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DawoodShahzad61004/README.md
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dawood = {
    "role"       : "Associate Software Engineer",
    "location"   : "Lahore, Pakistan πŸ‡΅πŸ‡°",
    "education"  : "BS Computer Science β€” FAST NUCES (Final Year)",
    "origin"     : "Frontend β†’ Full-Stack β†’ AI Systems",
    "building"   : ["Agentic AI", "RAG Pipelines", "Intelligent Software Products"],
    "currently"  : "Designing multi-agent systems with self-learning feedback loops",
}

My engineering path started with React and frontend work, expanded into backend systems and full-stack development, and has now converged on something more interesting: building AI systems that think, retrieve, and act. I write code that wraps LLMs into production-grade products β€” not prototypes.


Currently Working On

Area What
Agentic AI Multi-agent pipelines with LangChain β€” orchestration, memory, tool use
RAG Systems Document ingestion, multi-step retrieval, self-checking workflows
Feedback Loops Self-learning agent architectures that improve without retraining
AI SaaS AI-content detection and humanization platform (production)

Current Focus

Full-Stack Engineering  ──────────────────────────► AI Systems Engineering
     [Past]                                              [Now β†’ Future]

  React / Node.js                               LangChain / ChromaDB
  REST APIs / SQL                               RAG / Vector Databases
  Auth Systems                                  Multi-Agent Orchestration
  CRUD Apps                                     Agentic Pipelines / LLMs

My near-term goal: ship AI-powered software products that solve real problems at the intersection of software engineering and intelligent systems.


Featured Projects

Student Learning App β€” Agentic RAG System

An end-to-end agentic retrieval system built for educational content.

  • Multi-step document ingestion pipeline with ChromaDB vector storage
  • Llama 3.1 8B as the reasoning backbone
  • Self-checking retrieval workflow with confidence scoring
  • Feedback learning loop β€” system improves responses based on query history
  • Engineered with LangChain agent chains and tool use

LangChain ChromaDB Llama 3.1 8B RAG Multi-Agent Python

Sync-Ops β€” Full-Stack Task Management System

Production-grade project management platform built for team workflows.

  • Role-based authentication with granular permission controls
  • Task assignment engine with status tracking and deadline management
  • Dashboard analytics β€” team velocity, task burn-down, user activity
  • Built on React + Node.js + Express + MSSQL

React.js Node.js Express.js MS SQL Server JWT Role-Based Auth

AI Tracer & Remover β€” SaaS Platform

A commercial SaaS product for AI-content detection and humanization.

  • AI-generated text detection engine with confidence scoring
  • Humanization workflow that preserves semantic intent
  • Full authentication system + subscription architecture
  • Designed for content creators, academics, and enterprises

SaaS AI Detection Humanization Subscription Auth REST APIs

Apna Bank β€” Secure Banking Application

Full-stack banking application with real-world security patterns.

  • JWT-based authentication with session management
  • Secure transaction engine β€” transfers, balance tracking, transaction history
  • Role separation between customer accounts and admin operations
  • React + Node.js + Express + MongoDB

React Node.js MongoDB JWT Express.js Secure Banking

Deep Learning Pseudo-Colorization of Grayscale Images

Applied deep learning research β€” automated colorization of B&W imagery using CNNs.

Deep Learning Computer Vision CNN Python

Cygnus-IV β€” NASA Asteroid Impact Simulator

Physics simulation tool for modeling asteroid trajectories and Earth impact scenarios.

Simulation Physics Modeling NASA Data

ADATRA Β· PRISM

Internal tools and research-grade software β€” details available on request.


Tech Stack

Languages

Python JavaScript C++ SQL C

AI & Agentic Systems

LangChain ChromaDB OpenAI RAG Multi-Agent Vector DB

Backend

Node.js Express.js REST API JWT

Frontend

React Redux Tailwind CSS HTML5 CSS3

Databases

MongoDB MS SQL Server MySQL ChromaDB

Tools & Workflow

Git GitHub Postman Swagger VS Code


πŸ“ˆ GitHub Activity


Roadmap β€” What's Next

2025 ──── Present ─────────────────────────── 2026+ ────────────────►

  Built
  β”œβ”€β”€ Multi-Agent Systems
  β”œβ”€β”€ RAG Pipelines
  β”œβ”€β”€ ChromaDB & Vector Search
  └── Full-Stack AI Applications

  Exploring Next
  β”œβ”€β”€ LangGraph Orchestration
  β”œβ”€β”€ LLM Fine-Tuning
  β”œβ”€β”€ LLMOps & Observability
  β”œβ”€β”€ Scalable AI APIs
  β”œβ”€β”€ Open-Source AI Infrastructure
  └── AI-First Product Development

The trajectory is clear: deeper into the engineering layer of AI β€” not just using models, but building the systems around them.


Experience Snapshot

Role Type Stack
Associate Software Engineer Current LangChain Β· ChromaDB Β· RAG Β· Multi-Agent Β· Python
Backend Developer Intern Previous Node.js Β· Express.js Β· REST APIs Β· SQL
React Developer Intern Previous React.js Β· JavaScript Β· Frontend Systems

FAST NUCES, Lahore Β· BS Computer Science (Final Year)

Full-Stack β†’ Systems Thinking β†’ AI Engineering


LinkedIn Email

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    PRISM is a web-based, inclusive biometric attendance system that uses face recognition, fingerprint verification, and liveness detection to prevent proxy attendance. It combines pre-trained AI mode…

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    A simple Task Management System for admins to create, assign, and track tasks efficiently.

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    A fully interactive web-based tool that visually demonstrates key CSS concepts like Flexbox, Grid, Box Model, and more.

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