I’ve begun exploring resources on Hugging Face Transformers and LLM fine-tuning techniques. I’m eager to learn more from the project mentors and the broader community.

I would be grateful for the opportunity to discuss my potential contributions further and learn more about the project’s specific needs. Please let me know the preferred communication channels for interacting with the project mentors and community.

Thank you!

#73

hi barath
i am Priyanshu Prajapati, currently pursuing BTech in UIET KANPUR in Computer Science with a specialization in AI(2021-2025). I am currently participating in competitions on Kaggle and also reading research papers. I am currently working on BERT models. I have learned supervised, unsupervised, and reinforcement learning, as well as NLP and transformers. Now, I am learning BERT models. I am also a full-stack developer with very strong mathematics and analytical skills, especially in permutation, statistics, and probability. I know various programming languages and engage in problem-solving using R, Python, C++, C, and Go. Additionally, I have worked in cryptography, particularly cryptography in buffer overflows for bug detection. Currently, I am working on a research paper on LLMS. I am interested in data science or ML research. I also have skills in database management, SQL, and PostgreSQL, but ML is my proficiency. I am currently learning BERT models and researching LLMS.i am also very active in opensource communities
I want to work on Protein Language Modeling with DeepChem and Hugging Face Transformers i am already in finetuning of llms or stable diffusion training so i am eagerly want to contribute in this model training
i recently working on bert on new llm bugs with UIUC professors and finetuning and vector databases

Thank YOU ,
Priyanshu Prajapati

#75

Hi everyone!

I am Marc, a medicinal chemist working in the biotech industry. With a hobbyist’s interest in coding, I’ve been exploring AI for some time now.

Recently, I decided to dive deeper into AI and am currently working through the Deepchem API. My goal isn’t to become an AI expert, but to develop a solid understanding of the field so I can effectively communicate with AI experts. Given the current AI hype, everyone seems to be offering a miracle solution for all medicinal chemistry problems. By studying ML/DL algorithms, I aim to clarify what’s realistically achievable today, identify key challenges, and understand the limitations of AI in this field.

#76

Hello, I am Rishi Das from NIT Rourkela. I am pursuing engineering and I am interested in the field of Data Science and Machine Learning. I am very enthusiastic about training new varieties of model on various diversified datasets. Currently, I am working on research projects on Cancer treatment. My aim is to employ AI to get solution to the problems that the world ineveitably face like medical diagnosis and treatement, reducing carbon footprints, financial scam detection, etc. If anyone want to follow me then LinkedIn. Hope to connect with all soon!

#77

Hi everyone!
I am Taha Rizvi, a B.Tech undergraduate in Artificial Intelligence from ZHCET, Aligarh. I have hands-on experience training machine learning models on Kaggle, and my tech stack includes Python, PyTorch, React.js, Express.js, Node.js, and MongoDB for databases. Additionally, I have deployed AI models using Flask.

I am passionate about contributing to this organization as it aligns perfectly with my deep interest in both chemistry and machine learning . I am eager to apply my skills and collaborate on impactful projects.

#78

Hi Everyone!
I’m Shreyasree, a BE Student in Biotechnology, from Dayananda Sagar College of Engineering, Bangalore. I have hands-on experience with ML and DL algorithms, as well as the MERN stack and Streamlit.

I am excited to contribute to the field of Protein modelling and drug discovery, via the use of AI and ML, and to collaborate on impactful projects

#79

Hi,

I am Akshay - professional working in small molecular drug discovery and scale-up studies for last 8-9 years.

I am exploring AI, ML in drug discovery so that I could fasten the process of DD.

I am also planning to change my career in computation and AI for drug discovery

I would love to get some examples where these tools are used to solve real world DD problems or its still in early stage

#80

Hello everyone. My name is Valentina Buoro, a pharmacist turned software engineer. I’m currently exploring the use of AI to improve healthcare and drug discovery and I’m super excited to have found DeepChem and its community.

1 Like
#81

Hello here,
My name is Zainab, and I’m currently interning with the ChEMBL team, where I’m exploring the targeted protein degradation (TPD) dataset in the database.
The GSOC project on improving new drug modality support (i.e., PROTACS) looks really interesting and related to what I do, and I’d love to contribute to that.

I’d also appreciate if I can be pointed in the right direction to get started and familiar with the commnity. Thank you.

#82

Hey everyone,
I am Som, undergraduate from IIT Roorkee.
This project seems interesting. Excited to contribute :slight_smile:

#83

Hi, I am Dmitriy. I am a comp chemist working on creating new scents and flavors. Thanks!

#84

Hi, I’m Shigraf. A computer science student working at a medical AI startup solving neurological diseases.
I have recently started contributing to DeepChem.

#85

Hello Everyone!
My name is Michael Ndudi, I am a software engineer and biochemistry undergrad from the University of Lagos. I am really interested in Computational Biology and hope to do a higher degree in the field. DeepChem seems super interesting and I am excited to contribute.

#86

Hello everyone,

My name is Mansi and I come from India.
I’m an upcoming master’s student in Physics and I hold a bachelor’s degree in Physics and Chemistry.

Currently, I’m doing an internship at the Computational Chemistry Lab of Dr. Rajagopala Reddy Seelam @ Central University of Rajasthan.

My interest lies at the intersection of physics and chemistry. Additionally, I have a keen interest in scientific computing and machine learning.

Looking forward to becoming a part as this year’s contributor(hopefully!)

#87

Hi everyone! I’m jahnavi, a Computer Science graduate interested in AI, ML, and open-source contributions. This is my first time contributing to open source, and I’m excited to get started with DeepChem. Looking forward to learning and contributing! lets connect.

#88

Hello I’m Amogh S. I’m an Information Science undergrad at Smvit , Bangalore. This would be my first open source contribution . The reason I’m interested in contributing in DeepChem is the aim and goal of the organization and the frameworks that are used in the project. As I already have some experience working with Pytorch, tensorflow in my previous project I’m sure I can be useful and productive in contrubuting to DeepChem. Looking forward to work and connect with the mentors and to make my useful contributions for the organization. Thank you

#89

Hi everyone! I am Naman Agarwal, currently pursuing Bachelor’s of technology in computer science and engineering at motilal nehru national institute of technology, Allahabad. I got introduced to AI ML during my 2nd year through some hackathons and my interest in those fields has only grown since. I am just a beginner when it comes to open source contributions and I am really looking forward to learn and contribute to this cause of democratizing access to deep learning tools for drug discovery

#90

Hi there!

I’m Galymzhan M, born and raised in Kazakhstan, currently PhD student in Grzybowski Lab in UNIST and CARS-IBS (Ulsan, South Korea).

I’ve been working on NN-based prediction of suitable reaction conditions for organic reactions, 3D featurization of transition metal catalyst structures, retrosynthesis prediction tools, as well as a little bit of ligand-based drug discovery. Got 2 years (and counting) experience in conducting lab team project, mentoring undergraduate students, and python package development with git version control.

Glad to join DeepChem community!

#91

Hello all! I am Diya Raghuvanshi, currently in 2nd year of my BTech in Computer science. Excited to be here!

#92

My name is Kanak Jaiswal, and I am excited about the opportunity to contribute to DeepChem through Google Summer of Code (GSoC) 2025. I am a master’s student in Artificial Intelligence with a strong background in Artificial Intelligence, Machine Learning, and computational chemistry.

I have hands-on experience with machine learning frameworks such as PyTorch and DeepChem, and I am eager to extend DeepChem’s capabilities by implementing a model that predicts the outcomes of chemical reactions. I have worked on projects involving molecular modeling and data-driven predictions in my coursework and personal projects.

Project idea-
The AI-Powered Chemical Reaction Predictor can be integrated into DeepChem as an update to enhance its capabilities in reaction prediction and retrosynthesis. This feature would involve creating a new module, reaction_prediction, which utilizes deep learning models like Graph Neural Networks (GNNs) and Transformers to predict the outcomes of chemical reactions based on reactant molecules. It will also include reaction datasets (e.g., USPTO, Reaxys) for training and testing the model. Tutorials and documentation will be provided for users to easily train and deploy these models, contributing to faster drug discovery and materials science research. This addition would further position DeepChem as a leader in scientific machine learning for chemistry.