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anshullakra007/README.md

Anshul Kumar

Full Stack & Distributed Systems Engineer

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About

I am an engineer focused on building scalable, high-performance backend systems and infrastructure. I enjoy tackling complex architectural problems, from designing custom database clones to developing robust remote code execution engines.

Currently pursuing my B.Tech in Computer Science Engineering (CGPA: 9.11/10.0) at Vellore Institute of Technology (VIT), Bhopal (Expected June 2027).

  • Core Focus: Distributed systems, backend architecture, and algorithmic efficiency.
  • Current Goal: Pushing high-throughput system boundaries and advancing in competitive programming.

Education

Vellore Institute of Technology (VIT), BhopalB.Tech in Computer Science (Sep 2023 - Jun 2027)

  • CGPA: 9.11/10.0
  • Coursework: Object-Oriented Programming, Data Structures & Algorithms, Operating Systems, Computer Networks, DBMS, System Design.

Technical Expertise

  • Languages: Java (JDK 21), C++ (STL), JavaScript (ES6+), Python, SQL, C
  • Backend & Systems: Spring Boot 3, Docker, Microservices, Raw Sockets, Multithreading, TCP/IP, ThreadPoolExecutor
  • Frontend & Web: React.js, Next.js, Node.js, Socket.io, Tailwind CSS, WebSockets, REST APIs
  • Data Analytics & AI: Python (Pandas), Google Gemini API, ChromaDB (Vector DB), Recharts
  • Tools: Git, GitHub, Postman, VS Code

Open Source Contributions

Jedis (Official Redis Java Client) | Java, Concurrency, Networking

  • Implemented a thread-safe fix in MultiNodePipelineBase to resolve a lock-inversion deadlock (Issue #4557).
  • Eliminated eager connection borrowing during command appending to break hold-and-wait conditions.
  • Authored a deterministic concurrency integration test using CyclicBarrier and strict connection mocks.

Selected Works

ReconAI (FinTech Operations Dashboard) | Python, FastAPI, React, Pandas, Gemini

  • Designed an automated data reconciliation pipeline processing 5,000+ synthetic payment gateway transactions.
  • Benchmarked backend resolution logic using asyncio, achieving a peak throughput of 420.16 req/sec and a P99 latency of 38.63 ms.
  • Automated root-cause analysis (RCA) on failed transaction batches by integrating the Gemini LLM, guaranteeing a 100% success rate under concurrent load testing.

Distributed Code Engine | Java, Spring Boot, Docker, React

  • Architected a remote code evaluation API capable of compiling and running Python, C++, and Java concurrently with a 100% success rate under parallel load testing.
  • Accelerated Python runtime pipelines to achieve a peak processing capacity of 130+ req/sec with under 70 ms mean response time.
  • Implemented asynchronous process management using Java ProcessBuilder to handle heavy multi-threaded compilation workloads.

MiniRedis (Multi-threaded TCP Store) | Java, Raw Sockets, Concurrency

  • Engineered a concurrent in-memory key-value storage engine entirely from scratch, benchmarking at a peak throughput of 94,600+ ops/sec over raw TCP sockets.
  • Orchestrated thread-safe data consistency across 500 concurrent client connections using ConcurrentHashMap and fine-grained locking, sustaining a 0.00% error rate.
  • Designed a custom TCP protocol with sub-millisecond mean execution delays (0.6 ms) and minimized context-switching overhead, stabilizing P99 latencies at 3.2 ms.

SyncDraw & L7 Load Balancer

  • (Other notable projects including a real-time collaborative whiteboard via WebSockets and a custom Reverse Proxy implementing Round Robin and Least Connections with lock-free Atomic counters).

Achievements & Competitive Programming

Codeforces Stats LeetCode Stats
  • Codeforces: Attained Pupil rank (Peak: 1289). Secured global rank 2185 in Educational CF Round 190.
  • LeetCode: 1450 contest rating.
  • Mastered 360+ DSA problems across both platforms using C++ (STL), resolving 118 Medium and Hard challenges.

Certifications

  • AWS Certified Solutions Architect – Associate (Amazon Web Services)
  • Networking Basics (Cisco)
  • Cyber Security Analyst (IBM Career Education Program)
  • Blockchain and its Applications (NPTEL / IIT Madras)

Pinned Loading

  1. Distributed-Code-Execution-Engine Distributed-Code-Execution-Engine Public

    Remote Code Execution Engine with Spring Boot & Docker

    JavaScript

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