Kunal Sharma

Kunal Sharma

Research Intern

Followers of Kunal Sharma1000 followers
location of Kunal SharmaActon, Australian Capital Territory, Australia

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  • Timeline

  • About me

    Data Scientist (Software Developer) @Iditarod Bio | Ex-Whizlabs 🌥️ | 2xAWS + 2xGCP Certified ✅ | Deep Learning 🤖 | CSE @ UIET Panjab University 🎒

  • Education

    • Swami Sant Dass Public School

      2018 - 2020
      Senior Secondary (CBSE) Non-Medical (Computer Science) 12th

      Aktivitas dan Kegiatan Sosial:- Debate Competition - Declamation - Extempore Percentage: 96.6%

    • St. Joseph's Convent School

      2008 - 2018
      Secondary (ICSE) 10th

      Aktivitas dan Kegiatan Sosial:- Vice Head Boy - ICSE Zonal Level Debate Winner - Extempore Winner - Cricket Team Captain Percentage: 94.4%

    • UIET Panjab University

      2020 - 2024
      Bachelor of Engineering - B.E. Computer Science and Engineering 9.04/10
  • Experience

    • DIC Panjab University

      Jun 2021 - Jul 2022
      Research Intern

      - 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.

    • Whizlabs

      Feb 2023 - Jan 2023
      Cloud Computing Intern

      - 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. Lihat lebih sedikit

    • Iditarod Bio

      Sept 2024 - now
      Data Scientist (Software Developer)

      - 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.- Working with CNNs, MLMs and Diffusion models.- Handling large 3D datasets, feature engineering, and model optimization to deliver high-impact solutions.- Integrating existing and newly built models into scalable, production-ready systems using cloud services (AWS) Lihat lebih sedikit

  • Licenses & Certifications