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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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Daniyal0100101/README.md
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LinkedIn Email AWS Certified AI Practitioner Google Career Certificates Lahore, Pakistan


Full-stack engineer building applied AI products that stay clear, inspectable, and useful with Python/FastAPI, React/Next.js, and LLM integrations.


What I build

  • Practical AI tools with Python backends, React interfaces, and clear user flows
  • Agentic systems that combine LLMs, state, workflows, and human-in-the-loop controls
  • Working vertical slices where reliability and execution matter more than novelty

Selected Projects

🛡️ AegisFlow

Multi-agent operational decision simulator with workflow orchestration, critic review, and human override.

  • Workflow graph engine with specialist agents, critic review, consensus resolution, and deterministic state mutation
  • Multi-domain simulation support across clinical triage, disaster response, and supply-chain coordination
  • Dockerized FastAPI + Next.js stack with sandbox/live Gemini execution and audit trail

FastAPI Next.js Gemini Docker Multi-Agent Systems Python

🚨 RescueRoute AI

Autonomous disaster-response fleet coordination system built solo in 48h at a LabLab hackathon.

  • A* pathfinding over a 2,500-cell dynamic grid with live obstacle avoidance
  • SSE real-time sync at 1-second refresh cycles
  • 3-tier microservice architecture with 2,100+ LOC under hackathon constraints

FastAPI Next.js Gemini AI SSE Python

🧬 OncoTriage AI

Genomic variant review copilot for clinical decision-support workflows.

  • Evidence lookup pipeline decoupled from model scoring to reduce overclaiming
  • Explicit inference-failure handling with safe LIVE / DEMO fallback modes
  • Visible provenance tracking designed into the review flow from the start

Streamlit NVIDIA NIM Evo 2 ClinVar Python

✍️ AI Prompt Optimizer

Web app for structured LLM prompt refinement, comparison, and output evaluation.

  • Production-ready deployment on Vercel
  • Built around prompt iteration, output comparison, and fast developer feedback
  • Simple production workflow with one-click copy and structured result views

Next.js Gemini API Vercel

Stack

Skills


Activity

Activity Graph


Currently

Building applied AI systems around agentic workflows, decision-support tooling, and full-stack product execution. Open to remote AI/full-stack engineering roles where the work is real and the bar is worth clearing.

Pinned Loading

  1. YT-Video-Summarizer YT-Video-Summarizer Public

    A fast, clean web app that uses Gemini AI to generate intelligent summaries of YouTube videos. Just paste a link to get an instant summary, view the full transcript, and ask smart follow-up questio…

    JavaScript

  2. prompt-optimizer prompt-optimizer Public

    This is a Next.js application designed to enhance the effectiveness of Large Language Model (LLM) interactions by leveraging the Gemini API for prompt optimization. It aims to improve the quality a…

    TypeScript

  3. autonomous-disaster-fleet autonomous-disaster-fleet Public

    Autonomous disaster-response robot fleet simulation using Python, FastAPI, Gemini AI, and Next.js, built for the Lablab.ai Hackathon.

    Python

  4. oncotriage-ai oncotriage-ai Public

    Research-use hereditary cancer variant review copilot for BRCA-focused triage, batch scoring, evidence summaries, and demo-mode evaluation.

    Python

  5. JARVIS-Autonomous-AI-Assistant JARVIS-Autonomous-AI-Assistant Public

    An advanced, Jarvis-inspired AI assistant featuring seamless voice and text interaction, intelligent system automation, and powerful AI-driven tools for image generation, analysis, and comprehensiv…

    Python 2