Passionate about leveraging computational methods to advance drug discovery and single-cell genomics. Currently pursuing my MS in Bioinformatics with hands-on experience in multi-omics analysis and pharmaceutical R&D.
Single-cell multi-omics integration combining scRNA-seq, ATAC-seq, VDJ-seq, and spatial transcriptomics to dissect tumor-immune microenvironments. Focused on GBM biology and immunological cell state characterization to drive drug target discovery and therapeutic insights.
Current Work
Mapping the GBM tumor immune microenvironment via scRNA-seq, ATAC-seq, and spatial transcriptomics for drug target discovery. Developing RxBiome, a pharmacomicrobiomics drug discovery platform. Building an LLM-powered VS Code extension for reproducible bioinformatics, and containerized Nextflow pipelines for HPC-scale multi-omics analysis.
Industry Experience
Bioinformatics Software Engineer intern at Boehringer Ingelheim (May–Nov 2025), processing 500GB+ multi-modal NGS datasets and writing 8K+ LOC production Python code with 95% test coverage deployed on OpenShift and AWS.
What I'm Looking For
Full-time roles in bioinformatics, computational biology, or drug discovery starting May 2026. Interested in leveraging single-cell genomics, multi-omics integration, and immunology to advance therapeutic target identification. Open to industry, pharma, biotech, and research institutions.
Bioinformatics Software Engineer · Digital Transformation Intern
May 2025 – Nov 2025 · Ridgefield, CT
Built end-to-end bioinformatics pipelines in Python processing large-scale multi-modal NGS data with 95% test coverage and automated QA protocols
Deployed production tools on cloud CI/CD infrastructure; contributed consistently to Agile/Scrum development cycles including code and design reviews
Processed and curated single-cell datasets to support cross-functional collaboration between computational scientists and immunologists
Georgia Institute of Technology
Graduate Research Assistant · Bhasin Lab
Aug 2024 – May 2025 · Atlanta, GA
Built scalable single-cell pipelines integrating scRNA-seq, scATAC-seq, and spatial transcriptomics across hundreds of samples on HPC/SLURM infrastructure
Applied ensemble ML methods (Harmony, scVI, Seurat) for batch correction and cell type classification, uncovering novel tumor-immune interactions
Applied dimensionality reduction, clustering, and gene regulatory network inference to characterize immune cell populations across large-scale single-cell atlases
Eminent Biosciences
Bioinformatics Analyst
Jun 2023 – Aug 2024 · Indore, India
Engineered high-throughput cheminformatics workflows processing large compound libraries for virtual screening, molecular docking, and in-silico ADMET analysis for drug candidate prioritization
Developed automated RNA-seq analysis pipelines using Python and R (DESeq2, edgeR) with standardized QC protocols across 100+ samples for biomarker discovery applications
Built multimodal deep learning models (PyTorch, scikit-learn) integrating genomic and imaging features, achieving 89% prediction accuracy for therapeutic target identification
Symbiotech Pharmalab Pvt. Ltd.
Industrial Trainee · Microbiology Lab
Jun 2022 – Aug 2022 · Rau, India
Maintained, reviewed, and corrected Standard Operating Procedures (SOPs) to ensure compliance with laboratory protocols and quality standards
Prepared and validated reagents and solutions for routine microbiology workflows and experimental assays
Gained hands-on training with laboratory instrumentation and equipment in a pharmaceutical production environment
Georgia Institute of Technology
M.S. Bioinformatics · GPA 9.8/10.0
Aug 2024 – Expected May 2026 · Atlanta, GA
Relevant Coursework: Machine Learning in Computational Biology, Computational Genomics, Applied Bioinformatics & Genomics, Biostatistics, Drug Discovery, Health Informatics, Reproducible Bioinformatics, Database Systems, Human Evolutionary Genomics, Data & Visual Analytics
Dr. D.Y. Patil Biotechnology & Bioinformatics Institute
B.Tech/B.Sc. Biotechnology · GPA 4.0/4.0
2020 – Jun 2024 · Pune, India
Relevant Coursework: Cancer Biology, Immunology, Molecular Modelling & Drug Design, Structural Biology, rDNA Technology, Stem Cell Technology, Cell Biology, Biochemistry, Microbiology — with hands-on wet lab training across all core disciplines
Skills · Slides
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SPECIMEN SLIDES
Publications & Presentations
Let's work together
Open to full-time roles and research collaborations starting May 2026!
