Shubham Mahindrakar
@shubhammahindrakar
I build AI-driven bioinformatics pipelines and multimodal models for precision medicine.
IndiaWhat I'm looking for
I'm architecting EFREI Lab's ONCO-JEPA multimodal deep-learning platform for lung cancer, using Docker and Agentic AI to integrate heterogeneous clinical data. I also transform single-cell RNA-seq data into pseudobulk profiles in R to identify high-confidence differential-expression signatures.
Previously, I developed a Government of India Virtual Labs RNA secondary-structure prediction tool using Zuker's Algorithm and built a coronary heart disease risk-classification model from large clinical datasets. My work spans multi-omics integration, automated bioinformatics workflows, deep learning, biomarker discovery, and clinically actionable transcriptomic analysis.
Experience
Work history, roles, and key accomplishments
AI-Bioinformatics Research Intern
EFREI Lab
Jan 2026 - Present (7 months)
Architecturing the ONCO-JEPA multimodal deep learning platform for lung cancer (NSCLC) using Docker and Agentic AI to integrate heterogeneous clinical data. Executed single-cell to pseudobulk RNA-seq transformations in R to extract high-confidence differential expression signatures from noisy datasets.
Education
Degrees, certifications, and relevant coursework
Amrita School of Biotechnology
Master of Science, Bioinformatics
2024 -
Grade: CGPA 8.53
Pursuing a Master of Science in Bioinformatics with a focus on multi-omics integration and deep learning applications in precision medicine.
Availability
Location
IndiaAuthorized to work in
Portfolio
github.com/ShubhamBioITJob categories
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