
Senior Software Engineer at Qualcomm.
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Assessing your cultural and operational fit
Qualcomm
Data Scientist
June 16, 2026 – Present
sumo-v2x
September 16, 2023 – September 18, 2023
A gym environment to simulate Vehicle-to-Vehicle and Vehicle-to-Infrastructure interactions (V2X)
View ProjectpySDR
October 26, 2020 – December 30, 2020
An open source python library to interface with RealTek Software Defined Radios (RTL-SDR).
View ProjectpyComm
October 10, 2020 – October 11, 2020
An open source library to implement deep learning based end to end digital communication system using simulations.
View Projectupgraded-octo-lamp
July 17, 2019 – October 12, 2021
An autonomous driving simulator for modelling Vehicle to Infrastructure (V2I) conditions.
View ProjectRecurrent-Deep-Q-Learning
October 13, 2018 – June 9, 2020
Solving POMDP using Recurrent networks
View ProjectDeep-Learning-Optimization-Algorithms
June 21, 2018 – June 21, 2018
Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.
View ProjectMachine-Learning-Sebastian-Notes
July 22, 2017 – September 9, 2017
Chapter Wise Notes and codes of Book "Python Machine Learning by Sebestian Raschka".
View ProjectSave-me-AI
July 1, 2017 – July 3, 2017
Implementation of Deep Q-Learning to Learn how to play a simple game written in python.
View ProjectHand-Written-Digit-Recognition
June 15, 2017 – July 27, 2017
Detecting digits on the image using Convolution Neural Networks
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong interest and initiative in advanced AI/ML topics, which suggests a proactive and curious mindset. The diversity of projects, from deep Q-learning to SDR interfacing, indicates a broad technical curiosity. The current role at Qualcomm as a Data Scientist aligns well with the target role, suggesting a good fit for a data-driven culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.