Engineering Intelligent AI & Full-Stack Systems.
Computer Systems Engineering student at UET Peshawar. Specializing in production LLM applications, autonomous agents, full-stack web platforms, and applied hydrological machine learning research.
About Me.
Combining machine learning principles, modern software architecture, and real-world domain engineering.
I am a Computer Systems Engineering student at UET Peshawar, combining artificial intelligence engineering, machine learning pipelines, and full-stack software development.
My engineering work spans the entire stack: from training and evaluating ML models, engineering retrieval-augmented (RAG) agentic pipelines with LangChain and vector indexes, to architecting reliable REST APIs and responsive web interfaces with Next.js and PostgreSQL.
Currently, my primary research focus is an AI-assisted flood early-warning system for the Nowshera/Kabul River basin in Pakistan, exploring how hydrological discharge records, IoT telemetry, and predictive machine learning can mitigate disaster risk.
I also serve as Lead AI at the Computer Cell Society and contribute to applied research activities at SID Lab (Secured IoT Devices Lab).
Academic Background & Metrics
BS Computer Systems Engineering
Final-year / 7th-semester student
University of Engineering and Technology (UET), Peshawar
Dept of Computer Systems Eng.
Class Topper
Matriculation: 1070/1100
Experience & Leadership.
Applied research appointments, software development positions, and academic leadership initiatives.
SID Lab — Secured IoT Devices Lab
Involved in research activities focused on IoT security and intelligent systems. Contributing to the AI + IoT flood early-warning research as part of final-year project work.
Algorithm Software
Participating in web-development learning and work experience. Development progression through HTML, CSS, JavaScript, React, Next.js, and backend development.
Computer Cell Society
Leading AI-related initiatives and technical collaboration within the Computer Cell Society. Supporting AI-focused learning and community engagement.
NCBC
Previous experience with AI-related projects and development work.
Selected Projects.
Case studies covering predictive hydrological models, production full-stack platforms, autonomous workflows, and retrieval-augmented systems.
AI + IoT Flood Early-Warning System
Final-Year Research Project
The Problem
Communities in the Nowshera/Kabul River region of Pakistan face recurring flood risks. Existing warning systems often lack localized, data-driven forecasting capabilities that could support earlier flood-risk awareness.
Proposed Solution & Methodology
Exploring how machine learning, hydrological data, and IoT-based monitoring can support localized flood-risk forecasting and early-warning decisions.
Architecture & Components
The project combines hydrological discharge data analysis, machine-learning forecasting experiments, potential IoT sensor telemetry, dashboard-based monitoring, and SMS alert mechanisms as planned system components.
Key Technologies
LoanFlow
Loan Application Management System
Managing and tracking loan application records requires a reliable system with proper authentication, role-based access control, and clean data persistence.
Business Automation Suite
Client Project — Plumber Services, Canada
A plumbing business in Canada needed to automate customer communication, reduce missed calls, and streamline lead capture through AI-assisted workflows.
SentinelAI
AI-Based Disinformation Intelligence System
Detecting coordinated misinformation narratives requires analyzing patterns across content without targeting individuals, while providing explainable indicators for human interpretation.
CareerGPT
AI Career Guidance Chatbot
Students and professionals often lack personalized, accessible career guidance tailored to their skills and aspirations.
Web Page Summarization Chatbot
RAG-Powered Content Analysis Tool
Extracting structured insights from web content requires crawling, summarization, keyword analysis, and the ability to interactively query the extracted information.
Technical Skills.
Technologies and frameworks utilized across production applications, machine learning experiments, and autonomous systems.
AI & Machine Learning
11 tools & frameworksLLM Applications & Automation
7 tools & frameworksFrontend Engineering
7 tools & frameworksBackend & Databases
9 tools & frameworksTools & Development
6 tools & frameworksFeatured Research
Applied machine learning and hydrological telemetry research focused on disaster preparedness and early hazard mitigation.
AI + IoT Hydrological Flood Early-Warning System
Regional Focus: Nowshera & Kabul River Basin, Khyber Pakhtunkhwa, Pakistan
Catastrophic Flash & Riverine Flood Vulnerability
Communities in the Nowshera/Kabul River region of Pakistan face recurring flood risks. Existing warning systems often lack localized, data-driven forecasting capabilities that could support earlier flood-risk awareness.
Data-Driven Lead Time for Community Action
Targeting a 6 to 12-hour advance advisory window using predictive discharge modeling, giving local authorities and vulnerable riverside residents actionable preparation time before flood peaks arrive.
Hydrological Inputs
River gauge discharge measurements, water-level trends, and upstream runoff telemetry across the Kabul River basin, incorporating historical high-water events.
Machine Learning Approaches
Time-series regression models, anomaly detection, and sequence forecasting (LSTM/GRU and gradient boosted decision trees) trained on historical flood hydrographs.
Telemetry & Edge Prototyping
Ultrasonic and hydrostatic water-level sensor telemetry prototypes sending data over GSM/cellular networks for centralized ingestion and analysis.
Data Sources
- River gauge telemetry
- Historical discharge logs
- Precipitation datasets
ML Processing
- Feature normalization
- Time-series regression
- Surge trend projection
Risk Assessment
- Hydrological thresholds
- Confidence metrics
- Severity classification
Warning Delivery
- Web telemetry dashboard
- Automated SMS alerts
- Municipal dispatch log
This is ongoing research. Some components are under development or evaluation. The system is not yet deployed or proven to prevent loss of life.
Key milestones under active engineering and scientific exploration:
- →Direct physical deployment and calibration of low-power IoT telemetry stations along the Nowshera riverbank.
- →Continuous data pipeline streaming to cloud inference endpoints for real-time validation.
- →Localized community alert drills and offline-first broadcast integration.
Certificates & Achievements
Verified technical certifications and academic milestones demonstrating continuous learning and recognized excellence. Click any certificate to preview directly on-page.
Certificate Gallery
9 Verified Credentials
ImageSupervised Machine Learning: Regression and Classification
Coursera / DeepLearning.AI & Stanford University
January 15, 2025
Advanced Learning Algorithms
Advanced Learning Algorithms
Coursera / DeepLearning.AI & Stanford University
May 3, 2025
Machine Learning
Machine Learning
Coursera / DeepLearning.AI & Stanford University
AI for Beginners
AI for Beginners
HP LIFE
December 12, 2024
Programming with C++
Programming with C++
Coursera / Simplilearn
February 5, 2025
Wireshark 101: Packet Analysis Essentials
Wireshark 101: Packet Analysis Essentials
Coursera / Pearson
June 5, 2026
Claude AI Agent Development
Claude AI Agent Development
Anthropic
ImagePython Programming
Signal Processing Onramp
Signal Processing Onramp
MathWorks
December 4, 2025
Key Achievements & Recognition
8 HonorsClass Topper
BS Computer Systems Engineering, UET Peshawar
Ideathon Winner
Qwenathon Winner
Runner-up — National AI Excellence
Prime Minister Laptop Program Winner
CGPA: 3.8/4.0
UET Peshawar
Matriculation: 1070/1100
ETEA: 88/100
What I Can Help Build
Areas where I contribute end-to-end technical leadership, robust system design, and AI integration.
AI-Powered Web Applications
Full-stack applications with integrated AI capabilities, from LLM-powered features to intelligent data processing.
LLM Chatbots & Assistants
Conversational AI systems using retrieval-augmented generation, LangChain, and custom knowledge bases.
Business Workflow Automation
Intelligent automation workflows using n8n, Make.com, and API integrations to streamline business operations.
WhatsApp & Website Integrations
Customer-support chatbots and communication automation for WhatsApp and website channels.
API Integration & Backend
REST API design, database architecture, authentication systems, and third-party service integrations.
AI Proof-of-Concept Development
Rapid prototyping and validation of AI-powered product ideas, from concept to working demonstration.
How I Work
A structured, iterative engineering approach from requirements to production deployment.
Understand
Define the problem, identify requirements, and understand the context and constraints.
Design
Plan the solution architecture, define workflows, and establish the technical approach.
Build
Implement the solution with clean code, proper testing, and iterative development.
Test & Refine
Validate functionality, gather feedback, and refine the implementation.
Document & Deliver
Ensure proper documentation, deployment guidance, and knowledge transfer.
Let's Build Together.
Have an AI engineering idea, a software challenge, or research opportunity? Send a message directly to mubasiranwar70@gmail.com.
Send a Direct Message
Delivered directly to mubasiranwar70@gmail.com