I am Shubham Kumar, a M.Tech student in Computer Science and Engg.(Computer Systems) at IIT Gandhinagar, working under the supervision of Prof. Abhishek Bichhawat. Prior to this, I completed my B.Tech in Computer Science and Engg. at Mahatma Gandhi Central University, Bihar. I am currently a member of the FUSS Research Group. Alongside my academic work, I serve as a Teaching Assistant for undergraduate courses, for which I have been awarded an institute fellowship.
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• Developed a language identification model capable of automatically detecting 22 Indic languages from text written in both native scripts and romanized form.
• Utilized a Transformer-based model to convert sentences into numerical embeddings for effective representation learning.
• Trained the model to align embeddings of native and romanized text of the same language, improving cross-script understanding.
• Further fine-tuned the model to classify sentences into one of the 22 Indic languages with high accuracy.
Framing questions for test series and daily problem solving, helping students understand concepts through practice in Computer Architecture and Compiler Design.
ES119 : Principles of AI (Jan 2026 - April 2026)
ES242 : Data Structures and Algorithms (Aug 2025 - Nov 2025)
JEE MAIN 2021 QUALIFIED
GATE CSE 2024 : RANK 10545 , SCORE 418
GATE CSE 2025 : RANK 805 , SCORE 737
GATE CSE 2026 : RANK 1308 , SCORE 689
UGC NET COMPUTER SCIENCE AND APPLICATIONS (July 2025) : 99.88 PERCENTILE , UGC NET JRF AWARDED
TOPPER IN COURSE LITERATURE AND LIFE : TOP 5%