Rida Faisal

Senior Project · Flutter · Node.js · Express · MongoDB · Redis · Firebase · Socket.IO · Google Maps SDK

• Built a two-sided marketplace connecting EV drivers with private charger hosts, addressing Pakistan’s shortage of under 100 public EV chargers nationwide.
• Implemented end-to-end QR-secured charging sessions, real-time slot booking, and dynamic pricing using optimization models from published IEEE research
• Architected a layered backend with Node.js/Express REST API, Redis job queues, Socket.IO real-time chat, and Firebase push notifications
• Covers 28 use cases across 3 roles (Driver, Host, Admin); currently piloting in Lahore with 70 test users and 20–30 chargers
• Incubated at NIC Lahore

Figma · Atlas.ti · Qualitative Research

• Conducted 15 semi-structured interviews with women-owned home businesses across Pakistan, generating 989 open codes analyzed via thematic analysis in Atlas.ti.
• Identified entrepreneurial skill gap as the root barrier to business success across gendered, logistical, and digital literacy themes
• Designed Dori, a culturally-contextualized mobile app prototype featuring AI-powered voice practice, cohort-based mentorship, and a community forum for low-literacy users in Urdu/Roman Urdu

Unity · C# · Blender

• Designed and built a first-person psychological horror escape room set in LUMS’s CS lounge, featuring low-poly environments, NPC dialogue systems, and multi-phase puzzle progression.
• Modelled and textured 3D environments in Blender; implemented player interaction, inventory, and clue-discovery mechanics in Unity
• Embedded CS-specific Easter eggs and meta-puzzles (Network Security notes, algorithmic clues) for a LUMS-native narrative experience

C# · .NET 9 · SQL Server · Entity Framework Core · Docker · Kubernetes

• Built a location-aware fleet operations platform with dual business logic modes: LINQ-based manual planning and stored-procedure-based auto-dispatch.
• Implemented 5-role RBAC system, soft-delete triggers, audit logging, and a full trip lifecycle (Scheduled → InProgress → Completed)
• Deployed with Docker and Kubernetes; cloud-compatible with Azure SQL Database

Go · Distributed Systems (CS-582, LUMS)

Built a distributed key-value store using a ground-up implementation of the Raft consensus algorithm for leader election, log replication, and fault tolerance.

Python · pandas · scikit-learn · seaborn · DoWhy · matplotlib · Kaggle (Child Mind Institute)

• Built an end-to-end ML pipeline to predict internet use severity in children from physical activity and fitness data (3,960 participants, 82 features).
• Performed EDA, causal inference using DoWhy DAGs, and trained a Random Forest classifier achieving 69% accuracy on balanced data after addressing class imbalance via undersampling
• Reduced feature set from 47 to 26 using Mean Decrease in Impurity without significant accuracy loss; published full analysis on Medium