Keywords:
Programmable Data Planes, P4 Programming, eBPF,...
Researcher with hands-on experience in data optimization, network programming, and machine learning. Proficient in P4 and performance
tuning for real-world systems. Quick to learn new technologies...
Skill Set:
Technical Skills: Python, Java, C, C++, JavaScript, Shell Scripting, P4 programming, Tofino switch programming, eBPF, XDP, Network anomaly detection, Packet processing, React.js, React Native, Flask, FastAPI, Django, HTML/CSS, Node.js, Express.js, MongoDB, PostgreSQL, Git, CI/CD, AWS CodePipeline, AWS Lambda, AWS CodeBuild, Google Cloud Platform, Terraform, Cloud Deployment Manager, Hadoop, Apache Spark (Core, SQL, Streaming), Hive, NLP (spaCy, NLTK), Reinforcement Learning, Machine Learning (scikit-learn, TensorFlow, PyTorch), OpenAI API, PySpark, Matrix factorization, Tkinter, PyQt, Matplotlib, Streamlit, WebRTC, Socket.io, WebSockets, Image processing, Data analysis and pattern recognition.
Computational Skills: Programming Languages: Python, Java, C, C++
Data Structures and Algorithms (including STL)
Machine Learning and AI Frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
Natural Language Processing (NLP) tools: spaCy, NLTK
Big Data Technologies: Hadoop, Apache Spark (Core, SQL, Streaming), Hive
Database Management: MySQL, MongoDB, PostgreSQL
Cloud Platforms and Tools: AWS (Lambda, CodePipeline, CodeBuild), Google Cloud Platform
Infrastructure as Code: Terraform, Cloud Deployment Manager
DevOps and CI/CD: Git, GitHub Actions, GitLab CI/CD, Docker (if applicable)
Network Programming: P4, eBPF/XDP, packet crafting with Scapy
Frontend-Backend Frameworks: React.js, Node.js, Flask, Django
Lab Affiliations:
Center Name: Distributed and Adaptive Wired / Wireless Networks Lab (DAWN Lab)
