AI Models Development for Drug Discovery

Hello there. With more than seven years of experience as a senior engineer, I bring to the table a hefty set of skills and knowledge that directly aligns with your project requirements. Having worked on similar projects that required developing machine learning models for molecular property prediction and virtual screening, I am well-versed in using Graph Neural Networks (GNN) and Message Passing Neural Networks (MPNN) specifically in the context of drug discovery like you require. Moreover, my knowledge of molecular dynamics and cheminformatics supplements that effectively. Furthermore, I have hands-on experience with Hugging Face and Ollama; hence, I can efficiently deploy AI models as well as integrate large language models (LLMs) for scientific text analysis, and develop UI/UX components for model visualization, providing an end-to-end solution you can fully rely on. Overall, my passion for innovation combined with my deep understanding of GNNs, MPNNs, drug discovery pipelines makes it an ideal fit for me to create cutting-edge AI models to enhance your drug discovery process. With me on board, expect nothing but quality results delivered in a timely fashion. Let's proceed towards the success of your project together.

Leveraging my solid background in Large Language Models (LLMs), I'm equipped to aid your organization in extracting valuable insights from scientific text analysis, a crucial aspect of your drug discovery project. I have substantial expertise in Graph Neural Networks (GNN) and Message Passing Neural Networks (MPNN) which aligns perfectly with your needs. My competence in Python and experience with PyTorch, TensorFlow, RDKit, and DeepChem makes me a great fit for implementing GNN architectures and developing drug-target interaction and molecular property prediction models. Building robust AI systems requires more than just model development. My proficiency in SQL and NoSQL databases and familiarity with model deployment platforms such as Hugging Face and Ollama will be pivotal in ensuring smooth integration of developed models into APIs and constructing user-friendly UI/UX elements for effortless model visualization and interaction. Moreover, I possess an innate fascination for molecular dynamics and cheminformatics, crucial domains for your project's holistic comprehension. Having deployed machine learning models in production environments in the past , I understand the importance of project timelines. With a drive for delivering results efficiently,you can expect my full commitment towards meeting or even exceeding your expectations within

Hello, Haji M., thanks for posting the job "AI Models Development for Drug Discovery". I have the necessary skills, knowledge and expertise to help you complete your project and have successfully completed projects of very similar complexity 3 weeks ago. I'm available to start immediately and can deliver you of high-quality work with fast speed and efficiency. I'd like to share my work and discuss the project in detail via direct chat or call. Looking forward to working with you! Best regards, William

Hello Haji M., I understand that you are looking for a skilled freelancer proficient in Graph Neural Networks (GNN) and Message Passing Neural Networks (MPNN) for developing AI models in drug discovery and molecular property prediction. I specialize in PyTorch and have experience in designing and implementing GNN architectures for various applications. Please review my portfolio for examples of my work: https://www.freelancer.com/u/sobia49 I am confident in my ability to meet your project requirements and ensure effective communication throughout the process. Best regards, Sobia

Dear , I am a skilled freelancer with expertise in Graph Neural Networks (GNN) and Message Passing Neural Networks (MPNN) for drug discovery and molecular property prediction. I specialize in developing AI models for drug-target interaction prediction, molecular property prediction, and virtual screening. My technical skills include Python, PyTorch, TensorFlow, RDKit, DeepChem, SQL, NoSQL, and model deployment platforms like Hugging Face and Ollama. I have experience in integrating large language models (LLMs) for scientific text analysis and creating API endpoints for model interaction. With a proven track record in deploying machine learning models in production and knowledge of molecular dynamics and cheminformatics, I am confident in delivering innovative solutions for your project. I look forward to collaborating with you on this exciting endeavor. Thank you for considering my proposal. Best regards,

With 7 years of experience in web development, I am confident in delivering high-quality solutions for your project. I have a strong track record of completing projects on time and exceeding client expectations. I am detail-oriented and committed to providing reliable and efficient results. Let's discuss your requirements and bring your vision to life.

Hi, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on Pytorch, Large Language Models (LLMs) Please come over chat and discuss your requirement in a detailed way. Thank You

Hello, I am excited about the opportunity to work on the AI Models Development for Drug Discovery project. With my expertise in Graph Neural Networks and Message Passing Neural Networks, I am well-prepared to design and implement the necessary architectures for drug-target interaction predictions and molecular property prediction. I have hands-on experience in Python using frameworks like PyTorch and TensorFlow, ensuring we can develop robust AI models effectively. Additionally, I can integrate large language models for scientific text analysis and create user-friendly UI/UX components for model visualization. My background includes significant work with database management and model deployment, which aligns well with the requirements of this project. Could you clarify the specific performance metrics you are looking to achieve for the AI models in this project? Thanks, Muhammad Awais

Hello Haji M., I'd like to grab this opportunity and will work till you get 100% satisfied with our work. I am an expert who have years of experience on Pytorch, Large Language Models (LLMs) Please come over chat and discuss your requirement in a detailed way. Thank You

Hello hmupakura, I am Rajat, a seasoned full-stack developer with expertise in an array of programming languages and technologies, including Python and Java. Your project on AI Models Development for Drug Discovery aligns perfectly with my skills and experience. I have a strong foundation in developing AI models and integrating large language models for scientific analysis. My track record of deploying machine learning models in production, combined with my understanding of GNN and MPNN, makes me an ideal candidate for this project. I am confident in my ability to design and implement GNN architectures, develop AI models for drug-target interaction prediction, and create user-friendly UI/UX components for model visualization. I am excited about the opportunity to collaborate on this project and would love to discuss

As a Full-Stack Developer, I bring a wide range of skills and experiences perfectly aligned with your project's needs - Deep Learning, ML (Machine Learning), Reinforcement Learning, and much more. My proficiency in Python paired with hands-on expertise in PyTorch aligns me impeccably to the technical requirements of this job, particularly for the development of AI models for molecular property prediction, virtual screening, and drug-target interaction prediction. Leveraging my familiarity with Hugging Face, Ollama, TensorFlow and RDKit alongside my knowledge of Molecular Dynamics and Cheminformatics, you can count on me to integrate large language models efficiently (LLMs) for scientific text analysis and create smooth API endpoints for your model interactions. I am also adept at Database Management using both SQL and NoSQL which would serve well for your project's needs. Additionally, having deployed numerous machine learning models in production throughout my career, I have gained invaluable insight into ML model deployment and excellent problem-solving skills. This experience extends to working with drug discovery pipelines and virtual screening processes which makes me uniquely suited to handle this project. With me on board, the completion of your AI Model Development for Drug Discovery is assuredly in good hands. Let's collaborate!

Hello, AI Expert with GNN and MPNN Expertise Ready to Collaborate! I’ve carefully reviewed your project requirements, and it’s clear that you’re seeking a skilled professional to develop cutting-edge AI models for drug discovery and molecular property prediction. My expertise in Graph Neural Networks (GNNs), Message Passing Neural Networks (MPNNs), and their application in cheminformatics makes me a perfect fit for this role. ***Relevant Experience: -GNN & MPNN Expertise: Designed custom GNN architectures for molecular property prediction and drug-target interaction studies, leveraging tools like PyTorch and DeepChem. -Drug Discovery Pipelines: Worked on virtual screening and molecule optimization using AI-based predictive models. -Integration of LLMs: Implemented Large Language Models (LLMs) for analyzing scientific text data, improving insights for research applications. -Molecular Tools: Proficient in using RDKit for cheminformatics tasks and molecular dynamics workflows. API Development & Visualization: Developed user-friendly APIs and interactive UI components to visualize model predictions, ensuring seamless interaction. I am detail-oriented, collaborative, and passionate about leveraging AI for impactful applications in drug discovery. With a clear focus on innovation and timely delivery, I’m excited to bring value to your project. Let’s discuss your vision further—I’m eager to contribute! Best Regards, Michael

AI Expert with Proven Skills and Experience in GNN/MPNN is HERE!!! Hello. I'm very pleased to have the opportunity to apply on your project. I have 8 years of experience in AI/ML and have extensive experience in GNN/MPNN, PyTorch Geometric, DGL. I have experience in drug-target interaction prediction, traffic prediction tasks using GNN/MPNN models and ChEMBL, BindingDB. I'm proficient in PyTorch, TensorFlow, RDKit, DeepChem and I'm expertised in Restful API, Flask, Django, Fast API. I also have extensive experience in Hugging Face Model Hub and Ollama. I have read your project description carefully and understood your requirement correctly. -Design and implement GNN/MPNN architectures and models training and model evaluation and validation. -Integration of LLMs and virtual screening strategy development -API development and deployment of models -User Interface development I can show you my work results that can demonstrate my skills and experience. I'm confident to complete this project perfectly based on my skills and experience. If I have the opportunity to work on your project, I'll do my best to complete this project perfectly. Thanks for considering my proposal.

Hello, I am a skilled AI engineer with extensive experience in Graph Neural Networks (GNN) and Message Passing Neural Networks (MPNN), specializing in their application to drug discovery and molecular property prediction. I am confident in my ability to design and implement cutting-edge models for drug-target interaction prediction, molecular property prediction, and virtual screening. I am excited to bring an innovative approach to this project and ensure its timely completion within the preferred 1-3 month timeline. Looking forward to collaborating with you! Best regards,

Hello, I specialize in GNNs, MPNNs, and AI applications in drug discovery with expertise in PyTorch, TensorFlow, RDKit, and DeepChem. I’ve deployed ML models in production and have hands-on experience with virtual screening and cheminformatics tools. Let’s discuss how I can deliver this project within 1-3 months.

I am AI models developer with deep expertise in GNN and MPNN and have extensive experience in drug discovery and molecular property prediction. I can design and implement GNN architectures and develop AI models for drug-target interaction prediction, molecular property prediction, and virtual screening. My proficiency in Python, PyTorch, TensorFlow, RDKit, and DeepChem, along with strong database management skills, makes me an ideal fit for this project.

Hello, PYTHON I have over 8 years of experience in machine learning and deep learning, I specialize in Graph Neural Networks (GNN) and Message Passing Neural Networks (MPNN) for applications in drug discovery and molecular property prediction. I have hands-on expertise with tools like PyTorch, TensorFlow, RDKit, and DeepChem to build and deploy models for drug-target interaction prediction and molecular screening. I can also integrate large language models for scientific text analysis, develop API endpoints, and design intuitive UI/UX components for visualization and model interaction, ensuring a seamless and innovative solution. Lets chat so that I can better understand the technical aspects of the project. Anurag

Hello, I have 8 years of extensive experience in machine learning and deep learning, particularly in Graph Neural Networks (GNN) and Message Passing Neural Networks (MPNN), I am well-equipped to develop advanced AI models for drug discovery. I have hands-on expertise in Python, PyTorch, TensorFlow, and cheminformatics tools like RDKit and DeepChem, enabling me to design and implement models for drug-target interaction prediction, molecular property prediction, and virtual screening. I will integrate large language models (LLMs) for scientific text analysis, create seamless API endpoints for model interaction, and develop intuitive UI/UX components for visualization. My approach ensures efficient model deployment and scalability using platforms like Hugging Face and Ollama. With a strong background in database management (SQL/NoSQL) and previous success in deploying machine learning models in production, I am confident in delivering impactful solutions for your drug discovery initiatives within the preferred timeline of 1-3 months. Thanks, Siya Technology

As an accomplished DevOps engineer with a deep understanding of AI and machine learning, I am well-equipped to handle the architectural and operational aspects of your project. My extensive experience working with LLMs to analyze scientific texts will be invaluable in developing your drug discovery models. Moreover, my proficiency in Python, PyTorch, TensorFlow, RDKit, and DeepChem enables me to design and implement not just GNN architectures but also lay a strong foundation for molecular property prediction and virtual screening. I have a proven record of deploying machine learning models in production. My knowledge of model deployment platforms like Hugging Face and Ollama ensures that your models will be efficiently integrated into the overall system. Alongside, my strong database management skills directly align with your requirements of proficiency in both SQL and NoSQL databases. Lastly, I bring an innovative approach to all my projects and this endeavor will be no different. I am highly passionate about leveraging AI solutions for drug discovery- they hold immense potential to transform lives. I’m excited to combine my skill set with your project's requirements for effective GNN and MPNN implementations. May we begin this inspiring journey toward new breakthroughs in the world of drug discovery together?

I propose to deliver a high-performing solution leveraging expertise in Generative AI, Machine Learning, and Deep Learning. This includes designing and optimizing AI models, implementing scalable algorithms, and ensuring integration with existing workflows. My strong experience in Python, TensorFlow, and handling large datasets ensures robust and innovative results. I look forward to contributing to the success of this project.