A curious computer scientist from Raleigh, North Carolina,
passionate about building scalable and reliable systems and exploring high-performance computing.
I also enjoy studying system software and diving into the latest computer architecture and AI research.
- Distributed Systems · Cloud Architecture · Backend Development
- Operating Systems · DevOps & CI/CD Pipelines · Parallel Systems
- High-Performance Computing · Systems Programming in C, C++, and Go
- Also into: AI/ML Research, Indie Game Development, IoT & Embedded Systems
📘 Academic Background
- Core: Operating Systems, Parallel Systems, Cloud Architecture, Software Engineering, Advanced Computer Architecture & Multiprocessors, Design & Analysis of Algorithms
- AI/ML: Automated Learning & Data Analysis, Advanced Neural Networks
- Core: Data Structures, Algorithms, Databases, Computer Networks & Security, System Programming & OS, Microprocessors
- Electives: High-Performance Computing, Cybersecurity, IoT, Pattern Recognition
- Honors: Artificial Intelligence, Machine Learning, Deep Learning, Fuzzy Logic
- Math: Discrete Mathematics, Calculus I, II, III, Digital Logic
🛠️ Tech Stack
- Languages: C, C++, Go, Python, Assembly
- HPC Tools: Slurm, Lustre, Singularity(Apptainer), CharlieCloud
- Distributed: Raft, gRPC, Zookeeper, etcd, Kafka
- Parallelism: CUDA, OpenMP, MPI, Intel AVX/SIMD, Spark/Hadoop
- Cloud: AWS (EC2, S3, VPC), Jenkins, Kubernetes, Terraform, Monitoring/Logging (CloudWatch, Grafana, ELK Stack)
- Hardware: Infiniband, Verilog, RTL
- Languages: Java, Javascript, TypeScript, HTML/CSS, SQL, PHP
- Frameworks: Svelte, React.js, Express.js, Next.js, Electron.js, REST API
- DevOps Tools: Git, Linux, Docker, Kubernetes, Jenkins, AWS
- Languages: Python, R
- Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, DeepFilterNet3, Langchain
- Languages: C#, Lua, Python
- Tools: Unity, LÖVE2D, Blender, Tiled, Adobe Photoshop, Figma
🔬 Research & Projects
- 📢 Noise Cancellation in Indic Speech – SpeechBrain & DeepFilterNet3
- 🧭 BLE Proximity Detection – Tourism apps with ESP32
- 🔐 Hybrid Sampling for Intrusion Detection – Optimizing NIDS performance
- 🧠 LLM Applications – Integrating GPT into educational & SaaS tools
- 🧰 SaaS Platforms – Full-stack tools for phishing simulation & report analysis
Always building, always learning. Let’s talk systems, scale, and speed!
👨💻Connect with me on other platforms!
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