Hi, I'm Heli Patel

Welcome to my professional space! I'm a Master's graduate in Computer Science with a deep passion for creating innovative software solutions and exploring advanced technologies like artificial intelligence, data science, and cloud computing.

With hands-on experience in Cloud Computing, software development, and Machine Learning, I strive to harness these skills to drive impactful contributions in the tech industry. Let's build the future together!

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About Me

My introduction

I am passionate about technology and an avid reader.

5+ Cloud & AI
Certifications
10+ Projects
12+ Months
experience
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Education

My personal journey
Education

Bachelor of Technology, Information Technology

CGPIT, Gujarat, India
2016 - 2020
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IT Undergrad Summary :

  • Subjects studied: DSA, Design analysis and algorithm, Operating systems, and Computer Networks, Machine intelligence, Cloud Computing

  • Scored 9.54 CGPA

Masters of Computer Science

Carleton University, Ottawa, Canada.
2021 - 2023
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Summary :

  • Studying advanced topics of Computer Science such as, Virtual Assistant, Machine Learning, Software Usability

  • Scored an aggregate of 3.64 GPA.

  • Worked as a Graduate teaching assistant for COMP3000 - Operating Systems and COMP4001 - Distributed Computing.





Work Experience

My work journey
Work

InfoSec Analyst

Powerfactors
Canada
2023
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Work Summary :

  • AppSec: Ensured up-to-date libraries and software, identifying and mitigating vulnerabilities in applications.

  • SecOps: Managed security incidents, implemented new security policies, and conducted retrospective analyses to improve security posture.

  • AWS Security: Experimented with AWS EKS (Elastic Kubernetes Service) to set up security alerts for detecting and responding to malicious images.

  • Audit Support: Assisted in SOC 1 and SOC 2 audits, ensuring compliance with industry security standards and controls.

Cloud Engineer Intern

SAP
Canada
2022/01 - 2022/09
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Summary :

  • Resolved Complex Incidents: Troubleshot and resolved critical issues related to database migrations, service disruptions, and network connectivity, ensuring minimal downtime and swift recovery.

  • Enhanced Infrastructure Reliability: Collaborated with cross-functional teams to implement fixes, significantly improving system reliability and seamless integrations.

  • Mastered New Technologies: Quickly acquired expertise in Jira, ServiceNow, Dynatrace, SRE practices, and DevOps principles, thriving in a high-pressure, fast-paced environment.

  • Led Incident Management: Spearheaded root cause analysis and incident management processes, preventing recurring issues and enhancing system stability.

  • Built Strong Engineering Foundations: Deepened knowledge in networking, DNS, virtualization, containers, and operating systems, strengthening overall systems engineering expertise.

Software Engineer Intern

Logicwind, India
2019/12 - 2020/05
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Summary :

  • API Development: Built and maintained RESTful APIs with Node.js, Express.js, and MongoDB.

  • Version Control: Managed code repositories with Git and GitHub for effective collaboration.

  • Code Quality: Participated in code reviews and testing to ensure robust, high-quality software.

Skills

My technical experience

Programming Languages

Java

JavaScript

Python

R

IT Constructs

Database Management System

DS & Algorithms

OOP

OS

Technologies

Git

Kubernetes

AWS/Azure

Tensorflow

NodeJs

MongoDB

MySQL

Projects

Most recent work

Cloud Resume Challenge

The resume is available online.

GitHub Repository See Live

Live Flight information Chatbot

This project is a chatbot on top of Alexa that would help us get the live updates of the flight. Made use of the third-party API for the flight data.

GitHub Repository

Auto-Healing Infrastructure with K8s

Designed and implemented an auto-healing infrastructure using Kubernetes, leveraging probes and ReplicaSets to ensure high availability and self-recovery of applications. Automated fault detection and recovery processes to minimize downtime and enhance system resilience.

Human Resource System

Learned to design APIs of CRUD operations for role based access.

End to End ML project

The project includes training and testing of the ML usecase based on Kidney disease identifier. It incorporates the usage of Dagshub, ci cd pipeline and AWS for deployment.

GitHub Repository

Contact

Get in touch

Email

hels8181@gmail.com

Location

North America
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