CV

Education

• B.S. in Physics, Calcutta University, 2015
• M.S. in Biotechnology, Jadavpur University, 2017
• Post Graduate Diploma in Big Data Biology, IBAB Bangalore in collaboration with International Institute of Information Technology Bangalore, 2020

Work experience

• Samsung Semiconductor India Research 03/2022 - present: Associate Staff Engineer, Machine Learning

• Eversana 03/2021 - 02/2022: Associate Data Science - Data & Analytics

• Buddhimed Technologies 01/2020 - 03/2021: Data Analyst - Data Science

Skills

• Reinforcement Learning
• NLP
  • Large Language Models(GPT, Falcon, Llama, Cerebras, etc)
  • Quantization Techniques
  • Word Embedding (word2vec- skip-gram, Cbow, negative sampling, glove)
  • Attention models, Encoder-Decoder models, and Transformer
  • Vector Space Models, Similarity Search
• Machine Learning
• Data Analytics
• Deep Learning frameworks: Pytorch, Tensorflow, and Keras

Publications

A scalable solution to AlphaZero based Redundancy Analysis for semiconductor chips

METHODS AND ELECTRONIC DEVICE FOR REPAIRING MEMORY ELEMENT IN MEMORY DEVICE

ACHIEVEMENTS

• 1st Rank holder with the Best Student award for completing Post Graduate Diploma in Big Data Biology with the highest CGPA ( 3.79 / 4 )
• Best Paper in Techcon 2023 in Machine Learning and Artificial Intelligence at Samsung Semiconductor India Research
• 2nd Best Demo Booths Award at IEEE Wintechcon 2024, represented Samsung Electronics
• Qualified Graduate Aptitude Test in Engineering (GATE) with 93 percentile AIR 700.