Machine Learning Engineering Intern

Dev Patel

Austin, TX ***.*********@*****.*** www.linkedin.com/in/devp35 https://devpatel35.com https://github.com/DevPatel3547/ Education

Texas A&M University, College Station May 2025

Bachelor of Science in Computer Science – Honors, Minors in Statistics and Mathematics; Deans Honor Award GPA: 3.7/4.0 Relevant Coursework: Analysis of Algorithms, Data Structures and algorithms, Machine Learning, Artificial Intelligence, Database Management, Operating Systems, Computer architecture, Programming Languages, Coursera ML specialization, Udemy data science bootcamp, Udemy mastering DSA; LinkedIn SWE

Skills

Languages/Frameworks: Python, SQL, C#, C/C++, Java, Spring, JS/HTML/CSS, React, Node/Express, Django, RubyOnRails, Flutter, Redux Tools: AWS, My/PSQL, REST, Docker, Kubernetes, .NET, GRPC, Jenkins, Apache, ETL, GraphQL, JIRA,Redis, MongoDB, Firebase, Postman Experience

Software Engineering Intern, Ansys, Austin TX May 2024 – Dec 2024

● Implementing .NET, and C# WebAPIs for system migrations, utilized GRPC and COM interfaces for data transfer across microservices.

● Solved 12+ bugs across multiple architecture layers and languages (C#, C++, Python, JS, Angular) using dynamic tracing, memory profiling.

● Crafted REST/MVC requests for async tasks, batch script automation for efficient file deployment and IronPython for scripting simulations. Data Engineer, Texas A&M University Nov 2023 – Feb 2024

● Architected, Deployed Python-based ETL workflows to automate data cleansing integration across 5+ multi-source datasets

● Boosted disaster management strategies by implementing ML algorithms, 25% improvement in predictive analysis using Pandas, SciPy, SQL

● Refined reporting processes, using complex SQL queries (CTEs, views) and used Power BI, Tableau for visualizing strategic decision-making. Software Engineering Intern, Sigma InfoSolutions May 2022 – Jul 2022

● Improved on an e-commerce transaction React/Spring Boot feature, enhancing UI/UX and backend APIs using Vuejs and PowerBI insights.

● Elevated PostgreSQL and MongoDB using Hibernate, optimizing data transactions and query performance by 30% for financial analytics.

● Extended AWS infra (S3, EC2, RDS) for new features and monitoring; maintained CI/CD via Jenkins and Kubernetes. Full Stack Developer, Texas A&M University Aug 2022 – Dec 2022

● Modeled a full-stack web application using Express.js+Node for server-side processing, integrating React, Xamarin for client-side rendering.

● Advanced SQL database management with SQL query structuring, indexing, caching using Redis for reducing API latency.

● Hosted applications securely on AWS, integrating client requirements with JIRA and Git, and boosted backend performance by 20%. Machine Learning Research Assistant, Texas A&M University May 2022 – Aug 2022

● Piloted 5+ predictive Machine Learning Models using Decision Trees and Random Forest for advanced malware threat analysis.

● Implemented React-based analytics dashboard visualizing 30k+ malware datapoints using python libraries and Ghidra reverse engineering. Software Engineering Intern, 4C Consulting May 2023 – Jul 2023

● Employed RESTful APIs for server-side data handling and storage solutions in Python and PSQL databases, focusing on system efficiency.

● Designed responsive web interfaces with HTML, CSS, JavaScript; improved deployment using Jenkins, Agile, Git, JIRA, Postman, GraphQL. Projects

ProphetAI, https://github.com/DevPatel3547/ProphetAI- Feb 2025

● Created an anything probability calculator app with over 10000+ uses, leveraging Flutter Web, Firebase and statistical models.

● Integrated 5 AI models (Meta Llama, Cohere, OpenRouter, Groq, Mistral) via REST APIs, added request caching and queueing for efficiency.

● Optimized performance with SQLite, Cloud logging, and ELK stack, enabling efficient query execution for a 30% reduce in latency.

● Applied scalable microservices with Docker; Deployed with Firebase Hosting & Github actions for CI/CD lines ensuring automated builds. Quant A&M WebApp, https://github.com/DevPatel3547/QuantA-M Jan 2024 - April 2024

● Constructed "QuantA-M", a Ruby on Rails app with 300+ users; PostgreSQL+Docker for DB schema and TDD using RSPEC and reviews.

● Implemented CI/CD pipelines with GitHub Actions and Heroku, managed project workflows using Jira in alignment with Agile methodologies Customer POS System, https://github.com/DevPatel3547/CustomerPOSSystem Aug 2023 – Dec 2023

● Launched a React.js app with Redux; Node.js backend; REST API using async-await, axios, Postman; PSQL ORM, GMAP APIs; Docker Algorithmic Trading Model, https://github.com/DevPatel3547/AlgorithmicTradingModel May 2023 – Aug 2023

● Devised LSTM model in TensorFlow/Keras, used regression, mean reversion for ML; Backtested on historical data using Yahoo Finance API. Overse Browser, https://github.com/DevPatel3547/OverseBrowser Apr 2023 – Nov 2023

● Developed “Overse” browser with Python, PyQT5 and SQL; Featuring multi tabbed browsing, GUI, and security using OpenSSL, AES.

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