CSE @ IIIT-N'21
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Indian Institute of Information Technology Nagpur
Data Scientist
June 20, 2026 – Present
SoundPixel
January 20, 2022 – February 4, 2022
Control WS2812 RBG LEDs using amplitude of frequencies decoded from audio signal using MSEGQ7.
View ProjectA-SECURE-COMMUNICATION-WITH-Generative-Adversarial-Nets-GANs-of-ADVERSARIAL-NEURAL-CRYPTOGRAPHY
December 11, 2020 – December 11, 2020
PROBLEM STATEMENT We here discuss whether we can employ neural nets to secure our communication channels. We take classic Alice, Bob and Eve example where Alice is trying to send a message to Bob and Eve is eavesdropping. Instead of using rigid symmetric encryption algorithms like AES, DES, we will create an adversarial neural network where Alice will be trained to encrypt using a shared key, Bob will be trained to decrypt using a shared key and Eve will be trained to reconstruct the message without a shared key.
View ProjectBioInformaticsLab
September 7, 2020 – September 22, 2020
Lab works for Subject: BioInformatics
View Projecttransaction_generator
May 7, 2020 – May 8, 2020
Nodejs code for fetching UTXOS, generating metadata data and unsigned transaction.
View ProjectNetworking
April 27, 2020 – April 27, 2020
Making UDP and TCP Object Oriented for ease of use and more
View ProjectDistributedSystems
January 17, 2020 – May 11, 2020
Implementation of Distributed System Algorithms. Lab Works for 6th Semester.
View ProjectCultural Fit Analysis
The candidate's projects show a strong academic and technical focus, particularly in core computer science and cryptography. The 'Data Scientist' role at Indian Institute of Information Technology Nagpur suggests an academic or research-oriented environment. However, the projects are predominantly personal and academic, with limited indication of collaborative or industry-standard practices. The breadth of skills is good for foundational CS, but specific alignment with modern data science tools and practices beyond basic ML concepts is not clearly demonstrated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are provided for evaluation.