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Achievements

Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Shark

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naitikshah1008/README.md

Naitik Shah

Software Engineer · Backend Systems · Full-Stack Products · AI Workflows

What I Work On

I build backend and full-stack systems that are reliable, testable, and easy to debug.

My work spans REST APIs, service layers, data workflows, dashboards, internal tools, monitoring pipelines, and AI-assisted automation across Java, Python, Spring Boot, React, Angular, PostgreSQL, Redis, Kafka, Docker, and CI/CD.

Engineering Focus

Backend Systems      APIs · Services · Microservices · Data Workflows
Frontend Products    React · Angular · LWC · Dashboards · Clean UX
Data & Performance   PostgreSQL · Redis · Kafka · Query Tuning
AI Workflows         LLM APIs · FastAPI · Structured Automation
Delivery             CI/CD · Code Reviews · Testing · Production Support

Tech Stack

What I Optimize For

Ship clearly        readable code, clean handoffs, and practical documentation
Scale carefully     efficient data access, caching, batching, and safer releases
Debug deeply        logs, traces, root-cause analysis, and measurable fixes
Build responsibly   simple abstractions, strong validation, and maintainable systems

Open to Software Engineering, Backend, Full-Stack, and AI workflow roles.

Pinned Loading

  1. CalSync-AI CalSync-AI Public

    CalSync AI turns learning goals into structured plans and conflict-free schedules synced with Google Calendar using a local LLM.

    JavaScript

  2. Live-Sports-Intelligence Live-Sports-Intelligence Public

    Real-time sports video intelligence system that detects key plays and generates highlight clips using OCR, audio signals, and Kafka.

    Python

  3. Real-Time-System-Monitoring Real-Time-System-Monitoring Public

    Real-time monitoring pipeline using Kafka, Flink, PostgreSQL, and Grafana to stream metrics, detect anomalies (EWMA + 3σ), and visualize results.

    Python 3

  4. MyPortfolio MyPortfolio Public

    MERN-based developer portfolio with an admin dashboard for managing projects, skills, and experience dynamically without code changes.

    JavaScript

  5. Generating-Code-From-A-Graphical-User-Interface-Screenshot Generating-Code-From-A-Graphical-User-Interface-Screenshot Public

    PyTorch implementation of pix2code that converts GUI screenshots into DSL and generates HTML, iOS, or Android UI code.

    Jupyter Notebook

  6. Deep-Learning-for-Sentiment-Classification Deep-Learning-for-Sentiment-Classification Public

    Built a sentiment classifier using Word2Vec embeddings and an averaged perceptron, improving accuracy over sparse features.

    Jupyter Notebook