About Me
Software engineer focused on systems engineering, edge AI inference, and distributed backend reliability.
Engineering high-performance software from the metal to the cloud.
I am a Computer Science undergraduate at Chennai Institute of Technology specializing in Artificial Intelligence and Machine Learning. My engineering passion lies at the intersection of low-level systems programming, embedded Edge AI acceleration, and scalable distributed architectures.
Over the past few years, I have architected neural network pipelines that shrink compute requirements to sub-1 GFLOP for real-time drone payloads, built kernel-tracing package sandboxes with eBPF and Rust, and contributed patches directly to Amazon's AWS s2n-tls security library.
Whether competing in international algorithmic contests (holding a 2085 LeetCode Knight rating and competing in ICPC 2025) or winning national hackathons like Ti Forge, I enjoy taking on mathematically and architecturally demanding technical challenges.
Engineering Values & Principles
- Structural Integrity: Prioritizing correctness, memory safety, and deterministic behavior.
- Minimal Overhead: Eliminating unnecessary layers of abstraction to maximize hardware efficiency.
- Continuous Rigor: Solving complex algorithmic problems daily and validating designs under load.
Education
Formal foundation in computer science, machine learning theory, and systems engineering.
Chennai Institute of Technology
B.E. Computer Science and Engineering (AI & ML)
Core Focus Areas: Data Structures & Algorithms, Computer Vision, Deep Learning, Operating Systems, Database Management, Distributed Systems, Computer Networks, and Edge Computing.
Core Competencies
Specialized technical domains where I deliver high impact.
Problem Solving & Algorithms
LeetCode Knight (2085 contest rating) with rigorous algorithmic problem-solving discipline in graphs, dynamic programming, and data structures.
Edge AI & Inference
Engineered sub-1 GFLOP object detection models with INT8 TensorRT quantization running at 30+ FPS on embedded drone hardware.
Systems & Security
Built Archon AUR package manager in Rust with eBPF syscall monitors and Bubblewrap sandboxing to detect malicious package scripts with <5% overhead.
Distributed Systems & IoT
Architected end-to-end IoT pipelines (MQTT, Firebase, React, TFLite) maintaining <200ms end-to-end alert latencies.
Linux Internals & AOSP
Proficient in kernel syscalls, process sandboxing, Android Open Source Project (AOSP), and low-level C/C++ memory management.
GPU Optimization & CUDA
Hands-on experience in accelerating matrix operations, memory coalescing, and hardware-level compute pipeline efficiency.