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shan305/README.md

Hi, I’m Zeeshan Ali 👋

Software Engineer with experience building reliable backend and distributed systems across different domains. I focus on designing software that behaves predictably under load, failure, and concurrency, and I value clarity, discipline, and correctness over hype.

I come from a high-responsibility operational background and bring that mindset into engineering: systems should be understandable, auditable, and resilient.

What I Work On

  • Backend & Distributed Systems

    • Designing services that handle concurrency and partial failure
    • Event-driven architectures and asynchronous processing
    • Data consistency, idempotency, and replayability

  • System Design & Infrastructure

    • API design and service boundaries
    • Databases, messaging systems, and caches
    • Containerized deployments and CI/CD pipelines

  • Security-Aware Engineering

    • Authorization and access-control flows
    • Defensive design against stale state and race conditions
    • Audit-friendly system behavior

Selected Projects & Work

  • Distributed System Prototypes

    • Event-based processing pipelines
    • State transition modeling
    • Failure-mode exploration and mitigation

  • Authorization & Consistency Tooling

    • Tools to surface correctness issues caused by caching, delays, or stale state
    • Focus on making hidden bugs observable

  • Production Backend Services

    • REST and message-driven services
    • Database-backed systems with strong data integrity requirements

(Fintech systems are part of my experience, not my entire identity.)

Technical Stack

Languages

  • Java, C++, Python, TypeScript

Backend & Data

  • Spring Boot, Node.js, Django
  • PostgreSQL, MongoDB, Redis
  • Kafka and message-driven systems

Infrastructure

  • Docker, GitHub Actions
  • Linux-based deployments
  • Cloud-hosted services

How I Think About Engineering

  • Prefer explicit state over hidden mutation
  • Make failure modes visible
  • Design for long-term maintainability
  • Build systems that can be reasoned about by other engineers

Connect

GitHub Overview

GitHub Stats

Open to backend, platform, or systems engineering roles across industries.

Pinned Loading

  1. trading-platform-architecture-and-verification trading-platform-architecture-and-verification Public

    Correctness-first trading backend architecture: deterministic execution, ledger invariants, outbox/CQRS, and formal verification artifacts.

  2. Face_Recognition- Face_Recognition- Public

    Building a face recognition system using deep learning with TensorFlow and Keras

    Python

  3. cyclops-ai cyclops-ai Public

    Fully local AI coding agent — plans, edits, verifies, and fixes code using only a local LLM. No cloud, no API keys, no rate limits. 89/100 on real-world benchmarks.

    Python 1

  4. streaming-data-pipeline-kafka- streaming-data-pipeline-kafka- Public

    Real-time market data streaming pipeline demonstrating durability, replay semantics, and correctness under failure using Kafka, Redis, and Postgres.

    Python 1

  5. distributed-transactions distributed-transactions Public

    Distributed transaction patterns in Java : 2PC, choreography saga, orchestrator saga, and outbox pattern.

    Java

  6. rate-limiter rate-limiter Public

    Rate limiter in Java 17. Implements token bucket and sliding window log algorithms with per-client isolation, concurrent load testing, and a zero-dependency HTTP gateway.

    Java