Syed Mustafa Badshah
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with less than a year in Machine Learning & Deep Learning
Performance-driven AI/ML Engineer with extensive experience designing, training, and deploying end-to-end intelligent systems, deep learning models, and Generative AI applications. Proven track record of architecting scalable, production-ready solutions, including an industrial vision pipeline for U.S. Denim Mills achieving 99.96% accuracy and secure log parsers using sequential architectures (LSTMs, GRUs). Proficient across the full development lifecycle from advanced data engineering and vector embeddings to automated n8n workflows, API design (FastAPI), and containerized cloud deployment (Azure, Docker, CI/CD). Recognized technical leader combining engineering rigor with an agile mindset to build, deploy, and scale impactful AI solutions.
Pak-Austria Fachhochschule Institute of Applied Sciences and Technology
Bachelor of Science in Computer Science (BSCS) · Generative AI Applications, Deep Learning, Cloud Native Systems
January 1, 2023 – October 1, 2026
Islamia College Peshawar
Intermediate · Pre-Engineering
N/A – January 1, 2022
GlaxIT
Student Ambassador
February 1, 2025 – March 1, 2026
Haripur, Khyber Pakhtunkhwa, Pakistan
Sino-Pak Center for AI
Artificial Intelligence & Computer Vision Apprentice
November 1, 2024 – Present
Haripur, Khyber Pakhtunkhwa, Pakistan
Advance Telecom Services (ATS)
Machine Learning Intern
July 1, 2024 – September 1, 2024
USA
Al Society, PAF-IAST
Vice President
August 1, 2023 – September 1, 2024
Haripur, Khyber Pakhtunkhwa, Pakistan
Industrial Al-Powered Fabric Classification System
January 1, 2022 – June 1, 2026
Co-developed a high-performance computer vision system to automate industrial fabric defect detection and classification with partners at U.S. Denim Mills. Designed and trained deep convolutional neural networks (CNNs), optimizing hyperparameters to achieve a breakthrough 99.96% classification accuracy. Built a highly scalable full-stack architecture integrating a FastAPI backend, React web dashboard, and a Flutter mobile application for real-time plant floor monitoring. Managed data persistence using relational databases (PostgreSQL) and exported optimized production weights in PyTorch format (.pt) for low-latency inference.
Windows Event Log Threat Classifier
January 1, 2022 – June 1, 2026
Developed an intelligent security monitoring system designed to parse, vectorize, and classify Windows Event Logs to detect sophisticated cyber threats. Implemented sequential deep learning models (LSTMs, Bi-LSTMs, and GRUs) to identify anomalous patterns in system log time-series data. Built automated preprocessing pipelines utilizing Python and n8n workflows to stream log data continuously into MongoDB for rapid threat indexing.
Al-Powered News Ninja
January 1, 2022 – June 1, 2026
Architected an automated news aggregation, text summarization, and broadcasting platform utilizing FastAPI and Streamlit. Designed a robust scraping layer using Bright Data API, feeding raw text into an LLM pipeline engineered for multi-source context synthesis and semantic summarization. Built automated agents to pass summarized output into text-to-speech pipelines (ElevenLabs and gTTS APIs) for dynamic daily AI audio briefings.
Context-Aware Medical Chatbot
January 1, 2022 – June 1, 2026
Developed a specialized healthcare chatbot using FastAPI, spaCy, and NLTK for automated medical query routing and intent recognition. Integrated Retrieval-Augmented Generation (RAG) principles to query structured medical data repositories, significantly reducing model hallucination and improving contextual response accuracy.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from industrial computer vision to cybersecurity and medical chatbots, indicates a broad interest and adaptability, which is a positive for cultural fit. Their involvement in academic societies and as a student ambassador suggests a proactive and collaborative mindset. The target role of AI Engineer aligns well with their stated core focus in education and professional experience, particularly in Generative AI Applications, Deep Learning, and Cloud Native Systems.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and communication skills through their roles as Vice President of the AI Society and Campus Director for the Hult Prize Foundation, where they spearheaded workshops and managed collaborations. Their project descriptions indicate an ability to work effectively in teams and manage complex technical initiatives. The focus on real-world applications and optimizing for performance suggests a results-oriented and practical approach.