Software Engineer / AI Agent / Machine Learning Engineer
I am a graduate student pursuing a Master of Science degree in Artificial Intelligence. My expertise spans AI Agents, large language models (LLMs), data science, machine learning, deep learning, software engineering, application development and scalable system design.
With a broad-minded and proactive approach, I thrive on solving complex problems through code and leveraging data to uncover meaningful insights that drive impactful decisions. I am passionate about exploring new technologies and constantly pushing the boundaries of what's possible.
AI Agents, LLMs (Large Language Models)
Supervised & Unsupervised Learning
Deep Learning (CNNs, RNNs, Transformers)
Reinforcement Learning, Transfer Learning
VS Code, PyCharm, XCode
Android Studio, Postman
RStudio IDE, Jupyter Notebook
React Native, iOS, Android
RESTful APIs, UI/UX Design
Responsive Design (XML, Jetpack)
Firebase, MongoDB, MySQL, PostgreSQL
Google Cloud (Firestore, BigQuery)
Microsoft Azure, AWS (S3, EC2)
Python, R, Java, SQL, C++
JavaScript (Node.js, basic React)
Bash/Shell scripting
PyTorch, TensorFlow, Keras
Scikit-learn, Hugging Face Transformers
OpenAI API, LangChain
Pandas, NumPy, Matplotlib, Seaborn
EDA, Statistical Modeling
A/B Testing, Time Series Analysis
Git, GitHub, GitLab
Effective communicator
Strong problem-solving skills
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• Leveraged the Segment Anything Model (SAM) to extract and reposition players from real-world
soccer images, enhancing dataset diversity for model training.
• Applied text-to-image diffusion models to generate structured tactical diagrams from textual
descriptions, ensuring compliance with spatial constraints such as player formations, offside rules.
• Developed an Android app using Java in Android Studio to track student attendance via GPS,
displaying real-time location and attendance status for teachers.
• Integrated Firebase for cloud data storage, allowing teachers to manage courses and export
attendance records to Excel.
• Planned for school-wide implementation, enabling all students to take attendance using the app.
• Build a Machine Learning web application from scratch in Python with Streamlit. Use real world data from the stack overflow developer survey to build a machine learning model.
I am actively seeking opportunities to collaborate on innovative and impactful projects. Let's work together to create something remarkable.