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Vara Prasad Gudi

A Software Enthusiast

HELLO !

I'M Gudi Varaprasad

I've been passionate about software development since a young age, transforming my early interest in applications like Amazon, Netflix, and WhatsApp into a flourishing technology career. At the Vellore Institute of Technology, where I graduated with honors in Computer Science and Engineering, I not only excelled academically but also took on the role of Program Representative for the CSE Department.

My academic journey was greatly enhanced by my practical experiences. As a Supply Chain Data Analytics Intern at Ecolab, I employed Python and SAP scripting to optimize operational efficiency, solve complex coding optimization problems, and automate data processes. This role was pivotal in reducing processing times and sharpening my problem-solving skills. Additionally, during my time as a PHP-API Developer Intern at SpacECE India Foundation, I developed innovative APIs that significantly improved user engagement through technological solutions. I also have a strong research background in Artificial Intelligence and Machine Learning, with projects in diverse areas such as Waste Management, Traffic Management, and advancements in the Health and Media sectors, utilizing cutting-edge technologies like Computer Vision, Deep Learning, and Explainable AI (XAI).

Currently, as a graduate student at the University of Massachusetts Amherst, I am pursuing my Master of Science degree in Computer Science. This opportunity is further refining my ability to create secure and user-friendly software and web applications, aligning with my commitment to making the digital space more secure and inclusive. Holding multiple patents, publications, and certifications in AI and ML, I am always on the lookout for collaborative and innovative opportunities. My goal is to significantly contribute to technology projects that prioritize accountability, transparency, and accessibility, harnessing technology for impactful and ethical solutions.

Are you ready to explore new frontiers and create groundbreaking projects? I am eager to connect with like-minded individuals who share my passion for enhancing Technology. Let's exchange ideas and discover exciting possibilities that can drive us towards success. I'm excited to connect and collaborate — let's make magic happen!

My Skills

Programming — Python, R, Java, Javascript, PHP, SQL/MySQL, JavaFX, HTML, CSS, Bootstrap, ECMAScript, JSX

Libraries/Frameworks — Pandas, NumPy, Matplotlib, TensorFlow, Sklearn, Transformers, Pygame, PyTorch, Keras, Selenium, JSON, XML, ReactJS, JavaFX, HTML, CSS, Bootstrap, ReactJS, ECMAScript, JSX, jQuery, Ajax, Node.js, Laravel (PHP)

Technology — Linux, Git (VCS), AWS, Azure, Docker, Snowflake, SAP, DAX, Anaconda, MS Power Platform, Power BI, MS Office, Android, Metasploit, Firebase

Industry Knowledge — Algorithms, Data Structures, Statistics, Data Analysis, Artificial Intelligence, Machine Learning, Deep Learning, Information Retrieval Systems, Natural Language Processing, Software Testing, Agile Development, Cloud Computing, Supply Chain Analytics, Software Engineering, Team Software Process, Cybersecurity


Soft Skills — Problem-Solving and Critical Thinking, Adaptability, Strong Communication Skills, Team Collaboration

10+

Months of Experience

62+

Projects Finished

844+

Open Source Contributions

15+

Achievements

My Experience

Feb 2023 – Jun 2023

Data Analyst - Supply Chain Analytics at ECOLAB

Developed and integrated Python scripts with SAP systems enhance North American cruise data efficiency, while Python-based ETL processes optimize data extraction for these cruises. Enhanced logistics and automated order systems for Ecolab in Europe and Nalco in India leverage MS Power Tools and SharePoint. Power BI dashboards support global cyber resilience, featuring automated data processes and continuous refinement based on feedback.

Aug 2020 – May 2023

Cyber@ANZ Virtual Intern

Social Engineering Investigation i.e. Investigate E-mails sent in and report suspicious items Performed Digital Investigation i.e. Analyze a Packet Capture file using an open source tool to identify and investigate any potential threats

Aug 2020 – May 2023

Program Representative at VIT-AP University

Answered student queries over email. Interacted with students for any Academic help and report it to core committee. Occasionally interacted with core committee to give suggestions regarding Academics.

March 2022 – May 2022

Cyber Security Internship at Talakunchi Networks

Handled Projects like Authentication Bypass, Scanning using OWASP ZAP, Scanning & Attacking for Open ports and worked on System Hacking and Exploiting Server Vulnerabilities. Also, into Hands-on Training on various Ethical hacking concepts and Kali Linux Tools.

Dec 2021 – Jan 2022

API Developer

Worked on PHP Stack as an API developer for the SpacTube module, which is an interaction gateway for parents and teachers to manage a video gallery and engage for early child development that makes use of the YouTube API to handle requests from the organization's YouTube channel. As a PHP developer, I contributed on the Consult-Us module, which is an online video conference app for interaction between doctors and children that includes live streaming and a Real-Time Voice and Video Engagement feature supported by the Agora API.

August 2021

Sales And Marketing Intern at Professor Teachers Live

Marketing the company services with pragmatic strategies. Working on the street-smart execution of marketing pitches turn them into sales. Select target customers and implement tricks to achieve sales targets on that day. Suggest Sales and Marketing Ideas/methodologies to the company.

Oct 2020 – Jun 2021

Technical Associate at Null Chapter

Worked closely to the technical lead and made decisions to provide technology and technical support to the community. Helped in Conducting Technical Events like WebHunt, Capture The Flag, CyberPunk and other Technical Talks in the club, contributed some blogs, developed some skills.

Jun 2020 – Present

Blogger at DEV Community

Connected with the developer community and contributed some technical blogs on various topics like Programming, Security, Softwares, Beginner Projects on my experiences with Technology.

My Research Work

Published Author - IET Book Chapter

Published a chapter in the book "Explainable Artificial Intelligence (XAI): Concepts, Enabling Tools, Technologies and Applications," published by The IET Digital Library, provides a comprehensive insight into the role of XAI in the medical field. With its Chapter DOI: 10.1049/PBPC062E_ch, it emphasizes the necessity for transparency in AI systems among healthcare professionals. The chapter thoroughly explores applications in areas such as medical image analysis with deep learning, clinical decision support, and broader healthcare. It also highlights XAI's role in enhancing trust in healthcare, with in-depth discussions on its integration in healthcare frameworks for pandemic prevention, and specific medical applications like allergy diagnosis. This research significantly contributes to the understanding of how XAI can be a transformative force in medical science, emphasizing the importance of explainability in the deployment of AI solutions for improved health outcomes.

Fuzzy Image Clustering via Featured Interval Extraction

This research, conducted under the guidance of Assistant Prof. Sheela Jayachandran at the School of Computer Science and Engineering (SCOPE) at VIT-AP, presents a groundbreaking Python-based machine learning algorithm for image analysis. The Fuzzy Image Clustering via Featured Interval Extraction algorithm excels with a 100% accuracy rate in overlap distance evaluation, significantly outperforming existing methods in datasets with high overlap. Its versatility and precision in multivariate statistical applications not only mark a significant advancement in the field but also earned recognition through a utility patent (IP India Application No. 202341029896). This work highlights the potential for enhancing image analysis techniques and contributes substantially to the research community.

Automatic Garbage Disposal with Cash Incentives to support clean India

This research, under Assistant Prof. Sheela Jayachandran at VIT-AP's School of Computer Science and Engineering, has significantly advanced waste management technology. By integrating the YOLOv4 algorithm with IoT, the team developed a system that not only surpasses previous models in accuracy but also improves efficiency. This innovation led to a notable 10% increase in detection precision and a 12% boost in processing speed, showcasing a scalable solution that melds deep learning with environmental sustainability. The impact of this groundbreaking work is further acknowledged through the publication of a design patent (IP India Application No. 202341070187), marking a milestone in sustainable technology development.

A Novel Approach using Fuzzy Logic to Detect Traffic Control Systems

This research, led by Associate Prof. Somya Ranjan Sahoo at VIT-AP's SCOPE, innovatively applies fuzzy logic to traffic control systems, resulting in a 30% improvement in traffic flow and a 20% reduction in vehicle wait times. The study involved a Pygame simulation of a complex four-way intersection, showcasing its potential in urban traffic management. The team's findings, demonstrating a 45% efficiency increase over static systems, were recognized for their significance in urban planning and smart cities, culminating in a publication in an IEEE journal.

Contact me

Get in Touch

gudi.varaprasad@gmail.com

Amherst, MA, USA - 01002

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