const satyam = {
education: "Computer Engineering @ NIT Kurukshetra",
interests: [
"Systems Engineering",
"Distributed Systems",
"Algorithms",
"Backend Architecture"
],
currentlyLearning: [
"Database Internals",
"Distributed Systems Design",
"Kubernetes",
"Large Scale Infrastructure"
]
};- 🎓 Final year Computer Engineering student at NIT Kurukshetra.
- 💻 Building high-performance systems from scratch — C++ databases, custom allocators, distributed caching, and ML pipelines.
- ⚔️ LeetCode Knight (Max Rating 1908).
- 📜 Published researcher (ICDAM 2025, NE-IECCE 2026).
- 🏫 Selected for Amazon ML Summer School 2025.
- ⚡ Fun fact: If you ever feel useless, think about the guy who writes Terms & Conditions.
- 📫 Reach me at: stym4193@gmail.com | LinkedIn | Portfolio
Languages:
Backend & Systems:
Databases:
Machine Learning & Data:
-
AtomicKV: Distributed Key-Value Database
Architected a production-grade, distributed key-value database from scratch using C++17 and Linux epoll. Features a tiered storage engine (LRU Cache + Bloom Filter + B-Tree), a Consistent Hash Ring, asynchronous replication, and a masterless Gossip Protocol for high availability. Sustained 9,950+ Req/Sec at 32.97ms latency. -
Low-Latency HFT Order Matching Engine
Designed an HFT order matching engine in C++17 powered by custom memory allocators (Stack, Free-List, Pool, Linear). Zero-allocation architecture on the hot path reduced latency by 16x (from 117ms to 7.35ms) vs standard malloc/new. -
Shortify: Multi-Layer Caching URL Shortener
Scalable URL shortening service with Node.js, PostgreSQL, and Redis. Engineered L1/L2 caching achieving 7.12ms latencies and a custom Token-Bucket rate limiter. -
RansomDroid: Android Ransomware Detection
Pioneering Vision Transformer (ViT) approach for detecting Android ransomware. Achieved 99.78% accuracy on 4,280 APKs evaluated via CuckooDroid sandbox dynamic analysis. (Accepted at ICDAM 2025) -
SOC & SOH Estimation (TinyML)
Offline diagnostic system on ESP32 using a novel Residual-Physics Neural Network (RPNN) with INT8 quantization in C++. Features real-time 'Virtual Cranking' algorithms. (Accepted at NE-IECCE 2026)
- Amazon ML Summer School 2025: Selected for Amazon India's mentorship program.
- Amazon ML Challenge 2025: Rank 2313 (Top 3%).
- LeetCode Knight: Max Rating 1908.
- Global Rank 412: Top 1% in Weekly Contest 497.
- Publications:
- "From Behavior to Pixels: A Vision Transformer Approach for Android Ransomware Detection" - ICDAM 2025 (Springer LNNS)
- "SOC and SOH Estimation of Lead-Acid Battery using IoT and Residual-Physics Neural Network" - NE-IECCE 2026 (IEEE)
Check out a snapshot of my coding adventures!