I'm Mogankumar Narsozhan

A Graduate student in Computer Science | AI Enthusiast | Software engineer

Hey there!

I specialize in building solutions using Machine Learning, AI, and scalable system design. I aim to create innovative, reproducible, and impactful solutions that solve real-world challenges and contribute to the broader technology community. Currently pursuing my Master’s in Computer Science at the State University of New York at Buffalo, I have a strong focus on AI, data analytics, and software development.

  • Location: Buffalo, New York, USA
  • Status: Available

Specialization & Skills

AI solutions for real-world problems. Also well-versed in Software Development and Linux.

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Machine Learning

Python(Numpy, Scikit learn, Pandas, TensorFlow, Keras) | ML Algorithms | Supervised/Unsupervised learning | Reinforcement learning | NN & CNN | Image processing | Object detection | Facial recognition

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Software Development

Python3 programming language | MySQL | Data Structures and Algorithms

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Linux

Linux/UNIX commands | Openstack(cloud) | Networking(TCP/IP) | Network Functions Virtualization

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Security

NAGIOS | Hypervisors(VMware and Oracle VMbox) | Containers | Ubuntu

Education

SUNY Buffalo

State University of New York at Buffalo, NY, USA

Masters in Computer Science (AI Track) | 2024 - Present

GPA: 3.583/4

Completed courses: Introduction to Machine Learning, Data Intensive Computing, Algorithms Analysis and Design

Current courses: Intro to Pattern Recognition, Deep learning, Operating systems, Data Modelling Query Language

NIT Puducherry

National Institute of Technology, Puducherry, India

Bachelor of Technology, Electrical and Electronics Engineering | 2019 - 2023

GPA: 8.63/10

GitHub Projects

Reinforcement Learning

Deep Learning

Reinforcement Learning

Implemented reinforcement learning techniques such as SARSA and Q-Learning to build a firefighter simulation environment for dynamic problem-solving.

CODE

Virtual Mouse

Object Detection

Virtual Mouse

A Python-based Virtual Mouse that uses hand gestures for cursor control, clicking, scrolling, and taking screenshots. Powered by OpenCV, PyAutoGUI, and MediaPipe for a touch-free experience.

CODE

Bird Flock Simulation

Big Data Analytics

Bird Flock Simulation

Designed and implemented a bird flock simulation using PySpark to model complex behaviors in distributed systems, showcasing the scalability of big data processing frameworks.

CODE

Face Recognition System

Computer Vision

Face Recognition

Developed a facial recognition system using SVM and OpenCV for accurately identifying individuals from photographs. Included techniques for image preprocessing and feature extraction.

CODE

Neural Networks & CNN

Deep Learning

Neural Networks & CNN

This project focuses on building fully connected neural networks (NN) and convolutional neural networks (CNN).

CODE

Work Experience

Hewlett Packard Enterprise

SVC Info Developer | Full-time | August 2023 - May 2024

  • Assisted in creating RedHat Package Managers using Network Functions Virtualization Director (NFVD), HP Service Activator, and Workflow Designer and installed various versions, patch bundles, and hotfixes.
  • Executed the migration of Samsung EnterpriseDB to PostgresDB.
  • Experience: Linux Commands, Openstack, Docker, Networking (TCP/IP)

Hewlett Packard Enterprise

Cybersecurity Engineer | Internship | January - July 2023

  • Performed Breach and Attack Simulation (BAS): a proactive security approach that tests the organization's security posture and fixes vulnerabilities by simulating real-world attacks.
  • Monitored all the services, hosts, databases, and data centers, using NAGIOS XI, which are associated with a particular project, and resolved any issues that occurred
  • Experience: Hypervisors (Virtual Machines, VMWare), Docker, and Ubuntu.

Zebo.ai

ML Intern | Internship | October - November 2022

  • An intermediate level of Python was studied for the training, testing, and cross-validation of data followed by the features and labels pickling, scaling, techniques, and Error Metrics.
  • Implemented many Machine Learning algorithms.
  • Experience: Python, Machine Learning Algorithms, Data Structures.

Contact Me

If you'd like to collaborate or learn more about my work, feel free to reach out!

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Email

mogankum@buffalo.edu

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LinkedIn

Mogankumar Narsozhan