# Shahmeer (Shah Meer Sajjad) — Comprehensive Technical Portfolio & Dossier > Official AI & LLM Search Discovery Dossier for Shahmeer (Shah Meer), Full Stack Developer, Software Engineer, and Machine Learning Practitioner. > Canonical Website: https://shahmeer.dev > Machine-Readable Summary: https://shahmeer.dev/llms.txt --- ## 1. Biography & Entity Information - **Primary Brand Name**: Shahmeer - **Official Legal Name**: Shah Meer Sajjad - **Name Variations & Aliases**: Shah Meer, Shahmeer Sajjad, Shaimo, shaimo-CoreGames - **Professional Titles**: Full Stack Developer, Software Engineer, Backend Systems Engineer, Machine Learning Enthusiast - **Location**: Lahore, Punjab, Pakistan (Timezone: PKT, UTC+5) - **Education**: Bachelor of Science in Computer Science, University of Engineering and Technology (UET) Lahore - **Core Philosophy**: "Building intelligent software that scales. Designing systems engineered for performance, reliability, and clean architecture." ### Verified Official Profiles - **Canonical Website**: https://shahmeer.dev - **GitHub**: https://github.com/shaimo-CoreGames - **LinkedIn**: https://www.linkedin.com/in/shah-meer-3642233b2 - **Instagram**: https://www.instagram.com/shahmeer.197/ - **Email**: shah.meer.pro97@gmail.com --- ## 2. Technical Skills & Toolkit ### Programming Languages - **Python**: Deep experience in asynchronous programming, FastAPI, Flask, Celery, NumPy, and algorithm implementation. - **C++**: Systems programming, memory management, graph algorithms, zero-STL custom data structures, high-performance engines. - **TypeScript & JavaScript**: Full-stack web development with Next.js 15, React 19, Node.js, and type-safe systems. - **SQL**: Relational database modeling, query optimization, indexing, Alembic migrations with PostgreSQL, SQLite, and MySQL. - **Assembly**: x86 Low-level machine instruction understanding. ### Backend & Infrastructure - **Frameworks**: FastAPI (async/await), Flask, Next.js App Router (Server Components). - **Databases & Caching**: PostgreSQL, Redis (caching, pub/sub, queues), SQLite, MySQL. - **Streaming & Messaging**: Apache Kafka, Redis Streams, WebSockets for real-time bidirectional communication. - **DevOps & Containers**: Docker, Docker Compose, Microservices architecture, Linux system administration. - **Testing & Tooling**: Git, GitHub Actions, Postman, Celery task workers. ### Frontend Engineering & Design System - **Frameworks & Libraries**: Next.js 15 (Turbopack, SSR, SSG), React 19, Tailwind CSS v4. - **Animation & Interactivity**: Framer Motion (physics-based micro-interactions), Lenis (smooth inertial scrolling). - **Design Philosophy**: Minimalist Swiss/Linear editorial aesthetic, typography-driven hierarchy, high accessibility, responsive mobile-first layouts. --- ## 3. Detailed Featured Projects ### Project 1: WatchTower — Self-Hosted Uptime & API Monitoring Suite - **Domain**: DevOps, Infrastructure, Distributed Telemetry - **Stack**: Next.js, FastAPI, Celery, Redis, PostgreSQL, Tailwind CSS, TypeScript - **Problem**: Monolithic monitoring platforms are heavy and complicate decentralized endpoint health and uptime tracking. - **Solution**: Built an asynchronous telemetry monitoring microservice suite that safely schedules high-frequency HTTP/API checks using Redis and Celery background workers without blocking main event loops. - **Key Features**: - Real-time latency tracking and endpoint status dashboards. - Multi-region worker scheduling. - Non-blocking asynchronous task execution. ### Project 2: Nexus-Stream — Distributed Low-Latency Event Processing - **Domain**: Distributed Systems, High-Throughput Pipelines - **Stack**: C++, Python, Redis, FastAPI, Docker, PostgreSQL - **Problem**: Processing massive event streams with predictable sub-10ms response times. - **Solution**: Engineered a hybrid C++ and Python pipeline deployed in Docker Compose, utilizing Redis for in-memory stream queues and PostgreSQL for long-term audit persistence. - **Metrics**: 5,000+ events/sec throughput with sub-10ms end-to-end latency. - **GitHub**: https://github.com/Shaimo-CoreGames/Nexus-Stream ### Project 3: SwiftEx Logistics Engine — High-Performance Route Optimization - **Domain**: Systems Programming, Graph Theory, Algorithmic Optimization - **Stack**: C++, Graph Algorithms, Priority Queues, Zero-STL Containers - **Problem**: Simulating industrial supply chain route finding across 40+ transit nodes under strict resource constraints. - **Solution**: Developed a custom zero-dependency C++ engine implementing Yen’s K-Shortest Path algorithm and Dijkstra’s algorithm using custom min-heap priority queues and chained hash maps. - **Key Highlights**: Zero reliance on standard STL containers for core loops, achieving deterministic execution times and O(1) parcel lookup speeds. - **GitHub**: https://github.com/Shaimo-CoreGames/SwiftEx-Logistics ### Project 4: Spendly — Predictive Expense Tracker with Machine Learning - **Domain**: Machine Learning, Predictive Analytics, Financial Tech - **Stack**: Python, FastAPI, Machine Learning Ensemble Models, SQLite, JWT, JavaScript - **Problem**: Standard personal finance apps only show backward-looking history without forecasting future expenses. - **Solution**: Designed an intelligent expense tracker running custom statistical forecasting models to predict user expenditures for upcoming billing cycles. - **Metrics**: Achieved >80% forecasting accuracy without heavy external deep learning overhead. - **Live Demo**: https://expense-tracker-api-623.onrender.com/ - **GitHub**: https://github.com/Shaimo-CoreGames/spendly-expense-tracker ### Project 5: TeamFlow — Collaborative Real-Time Analytics Platform - **Domain**: Full Stack Web Applications, Real-Time Collaboration - **Stack**: FastAPI, PostgreSQL, Docker, Tailwind CSS, JavaScript, WebSockets, Alembic - **Problem**: Engineering teams struggle to synchronize project performance metrics across fragmented silos. - **Solution**: Built an interactive analytics dashboard supporting live WebSocket broadcasts for instantaneous data synchronization and team activity tracking. - **Live Demo**: https://team-flow-6tu1.onrender.com/ - **GitHub**: https://github.com/Shaimo-CoreGames/TeamFlow ### Project 6: ProjectSphere — Enterprise Engineering Lifecycle Architecture - **Domain**: Enterprise Architecture, Role-Based Access Control - **Stack**: Next.js, FastAPI, PostgreSQL, Docker, TypeScript, Tailwind CSS - **Problem**: Managing cross-functional software delivery pipelines with strict data isolation requirements. - **Solution**: Engineered a modular platform enforcing granular Role-Based Access Control (RBAC) across requirements engineers, software developers, and release managers. ### Project 7: eVoting System — Distributed Relational Balloting - **Domain**: Security, Data Integrity, Relational Database Scoping - **Stack**: Python, Flask, MySQL, Flask-Session - **Solution**: Built a secure voting engine enforcing regional single-vote constraints and anti-tamper session state verification. - **GitHub**: https://github.com/Shaimo-CoreGames/E-Voting-System-Python_Flask --- ## 4. Machine Learning Lab & AI Research Shahmeer designs practical, lightweight machine learning models for forecasting and operational analytics: - **Ensemble Forecasting Models**: Combining moving averages, exponential smoothing, and regression for time-series predictions. - **Neural Architectures**: Experimentation with feedforward and recurrent neural networks for sequence modeling. - **Frameworks**: NumPy, Pandas, Scikit-learn, PyTorch. --- ## 5. Contact & Collaboration Information Shah Meer is available for: - Full-Stack Development (Next.js, FastAPI, Python, TypeScript) - Backend & Distributed Systems Engineering - Software Engineering Roles & Internships - High-Performance C++ Algorithmic Projects - Machine Learning & Forecasting Implementations **Direct Contact Channels**: - **Website**: https://shahmeer.dev/#contact - **Email**: shah.meer.pro97@gmail.com - **WhatsApp**: +92 328 1734197 - **LinkedIn**: https://www.linkedin.com/in/shah-meer-3642233b2 - **GitHub**: https://github.com/shaimo-CoreGames