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AI Engineer with less than a year in Machine Learning, IoT, and Cloud Computing
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AI Engineer and Tech Entrepreneur currently pursuing a BS in Artificial Intelligence at NUST. Passionate about solving real-world problems through tech innovation, with deep expertise in Machine Learning, Deep Learning, autonomous agents, and cloud computing. Founder of an NIC Quetta-incubated startup and Technical/Financial Officer of a printing business, bridging the gap between advanced technical architectures and production-grade business operations.
National University of Sciences and Technology (NUST)
Bachelor of Science · Artificial Intelligence
September 1, 2024 – September 1, 2028
Metropolitan International United College (MIUC)
Higher Secondary School Certificate (HSSC)
September 1, 2022 – August 1, 2024
Hassle-Free Printing Business
Co-Founder, Technical & Financial Officer
November 1, 2025 – Present
Quetta, Balochistan, Pakistan
Aqualytica (HydroScan)
Founder & Tech Lead
June 1, 2025 – November 1, 2025
Quetta, Balochistan, Pakistan
VOD Cloud Platform: Adaptive HLS & Web3 DRM
April 1, 2026 – June 1, 2026
A decoupled cloud computing Video-on-Demand (VOD) streaming platform integrating Adaptive Bitrate (HLS) streaming and a decentralized Web3 DRM payment ecosystem.
View ProjectHussleFree-Pulse BI
April 1, 2026 – June 1, 2026
An intelligent Business Intelligence (BI) and automation tool developed for our printing business, leveraging ML models for churn prediction and demand forecasting.
View ProjectDeep Learning Image Classification Suite
March 1, 2026 – June 1, 2026
A collection of three CNN-based image classification projects covering animal recognition, fashion item classification, and everyday object detection.
View ProjectDistributed Computing Cluster (Dask)
March 1, 2026 – June 1, 2026
Configured a distributed computing cluster across networked PCs (Master/Worker) to offload heavy ML hyperparameter tuning and train models on large datasets in parallel.
View ProjectPneumonia Detection Using CNN Models
March 1, 2026 – June 1, 2026
Built and trained multiple deep learning CNN architectures to accurately classify and detect pneumonia from medical X-ray imagery.
View ProjectSelf-Correcting Autonomous Coding Agent
January 1, 2026 – June 1, 2026
An autonomous AI agent built with LangGraph that writes code, executes it, and automatically fixes bugs until the script runs successfully.
View ProjectSentinel AI: Decoupled Security Firewall for LLMs
December 1, 2025 – June 1, 2026
A lightweight, decoupled security firewall that detects adversarial prompt injections and jailbreaks in <50ms using Semantic Embeddings (MiniLM) and XGBoost.
View ProjectAI-Driven SD-WAN: Intelligent Traffic Classifier
December 1, 2025 – June 1, 2026
An AI-powered SD-WAN solution utilizing XGBoost for intelligent network traffic classification and dynamic path optimization, achieving 94.1% accuracy.
View ProjectLocal RAG Pipeline for Secure Contextual Q&A
August 1, 2025 – June 1, 2026
Architected a fully local Retrieval-Augmented Generation (RAG) pipeline to enable secure, context-aware document querying without exposing proprietary data to external APIs. Utilized LangChain to orchestrate the end-to-end workflow, integrating robust document loaders, text splitters for optimized chunking, and semantic vector search chains. Implemented ChromaDB as an embedded vector database to store and efficiently retrieve high-dimensional semantic embeddings generated from unstructured knowledge bases. Deployed open-source Large Language Models locally via Ollama in the backend, optimizing inference parameters to deliver precise, citation-backed answers grounded strictly in user-provided context.
HydroScan IoT Water Monitoring System
June 1, 2025 – June 1, 2026
Developed a hardware prototype for water quality monitoring using an Arduino microcontroller and analog sensors (pH, Turbidity, TDS) as a Digital Logic Design (DLD) project. Engineered the system to output sensor readings in a structured JSON format for seamless ingestion by a Python backend, serving as the Minimum Viable Product (MVP) for the Aqualytica startup.
BMI App
January 1, 2024 – January 1, 2025
Built a cross-platform text editor utilizing DSA stack concepts for Undo/Redo, and a 2-page GUI BMI application using OOP principles.
View ProjectQt Notepad
January 1, 2024 – January 1, 2025
Built a cross-platform text editor utilizing DSA stack concepts for Undo/Redo, and a 2-page GUI BMI application using OOP principles.
View ProjectProfessional Certificate in AI Agents
DeepLearning.AI
June 1, 2026 – Present
Student Entrepreneurship Fellow
MIUC Islamabad
June 1, 2026 – Present
Python Specialization
Professional Certification
June 1, 2026 – Present
Entrepreneurial Week Participant
Certificate in multiple activities
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from IoT and AI security to distributed computing and business intelligence, indicates a broad interest and adaptability. Their entrepreneurial background and involvement in a startup align well with a dynamic, innovative culture. The pursuit of a BS in AI at NUST and various certifications demonstrate a commitment to continuous learning and growth, which is a strong cultural fit for a tech-driven role. The projects show a blend of academic rigor and practical application, suggesting a candidate who can bridge theoretical knowledge with real-world implementation.
Soft Skills & Operational Fit
The candidate demonstrates strong entrepreneurial spirit, leadership, and project management skills through their startup experience and project descriptions. Their ability to translate university projects into incubated startups (Aqualytica) highlights initiative and practical application of technical knowledge. The descriptions are clear and concise, indicating good communication skills. The focus on real-world problem-solving (e.g., water monitoring, secure Q&A, traffic classification) suggests a results-oriented approach.