Hello, I'm
Ravindran S
Software Development Engineer
Computer Science undergraduate (AI & ML) with hands-on experience in edge inference, computer vision, and full-stack systems engineering. Built sub-1-GFLOP real-time object detection models for drone hardware and won 2 national hackathons. LeetCode Knight (2085 rating), ICPC 2025 participant. Proficient across AOSP, PyTorch, TensorRT, Go, Rust, CUDA, and distributed backend systems.
Knight Badge (Top 1.5% globally)
CGPA at Chennai Institute of Tech
Winner (Ti Forge & AI for Sustainability)
30+ FPS INT8 Real-Time Drone Model
Featured Projects
A selection of high-performance systems engineering, edge AI inference, and distributed pipelines.
MicroDet
Sub-1 GFLOP Real-Time Drone Detection Pipeline
Architected an ultra-lightweight object detection neural network designed specifically for compute-constrained drone hardware payloads.
Archon
Security-Hardened AUR Package Manager with eBPF Sandboxing
Engineered a high-performance, security-focused AUR (Arch User Repository) package manager in Rust.
Machine Guard
End-to-End Industrial IoT Predictive Maintenance Pipeline
Architected a distributed IoT telemetry pipeline for industrial machine vibration and acoustic anomaly detection.
Achievements & Recognition
Competitive programming accolades, national hackathon championships, and open source contributions.
LeetCode Knight Badge
Ranked among the top competitive programmers worldwide with consistent weekly and biweekly contest performances in advanced graph algorithms, dynamic programming, and data structures.
1st Place Winner — Ti Forge Hackathon
Won first prize for architecting Machine Guard: an edge AI vibration anomaly detection IoT ecosystem with <200ms latency and 94% on-device classification accuracy.
Winner — AI for Sustainability Hackathon
Awarded top honor for developing autonomous compute-efficient vision models optimizing renewable power load distribution and environmental monitoring.
CodeChef 3-Star Competitive Programmer
Active division competitor solving algorithmic optimization and mathematical problems in timed contest environments.
ICPC 2025 Preliminary Contest Participant
Competed in the world's most prestigious collegiate algorithmic problem-solving championship among top engineering university teams.
Finalist — TGF 2.0 TechSprint Hackathon
Selected as one of the top 10 finalist teams out of 300+ competing engineering groups for high-throughput distributed systems innovation.
Cisco Certified Specialist (CCNA & AI)
Completed rigorous Cisco professional certifications across Python Fundamentals, Cybersecurity, Modern AI, Data Science, and CCNA Network Infrastructure.
AWS s2n-tls Open Source Contributor
Contributed code and documentation corrections to Amazon's official TLS 1.3 implementation library in C.
SWOC Open Source Contributor
Contributed across developer tools, systems libraries, and community software repositories.
Recent Experience
Hands-on engineering across research teams, open source, and full-stack internships.
Edge AI & Object Detection Lead
Drone Technology Team – CIT | NIDAR Competition
•Engineered a sub-1 GFLOP real-time object detection model combining a NanoDet backbone with YOLO-style decoupled heads, achieving 96% mAP and 30+ FPS on-device inference via TensorRT INT8 quantization.
•Evaluated FP32 vs. INT8 precision and backbone architectural trade-offs to meet strict compute and thermal constraints for autonomous drone payloads.
•Presented benchmark results and live flight telemetry at NIDAR 2025.
Full-Stack & ML Systems Intern
AI/ML Virtual Internship – AICTE & EduSkills
•Built and deployed a full-stack web application featuring a responsive React frontend and a robust Flask/Python backend.
•Served real-time ML model predictions via low-latency REST APIs, handling 100+ concurrent requests during load testing.
•Implemented structured error handling, request caching, and automated integration testing pipelines.
Core Contributor
Open Source Contributor – AWS s2n-tls
•Contributed patches to AWS s2n-tls (Amazon's C implementation of the TLS/SSL protocols).
•Resolved correctness issues and addressed critical documentation gaps in TLS 1.3 handshakes, thoroughly reviewed and merged by AWS maintainers.
•Engaged in memory safety, fuzzing tests, and cross-platform verification across Linux architectures.
Let's build something impactful together.
Open for Software Engineering roles, systems research, and high-impact distributed teams.