🥂 I’m ashraf 🌚
👀 I’ve experience in Fullstack, Machine Learning, Heterogeneous programming, DevOps, and Data Analysis.
🌱 I’ve a Master of Science in Computer Science and Engineering (Specializing AI) at The State University of New York at Buffalo.
💞️ I’m looking to collaborate on projects related to AI, ML, PC and FS.
🤯 I'm also interested in Blender, three.js, Unreal Engine, and Game development.
🤔 I’m looking for help building chat Agents.
📫 How to reach me: ashrafal@buffalo.edu
📄 Here's my Portfolio. [Open to feedback]
- Languages: C/C++, C#, Python, Java, MATLAB, OpenCL
- Frameworks & Libraries: Xamarin, XAML, NumPy, Pandas, Matplotlib, Scikit-learn, PyTorch, Jupyter, Robot Framework, Appium
- Tools & Platforms: Git, Azure DevOps, Jenkins, Docker, MQTT, Android Studio, Maven
- Web Technologies: HTML, CSS, JavaScript, PHP, REST API, React
- Databases: SQL, NoSQL (MongoDB)
- Big Data: Hadoop, PySpark
- Security: Wireshark
- Other: Linux/ Unix
Project Engineer (SDE II) at Wipro, Bangalore (June 2019 - Dec 2022)
- Developed a feature enhancing user engagement and reducing load time by 30%.
- Managed Azure pipelines and configured Jenkins, cutting deployment time and configurations by 81%.
- Managed DevOps tasks for a 40-member team, ensuring efficient project delivery.
- Created a C# console app with Postman to simulate API responses, reducing manual workload from 1 hour to 10-15 mins.
- Engineered a PowerShell app for Azure API calls integrated with Postman, cutting interaction time by nearly 70%.
- Implemented Appium with Java Maven for Android/iOS testing, increasing test coverage by 10%.
- Worked with senior SDEs to integrate automated testing for IoT components in autonomous vehicles using MQTT protocol.
- Conducted thorough testing to ensure product robustness and reliability.
- Optimized string localization in the app for global user experience.
Intern at Hewlett Packard Enterprise [SLN Technologies Ltd], Chennai (June 2018 - July 2018)
- Interned as an Android Developer developed a Notepad app.
Master of Science, Computer Science and Engineering
The State University of New York at Buffalo (Aug 2023 - Dec 2024)
Relevant coursework: Algorithms, Machine Learning, Data Structures, Operating Systems. Research Assistant in the field of Artificial Intelligence. GPA: 3.8
Bachelor of Technology, Computer Science and Engineering
Vellore Institute of Technology, Vellore (Aug 2015 - May 2019)
Relevant coursework: Data Structures, Algorithms, Database Systems, Computer Networks. GPA: 7.68
Image Denoising Using A Combination Of Spatial Domain Filters And Convolutional Neural Networks
IJRTE, ISSN: 2277-3878, Volume-7 Issue-6, March 2019
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EMNIST (Fall 2023)
Applied various CNN to classify EMNIST dataset and achieved accuracy around 95%.
WordCount (Fall 2023)
Applied the concept of map-reduce to parallely do a wordcount on a large text dataset.
SeedLab (Fall 2023)
Successfully completed security related challenges offered by Seedlabs under a debian based virtual environment.
ChestMNIST (Spring 2024)
Used the Chestmnist dataset and applied ResNet, DenseNet, GoogleNet, VGG16, ResNeXt, ResNet50 and compared the results to derive the most suitable NN to work with Chest X-Rays and eventually prevent Chest related diseases.
PintOS (Spring 2024)
A stanford standard playground, which helped me learn the fundamentals of an Operating Systems in-terms of the structure, communication and error handling thats involved in a small C based OS.
Facebook Sentiment Analysis (Spring 2018)
Used Facebook Graph API to understand the sentiment involved in the comments section of a post.
Stock Market Prediction (Spring 2018)
Applied Linear Regression to the yahoo finance dataset to predict the market trends.
Quadcopter with BT Remote (Fall 2018)
An IoT project involving Arduino, Bluetooth module and a Web Interface made with Php to control a Quad-copter built from scratch. Our goal was to test its limitations in the field of logistics.
Handwriting Recognition (Spring 2017)
A project to understand the working of a simple Neural Net, coded in MATLAB to understand human handwriting.
College Login Portal (Fall 2017)
A beginner level project to understand the working of frontend and backend of a system and to learn how to design a efficient schema.