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P-Kanishka/README.md

Hi there, I'm Kanishka! 👋

Software Engineer | AI Security Researcher | Distributed Systems Specialist

I sit at the intersection of Scalable Infrastructure, AI Safety, and High-Performance Computing. I don't just build models; I build the distributed systems that serve them and secure them against adversarial attacks.

  • 🎓 Master's in CS (AI Focus) @ University of South Dakota (2025)
  • 🏆 Best Paper Award Winner for LakotaBERT (RTIP2P-2024)
  • 🔭 Looking for: Full-time roles in Backend, AI, or Infrastructure Engineering.

🛠️ Technical Arsenal

  • Languages: Python, Go (Golang), C++, C#, Java, SQL.
  • Backend & Cloud: Microservices, gRPC, Docker, Kubernetes, Azure, RESTful APIs.
  • AI & HPC: PyTorch, CUDA, SLURM, Qiskit, TensorFlow, Hugging Face.
  • Engineering Core: Agile/Scrum, CI/CD Pipelines, TDD, System Design, OOP.

🔹 Domain 1: Software Engineering, Backend & HPC

  • Scope: Backend Engineering & Reliability.
  • Tech: Go (Golang), gRPC, Docker, Protocol Buffers.
  • Highlight: Architected a master-worker system with heartbeat failure detection and dynamic task reassignment (99.5% uptime).
  • Scope: Cloud Engineering, Full Stack & Photogrammetry.
  • Tech: Python, Azure (Auto-scaling), Tesseract OCR, CI/CD, WebGL.
  • Highlight: Architected an automated ETL pipeline and 3D rendering workflow; reduced data entry by 90% and ensured high availability.
  • Scope: Quantum Computing & HPC.
  • Tech: Qiskit (IBM), Python, Linear Algebra.
  • Highlight: Implemented Deutsch-Jozsa algorithm on IBM's Osaka computer to demonstrate exponential speedup.
  • Scope: High-Performance Computing (HPC).
  • Tech: Python, CUDA, GPU Acceleration.
  • Highlight: Achieved 1.12x speedup over CPU by optimizing low-level matrix multiplication kernels.

🔹 Domain 2: AI, Security & Data

  • Scope: End-to-end LLM pre-training.
  • Tech: PyTorch, Transformers, NVIDIA A100, SLURM.
  • Highlight: Optimized data pipeline for 105K-sentence corpus; won Best Paper Award.
  • Scope: AI Security & Adversarial Attacks.
  • Tech: Python, OpenAttack, Adversarial Robustness Toolbox (ART).
  • Highlight: Automated Data Poisoning and Prompt Injection pipelines (99% white-box success rate).
  • Scope: Data Science & Analytics.
  • Tech: Python, Pandas, Statistical Analysis.
  • Highlight: Developed a "10-Point Scale" metric to benchmark Google Scholar vs. BASE.

🔹 Domain 3: Robotics & Simulation

  • Scope: Deep Reinforcement Learning (RL).
  • Tech: MuJoCo, PyTorch, Stable-Baselines3 (SAC/PPO).
  • Highlight: Trained a 20-DoF Shadow Hand for complex grasping tasks with 100% success rate.
  • Scope: Simulation & Game Architecture.
  • Tech: C#, Unity 3D, Finite State Machines, Blender.
  • Highlight: Built a physics-based engine with custom NLP parsers and 3D asset integration.

📜 Certifications & Awards

  • 🏆 Best Paper Award (RTIP2P-2024) - University of South Dakota
  • 📜 Sensors for Autonomous Vehicles - IEEE
  • 📜 Designing Security Solutions for Edge, Cloud, and IoT - IEEE
  • 📜 Enterprise Blockchain for Supply Chain - IEEE
  • 📜 Web Server & Web Application Security - IEEE

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