AI Engineer and Software Engineer • Tech Geek • Cloud & Kubernetes Enthusiast
Focused on observability, security, and high availability in mission-critical systems.
I am a computer science student specializing in Artificial Intelligence, with strong interests in ethical AI, secure systems, and real-time applications. My work combines AI research with practical software engineering, where I explore areas such as machine learning, web development, and distributed systems.
I am passionate about building scalable, transparent, and cost-effective solutions, with a focus on AI Ethics and Explainable AI (XAI) to ensure that technology remains trustworthy and impactful
- Programming & Scripting: Python, C++, Java, R, SQL, Bash
- Machine Learning & AI: Supervised & Unsupervised Learning(Regression, Classification, Clustering),Deep Learning (CNNs, RNNs, Transformers), Reinforcement Learning, Explainable AI (XAI), Ethical AI.
- Frameworks & Libraries: *TensorFlow, PyTorch, Scikit-learn, Keras, OpenCV, NLTK, Pandas, NumPy, Matplotlib, Seaborn
- Data & Databases: *MySQL, PostgreSQL, MongoDB
- Web Development: Flask, Django, React, Node.js (basic)
- Tools & Platforms: Jupyter Notebook, GitHub, Google Colab, Docker (basic), Linux
- Hardware & IoT (Hobby Projects): Arduino, Raspberry Pi
- B.Tech in Computer Science & Engineering (AI Specialization) — Parul University (Expected 2026)
- Artificial Intelligence Professional Certificate, *Harvard University (2024-2025)
- Deep Learning Specialization (Andrew Ng, Coursera)
- AI Ethics & Explainable AI (XAI)
- Data Science Foundations (Python, R, Statistics, SQL)
- Web Development for AI Applications (Flask, Django, React)
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