Research Engineer | AI & Machine Learning Specialist
Leveraging a strong mathematical foundation and extensive experience in bioinformatics to build cutting-edge AI solutions, driving innovation in biomedical research since 2020.
I am a dedicated Research Engineer with a deep passion for applying Machine Learning and Artificial Intelligence to solve complex real-world problems, particularly within the biomedical domain. My journey into AI began in 2020, driven by a fascination with data-driven discovery, which I pursued alongside my Bachelor’s degree in Mathematics from St. Xavier's College, Mumbai. This strong quantitative background provides a robust foundation for my work in ML.
For 3.5 years (Sep 2021 - Mar 2025), I contributed significantly at the National Institute of Biomedical Genomics (NIBMG), initially as a Senior Project Consultant and later as a Bioinformatics Research Engineer. My role focused on integrating advanced ML techniques, including Deep Learning (TensorFlow, PyTorch) and Graph Neural Networks, into cancer genomics research.
I thrive on tackling challenging projects, from developing patent‑pending models for patient risk stratification using pathology images (PIONEER) to creating novel multi‑omics integration methods with Graph Attention Networks (presented in Hamburg). I am also the creator of the Machine Learning Copilot Agent, an AI tool designed to automate ML workflows.
My goal is to continue pushing the boundaries of AI and contribute to impactful research and technological advancements.
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(inc. Geometric)
(Foundation)
National Institute of Biomedical Genomics (NIBMG), Kalyani, India
Contributed to the National Supercomputing Mission (NSM) Platform for Genomics and Drug Discovery.
Key Responsibilities:
Key Achievements:
© 2024 Vatsal Patel. All rights reserved.
An AI‑driven agent (GPT‑4o + LlamaIndex) automating ML classification workflows via natural language commands and real-time code execution.
Patent Pending
Novel vision foundation model aligning immune-multi-omics features with histopathology images (WSI) to predict high-risk HNSCC patients (AUC > 0.80).
Role: ML Engineer (Equal Contribution)
Presented: Helmholtz AI Conf. 2023
Integrated multi‑omics data using GATs for risk stratification (AUC ~0.98) and biomarker identification in HNSCC.
Portable RAG system using LLMs for biomedical knowledge extraction from user-defined literature. Includes GUI.
M.Sc. Thesis Project (Grade: 1.0)
LLM agent executing real‑time OpenWeather API calls via Langchain, with a Gradio chat interface.
An ensemble machine learning-based performance evaluation...
Jan 2025 (Contributing Author)
Multi-faceted dysregulated immune response for COVID-19...
Dec 2023 (Contributing Author)
Deep Learning Model to automate the process of mapping cancer cells...
Aug 2021 (First Author)
Convergence of Gradient Descent after Homeomorphic Transformation.
June 2021 (First Author)
Graph Attention Networks for Biomedical Insights...
In Academic Review / Preprint (First Author)
View on Zenodo Leveraging Retrieval-Augmented Generation with Large Language Models...
In Preparation (First Author)
Machine Learning Copilot Agent.
In Preparation (First Author)
Building expertise since 2020
Professional Certificate (4 Courses)
Issued: July 2020
Verify Certificate Specialization (5 Courses)
Issued: July 2020
Verify Certificate Specialization (3 Courses - Imperial College London)
Issued: Sep 2020
Verify Certificate IU International University...
Grade: 1.9 / 4.0...
Thesis Grade: 1.0...
St. Xavier's College, Mumbai...
CGPA: 9.31 / 10.0
St. Joseph E.T High School...
Percentage: 80%
St. Joseph E.T High School...
Percentage: 80%
I'm always open to discussing new projects...