Sushant Jain

About

Journey from Data Engineering to Data Science.
For 2 decades I worked on multiple programming languages spanning horizontally across horizon.
Moved to Big data and worked on creating big data pipelines and enabled micro services architecture.
For past some years, I have been working and exploring data science, machine learning and deep learning.
My areas of interests and learning are primarily working on Image Procssing and Computer Vision.
Worked on multiple techs using Snowflake, pytorch,tensorflow etc. etc.
Still learning....

Employment

• Hughes Systique Private Limited Director Engineering
  2006 - Present
• University of Delhi

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• FS-ProtoNet: Enterprise Network Security Using Few-Shot Learning with Prototypical Networks
  2025 IEEE International Conference on Recent Advances in Computing and Systems (REACS) 2025 DOI: 10.1109/reacs67479.2025.11413551
  +Save
• An Ultra-Compact CNN for Real-Time Offline Indian Currency Classification on Mobile Devices
  2025 IEEE 2nd International Conference for Women in Computing (InCoWoCo) 2025 DOI: 10.1109/incowoco68239.2025.11407001
  +Save
• Enhancing Cosine Similarity: A Unified Approach to Reduce Common Entity Bias in Sentence Similarity
  2025 3rd International Conference on Data Science and Network Security (ICDSNS) 2025 DOI: 10.1109/icdsns65743.2025.11168662
  +Save
• Navigating the face recognition: unleashing the power of few-shot learning through metric-based insights
  Multimedia Tools and Applications 2024 DOI: 10.1007/s11042-024-18671-5
  +Save
• Exploring Face Recognition: A Comparative Study Using Loss-Based Methodologies
  2023 IEEE 2nd International Conference on Data, Decision and Systems (ICDDS) 2023 DOI: 10.1109/icdds59137.2023.10434764
  +Save
• Optimizing performance of Real-Time Big Data stateful streaming applications on Cloud
  2022 IEEE International Conference on Big Data and Smart Computing (BigComp) 2022 DOI: 10.1109/bigcomp54360.2022.00010
  +Save