CS undergrad at PES University (2024–2028) passionate about building systems software, backend infrastructure, and developer tools. Currently interning at Zenvio Mobility, working on backend services for an EV fleet management platform.

• Systems & Low-level — container runtimes, kernel modules, process management
• Backend & APIs — Node.js, Express, REST APIs, Flask, FastAPI
• Developer Tools — Chrome extensions, CLI tools, automation pipelines
• Full-stack Apps — React, Vite, MongoDB, MySQL

A Docker-like Linux container runtime in C with PID/UTS/mount namespace isolation, a loadable kernel module for memory enforcement, and a supervisor daemon with a ring-buffer log pipeline. C Linux Kernel UNIX Sockets Pthreads

Production AI chat app integrating Groq Llama 3.3 70B with sub-2s streaming latency, real-time markdown rendering, and a zero-dependency file-backed persistence layer. React 19 Node.js Express Groq API Vite

Manifest V3 Chrome Extension that surfaces company-frequency tags and pattern recommendations on LeetCode problem pages, backed by a scraped dataset of 1,446 questions across 197 companies. TypeScript Chrome Extension MV3 Vite Python

Machine Learning — working through core concepts in supervised learning, model evaluation, and ML pipelines using Scikit-learn, Pandas, and NumPy.

Languages:   C/C++, Python, JavaScript, TypeScript, Java, SQL
Systems:     Linux, Kernel Modules, Namespaces, UNIX Sockets, Pthreads
Backend:     Node.js, Express, Flask, FastAPI, REST APIs, MongoDB, MySQL
ML:          Scikit-learn, Pandas, NumPy, Matplotlib, TF-IDF, NLP
Tools:       Git, GitHub Actions, Docker, Streamlit, Jupyter

• Email: [email protected]
• LinkedIn: linkedin.com/in/kishansaaai