Software Engineering MS Student

Gokul Selvan Tamizh Selvan

E-Mail: ********@***.*** Phone- +1-623-***-**** www.linkedin.com/in/gokul-selvan EDUCATION

Masters of Science in Software Engineering, Arizona State University May 2026 (Expected) Bachelors of Technology in Computer Science, SRM institute of Technology, India June 2020-May 2024 SKILLS

• Programming Languages: Python, Java, C, C++, JavaScript, HTML, CSS, PHP, MySQL

• Operating Systems: Windows 10, Linux, macOS.

• Frameworks & Libraries: TensorFlow, Keras, Pandas, NumPy, Scikit-learn

• Data & Analytics: ML (Random Forest, K-Means, PCA), Data Preprocessing, Data Visualization (Matplotlib, Seaborn, Power BI)

• Tools & Platforms: MATLAB, Microsoft Outlook, Excel, Word, PowerPoint, Windows 10, Linux, Android, iOS

• Cloud Technologies: AWS (EC2, S3, SQS, Lambda, API Gateway, Secrets Manager, VPC, Glue, EMR, SNS, CloudWatch), GCP

(Google App engine, Firestore, Google Cloud SQL), IBM Cloud PROFESSIONAL EXPERIENCE

Automation Engineering Intern August 2023 – November 2023 Airports Authority of India

• Led the design and implementation of the Point Merge System achieving a 20% improvement in arrival sequencing and spacing efficiency.

• Streamlined on system optimization within Air Traffic Management Automation, cutting response time by 5 min during peak hours.

• Improved conflict detection and resolution algorithms, enhancing air traffic safety, preventing 30+ potential conflicts monthly. Machine Learning Intern February 2023 – May 2023

Venkateswara Electrical Industries Private Limited

• Developed and trained machine learning models, such as Random Forest and Linear Regression, achieving a prediction accuracy of 92% for transformer performance across 10,000+ data points.

• Engineered and selected key features, such as voltage and temperature, resulting in a 25% reduction in model error and improving performance by boosting R score from 0.78 to 0.91.

• Evaluated model performance using cross-validation, achieving a Mean Absolute Error (MAE) reduction from 0.45 to 0.35. IT Operations Intern May 2022–July 2022

Sidan Global Solutions Private Limited

• Delivered technical support and resolved over 150 IT issues related to hardware, software, and networks.

• Facilitated with installing, configuring, and maintaining 100+ workstations and software updates.

• Contributed to IT infrastructure projects, including networking upgrades that elevated bandwidth utilization by 25 Mbps. ACADEMIC PROJECTS

Payment Anomaly Detection System

• Built a real-time anomaly detection system for payment transactions using Artificial Neural Networks (ANNs). Deployed feature engineering and regularization techniques to improve model accuracy by 15% and prevent overfitting.

• Tools: Python, TensorFlow, Keras, Pandas, NumPy. Customer Segmentation

• Executed K-means clustering to segment 10,000+ customers based on age, gender, and spending habits. Applied feature engineering and dimensionality reduction techniques like PCA.

• Tools: Python, K-means, PCA, Scikit-learn.

‘Food Stop’ – Intra-college Food Delivery Platform

• Created a web app used by 500+ students daily for food delivery within campus. Implemented user authentication and security measures, reducing unauthorized access by 90%.

• Tools: Python, HTML/CSS, JavaScript, MySQL, REST APIs Fake Product Authentication Using Blockchain

• Developed a blockchain-based system to authenticate products by linking unique QR codes to a blockchain ledger, enabling real-time verification with 99% accuracy. Integrated smart contracts to automate ownership transfer and ensure tamperproof tracking.

• Tools: Blockchain, Smart Contracts, Python, Solidity, QR Codes, Ethereum Lexical Analyzer for C

• Designed a lexical analyzer for a C compiler to handle tokenization & symbol table management. Incorporated error handling for syntax analysis.

• Tools: C, Compiler Design, Regular Expressions, Symbol Table. CERTIFICATIONS

Amazon Web Services (AWS) Certified Solutions Architect August 2024 Introduction to Artificial Intelligence (AI) – IBM, Coursera January 2025

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