Anshuman Srivastava
Charlotte,United States
Summary
Motivated student pursuing a Master's degree in Computer Engineering. Currently working as a Graduate Research Assistant in the field of Electrical and Computer Engineering.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Graduate Research Assistant
University Of North Carolina At Charlotte
11.2023 - Current
Embedded Systems Trainee
Centre for Development of Advanced Computing (CDAC)
06.2022 - 08.2022
- Developed a face recognition system using Raspberry Pi, capable of differentiating between a live person and their image/video using 'Blink Detection' and 'Object Detection'
- Presented a research paper on the above-mentioned project in the IEEE International Conference on Computer, Electronics and Electrical Engineering and Their Applications 2023
Data Science and Machine Learning Intern
QMONK
09.2021 - 11.2021
- Gained knowledge of python basics and deep learning
- Used machine learning algorithm to develop a car price predictor model
Design and Automation Intern
National Instruments
08.2020 - 09.2020
- Gained hands on experience in virtual instrumentation, simulation and industrial automation
- Designed and simulated virtual ATM machine and Robotic Arm on LabView platform
Education
Master of Science - Computer Engineering
University of North Carolina At Charlotte (UNCC)
05.2025
Bachelor of Technology - Electronics and Communications -
JSS Academy of Technical Education, Noida
06.2022
Skills
- Languages: C, Embedded C, Python, Java
- Tools and Platforms: Raspberry Pi, RsCAD, MSP430, Linux, Scilab, Orcad, Optisystem, Arduino
- Technologies: Machine Learning, IoT, MQTT
Certification
- Coursera: 1. Introduction to Embedded Systems and IoT, 2. Arduino platform and C programming 3. Interfacing with Arduino
- CISCO: Introduction to IoT
- IIT Bombay: Python training from spoken tutorial
Projects
1. Analyzing the performance of 120 Gbps single channel coherent DP-32-QAM transceiver in free space optical (FSO) link under different weather conditions: Implementing a 32 QAM in optisystem simulation platform with homodyne detection and Digital Signal Processing (DSP) at the receiver.
2. Face Recognition System with Liveness Detection: designed a face recognition system, using Raspberry Pi, capable of differentiating between a live person and their image/video using 'Object detection' and 'Blink detection'.
3.Live streaming of camera on a remote device: designed and implemented a live camera streaming system using Raspberry Pi which sends the camera feed to any remote device on your network.
4.Line Following robot: A robot which moved along a certain path specified by the programmer and involved the use of various sensors and actuators along with a microcontroller.
5.Car price predictor: Using machine learning algorithms, I developed models to predict price of the used cars
Organizations
Slum Swaraj Foundation, Noida, Uttar Pradesh, India 09/2019 - 05/2023
Was an active member of the Slum Swaraj Foundation which aimed at uprooting the social evils by spreading literacy to the impoverished.
Timeline
Graduate Research Assistant
University Of North Carolina At Charlotte
11.2023 - Current
Embedded Systems Trainee
Centre for Development of Advanced Computing (CDAC)
06.2022 - 08.2022
Data Science and Machine Learning Intern
QMONK
09.2021 - 11.2021
Design and Automation Intern
National Instruments
08.2020 - 09.2020
Master of Science - Computer Engineering
University of North Carolina At Charlotte (UNCC)
Bachelor of Technology - Electronics and Communications -
JSS Academy of Technical Education, Noida
- Coursera: 1. Introduction to Embedded Systems and IoT, 2. Arduino platform and C programming 3. Interfacing with Arduino
- CISCO: Introduction to IoT
- IIT Bombay: Python training from spoken tutorial
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