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Researcher having keen interest on Hardware Accelerators for AI/ML.
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IIT Bhubheneswer
Data Scientist
June 13, 2026 – Present
3D-Models
September 13, 2025 – September 13, 2025
This repo contains all 3D models mould for Sensors such as radar AWR1843boost, pi cam v2, thermal pure 2 used for data collection for the master thesis.
View ProjectPython
December 17, 2024 – December 23, 2024
This repo contains my Python works during learning...
View ProjectZYBO-Z7010
August 31, 2023 – September 18, 2024
This repository is for my work on ZYBO-Z7010 FPGA board.
View ProjectB.Tech-Projects
August 14, 2023 – December 1, 2024
This work has been done during my 3rd year 2nd sem of B.tech for mini project course. In which I have implemented Image processing techniques on FPGA board Zynq zc706 evolutionary board through Hardware-Software Co-Simulation. I have used Xilinx System Generator as a tool to build algorithm.
View ProjectFPGASpeaks
August 5, 2023 – July 22, 2025
FPGAspeaks is a community, created to exchange knowledge in some of the basic domains of VLSI i.e Digital System Design, Verilog HDL, Hardware implementation on FPGA board specifically Zynq ZC706. Aim is to help people gain Hands-on-experience .
View ProjectFWC
May 16, 2023 – July 25, 2023
This work was done during my summer Internship @IIT Hyderabad in Future Wireless Communication.
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on VLSI, FPGA, and hardware-software co-simulation, which is a niche area. While there are Python and Data Science related projects ('Masters-Thesis', 'mmWave'), the overall portfolio leans heavily towards hardware. This might indicate a different primary interest than a pure Data Scientist role, potentially affecting cultural fit within a software-centric data science team. The current role as 'Data Scientist' at IIT Bhubheneswer is a positive indicator, but without further details on responsibilities, it's hard to fully align.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style.