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Work Background
Iditarod BioData Scientist (Software Developer)
Sep. 2024 - Jun. 2025Brooklyn, New York, United States- Optimised the Python code and reduced the pipeline execution time by 57%, which also resulted in AWS cost reduction of 53%.
- Implemented compression strategy for large files and configured CloudFront that reduced the loading time of the website from 30 seconds to 800ms.
- Built an ensemble of binary classifiers trained on a million protein structures to distinguish wild-type proteins, then used transfer learning on their embeddings to predict solubility-enhancing mutations.
- Built a vision algorithm on 3D dataset along with integrating existing models into scalable, production-ready systems using AWS.
- Worked with CNNs, MLMs and Diffusion models.
WhizlabsCloud Computing Intern
Feb. 2023 - Oct. 2023Coimbatore, Tamil Nadu, India- Deployed 10+ GCP labs to production (covering GKE and several GCP APIs) and wrote validation code for all the Kubernetes labs in bash.
- Built 2 Internal tools that boosted productivity (from 4 hours to 5 minutes on an average) and decreased GCP billing by 40%.
- Wrote deletion scripts for the new deletion architecture for GCP resources.
- Migrated 60+ Labs to new deletion architecture meeting tight deadlines, resulting in increased security and efficiency.
- Managed GCP Billing and took proactive actions in case of any suspicious activity.
- Solved 30+ production issues and user queries.
- Gave KTs to new interns.
DIC Panjab UniversityResearch Intern
Jun. 2021 - Jul. 2022Chandigarh, India- Worked on a new architecture for Computer-Aided Diagnosis (CAD) of the Kidney.
- 2 x Mentored and taught the mathematical part of Machine Learning and Deep Learning concepts to over 40 students during Summer Training.
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