I am an incoming undergraduate student specializing in Mathematics, Computer Science, and Data Science. I focus on building high-performance backend infrastructures, deterministic mathematical archives, and agent-based economic simulations entirely from scratch.
- Project: Qwati Ingestion Engine| 📖 Full Interactive Documentation
- The Architecture: A thread-safe, decoupled microservice network utilizing a multi-tier, range-coded task queue architecture to process backend pipelines.
- Performance Benchmark: Scaled up to 18,000 operations/second throughput during enterprise stress-testing loops.
- Project: Agent-Based Market Console [Currently not uploaded]
- The Architecture: An object-oriented macroeconomic simulation modeling multi-class consumer, trader, and farmer agent behaviors.
- Emergent Behaviors: Maps time-series market oscillations, quality-tier pricing matrices, capital concentration curves, and liquidity bottlenecks across thousands of ticks.
- Project: The Perfect Number Research Archive
- The Architecture: A structured computational number theory toolkit containing custom implementations of classical and modern primality logic without external mathematical packages.
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Algorithms Implemented: Trial Division ($O(\sqrt{n})$), Wilson's Theorem, Lucas-Lehmer (LLT), probabilistic Miller-Rabin, and the deterministic AKS Polynomial Test (
$P$ -time certainty).
- Project: Virtual Storage Device (VSD)
- The Architecture: A virtual prototype of a fixed-block simulated filesystem layout using a flat file medium. Tracks hardware-level concepts including binary 8-bit conversions, custom file allocation tables, metadata grids, and explicit read/write latency benchmarking.
- Backend Systems: Python, Concurrent Programming, Multi-Lane Ingestion Queues
- Theoretical Frameworks: Discrete Mathematics, Number Theory, Microeconomic Modeling
- Developer Workflows: VS Code, Material for MkDocs, Git Version Control
I believe in learning something new every single day by rolling up my sleeves and translating dense theory into raw, performant code.
I am always open to discussing computational mathematics, backend architecture bottlenecks, or open-source research tools. Feel free to reach out!
- LinkedIn: ://linkedin.com
- Email:
krishnayadav311206@gmail.com - Location: India 🇮🇳
If you are an student or researcher working on algorithmic pipelines or simulation data, I would love to connect and help test, document, or clean your code repositories.