Last login: Sat Aug 8 15:35:07 on ttys000
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~/Full-Stack/AI-Engineer
AVAILABLE
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Ayan

Shahid

Get In Touch
IslamabadPakistan
Executing log retrieval: ./experience.sh
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~/Experience/Log
ACTIVE
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~/Education
[1/6]
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FAST NUCES

// ORG: B.S. Computer Science — Robotics Specialization
// LOG_DATE: Aug 2022 — Present
  • >_Focused on full-stack engineering and system architecture.
  • >_Developed advanced knowledge in algorithms, AI, and secure databases.
2022
╰─SECUREAug 2022 — Present
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~/Internship
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Full-Stack Engineering Intern

// ORG: Sarvex
// LOG_DATE: Jul 2026 — Aug 2026
  • >_Successfully completed the Zero to One Internship Program and contributed meaningfully to the technical architecture and development of ZORA.
  • >_Built the Sarvex website from scratch using Next.js and integrated the Claude API to implement a custom chatbot.
2026
╰─SECUREJul 2026 — Aug 2026
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~/Internship
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Full-Stack Developer Intern

// ORG: Nova Technorum
// LOG_DATE: Aug 2025 — Sep 2025
  • >_Built a full-stack web application integrating a fine-tuned RoBERTa model for AI-powered automation.
  • >_Developed the frontend in Streamlit and designed/deployed APIs with FastAPI to serve ML predictions.
  • >_Implemented persistent data handling and storage with PostgreSQL.
2025
╰─SECUREAug 2025 — Sep 2025
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~/Internship
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Android Developer Intern

// ORG: Algorizms
// LOG_DATE: Jul 2025 — Sep 2025
  • >_Contributed to a large-scale trucking logistics mobile application built with React Native.
  • >_Integrated APIs for real-time logistics updates, working closely with backend teams.
2025
╰─SECUREJul 2025 — Sep 2025
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~/Certification
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IBM Machine Learning Professional

// ORG: IBM via Coursera
// LOG_DATE: Apr 26, 2026
  • >_Completed 6-course curriculum in Supervised, Unsupervised, Deep, and Reinforcement Learning.
  • >_Applied statistical modeling: Exploratory Data Analysis, Time Series, and Survival Analysis.
  • >_Designed and trained predictive ML pipelines through a production Capstone project.
2026
╰─SECUREApr 26, 2026
verify_credential
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~/Certification
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Meta Full Stack Developer

// ORG: Meta via Coursera
// LOG_DATE: Oct 24, 2025
  • >_Completed 10-course specialization spanning frontend, backend, and API architectures.
  • >_Engineered full-stack applications with React, Advanced React, Django, and Python.
  • >_Developed secure database structures, version-control workflows, and RESTful APIs.
2025
╰─SECUREOct 24, 2025
verify_credential
Executing dependency analysis: ./manifest.sh
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~/Skills/AI/ML&NLP
COMPILED
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~/Skills/AI/ML&NLP
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AI / ML & NLP

// DOMAIN: AI / ML & NLP
// SYS_ID: SYS.01
>_pkg load Supervised & Unsupervised Learning
>_pkg load Deep Learning
>_pkg load Reinforcement Learning
>_pkg load Time Series Analysis
>_pkg load Survival Analysis
>_pkg load Generative AI
>_pkg load Fine-Tuned Models (RoBERTa)
>_pkg load Hybrid RAG — Dense & Sparse Vectors
SYS.01
╰─SYSTEM_READY—8 DEPS
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~/Skills/Languages
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Languages

// DOMAIN: LANGUAGES
// SYS_ID: SYS.02
>_pkg load Python
>_pkg load TypeScript
>_pkg load JavaScript
>_pkg load C
>_pkg load C++
>_pkg load Java
>_pkg load PHP
>_pkg load SQL
>_pkg load HTML
>_pkg load CSS
SYS.02
╰─SYSTEM_READY—10 DEPS
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~/Skills/Frameworks&Mobile
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Frameworks & Mobile

// DOMAIN: FRAMEWORKS & MOBILE
// SYS_ID: SYS.03
>_pkg load Next.js
>_pkg load React.js
>_pkg load React Native
>_pkg load Streamlit
>_pkg load Flutter
SYS.03
╰─SYSTEM_READY—5 DEPS
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~/Skills/Backend&Databases
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Backend & Databases

// DOMAIN: BACKEND & DATABASES
// SYS_ID: SYS.04
>_pkg load FastAPI
>_pkg load Node.js
>_pkg load PostgreSQL
>_pkg load MongoDB
>_pkg load Firebase
SYS.04
╰─SYSTEM_READY—5 DEPS
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~/Skills/DevOps&Tools
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DevOps & Tools

// DOMAIN: DEVOPS & TOOLS
// SYS_ID: SYS.05
>_pkg load Docker
>_pkg load Android Studio
>_pkg load Claude API
SYS.05
╰─SYSTEM_READY—3 DEPS
Executing log retrieval: ./projects.sh
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~/Projects/BuildLog
TARGETS
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~/Projects/LegalMind
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P.01

LegalMind

// SUMMARY: Final year project — a secure, role-based legal collaboration platform.

>_A secure legal platform (FYP 1 completed, advancing to FYP 2) with distinct role-based access for Junior Lawyers, Senior Lawyers, Admins, and Clients — combining AI drafting with a hardened document pipeline.

  • [*]Implemented a Hybrid RAG architecture using both dense and sparse vectors to optimize legal document retrieval and AI-assisted drafting.
  • [*]Engineered a Zero-Trust architecture featuring Envelope Encryption to fully secure document collaboration and real-time WebSocket communications.
  • [*]Developed and integrated a comprehensive team collaboration module to streamline case management and encrypted internal communications.
Hybrid RAG
WebSockets
Envelope Encryption
Zero-Trust Architecture
╰─BUILD_SUCCESSSECTOR P.01
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~/Projects/AI-Powered_Insurance_Claim_Triage_System
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P.02

AI-Powered Insurance Claim Triage System

// SUMMARY: NLP system classifying insurance claims into risk categories with explainable AI.

>_An NLP-driven triage engine that classifies incoming insurance claims into risk categories and surfaces explainable AI insights for reviewers.

  • [*]Integrated a fine-tuned RoBERTa model for automated risk classification and explainable AI insights.
  • [*]Applied advanced Exploratory Data Analysis (EDA) and preprocessing techniques to optimize model performance.
RoBERTa
NLP
Explainable AI
EDA
╰─BUILD_SUCCESSSECTOR P.02
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~/Projects/E-Commerce_Store
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P.03

E-Commerce Store

// SUMMARY: Cross-platform mobile storefront with integrated payments.

>_A cross-platform mobile shopping app with a Firebase backend and integrated Stripe checkout.

  • [*]Cross-platform mobile app built with Flutter for iOS and Android from one codebase.
  • [*]Firebase-backed catalog, auth, and order data.
  • [*]Integrated Stripe payments for end-to-end checkout.
Flutter
Firebase
Stripe
╰─BUILD_SUCCESSSECTOR P.03
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P.04

System Files Extractor

// SUMMARY: Desktop utility for scanning and extracting user files.

>_A desktop application for scanning a machine and extracting targeted user files through a lightweight Tkinter interface.

  • [*]Desktop scanning engine built in Python with a Tkinter interface.
  • [*]PHP/SQL layer for structured storage and lookup of extracted file metadata.
Python
PHP
SQL
Tkinter
╰─BUILD_SUCCESSSECTOR P.04