Usama's Lab — Bridging Academia & Industry
Forging AI-powered
Senior AI/ML Engineer & Researcher translating cutting-edge research into production systems. Currently building at Lean Automation. Medical AI, industrial predictive maintenance, and causal inference. Not just code. Impact.
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Timeline
Professional Journey
4+ years of experience translating cutting-edge research into production-ready systems.
Mid-Senior AI/ML Engineer
February 2025 – PresentDesign and deploy scalable ML infrastructure processing 10,000+ sensor readings/second. Lead research initiatives in VAE-LSTM architectures for predictive maintenance.
- ›Built causal AI platform reducing false positives by 60%
- ›Deployed GPU-optimized inference systems with <20ms latency
- ›$4M+ annual savings through MLOps pipelines
- ›Published research findings in industrial AI
Junior AI Engineer
February 2024 – January 2025Conducted research on industrial anomaly detection achieving 92% accuracy. Built forecasting models using SEEQ for process optimization.
- ›Reduced equipment downtime by 20%
- ›Improved process efficiency by 12% using causal inference
- ›Contributed to 2 technical papers under review
- ›Created reusable ML components adopted across 5+ projects
Software Engineer
January 2023 – January 2024Engineered scalable web applications with React and Node.js. Integrated ML models into production systems via RESTful APIs.
- ›Optimized database queries reducing response time by 40%
- ›Built data visualization dashboards using Recharts and D3.js
- ›Implemented CI/CD pipelines for automated deployment
Lead Data Analyst
January 2022 – January 2023Led 500+ member community focused on ML and data science. Organized technical workshops and mentored students in machine learning projects.
- ›Organized 12 technical workshops on ML and data analytics
- ›Mentored 50+ students in machine learning projects
- ›Increased community engagement by 200%
Bachelor of Science in Computer Science
2021 – 2025Graduated with Honors. Specialization in Artificial Intelligence and Machine Learning. Final Year Thesis on Deep Learning Applications in Medical Imaging Classification.
- ›Dean's List recognition (Multiple semesters)
- ›Research Excellence Award nominee
- ›Thesis: 93.2% accuracy in brain tumor classification
Undergraduate Research Assistant
Fall 2023 – Spring 2024Assisted faculty in AI/ML research projects with a focus on medical imaging and natural language processing. Collaborated on academic paper development, data analysis, and model implementation over two academic semesters.
- ›Supported deep learning model training and evaluation for medical image classification
- ›Contributed to dataset cleaning, labeling, and feature engineering pipelines
- ›Co-authored a research paper and presented findings in departmental seminars
Portfolio
Featured Projects
Research-backed production systems delivering measurable impact across healthcare and industrial sectors.
Multi Class Brain Tumor Classification and Grade Estimation using Dual Head Neural Network
Dual-Head Neural Network leveraging EfficientNetB0 for multi-class tumor classification achieving 93.2% accuracy with extreme computational efficiency (4.0M parameters, 15ms inference).
A VAE LSTM Architecture for Early Fault Signatures, Time to Failure Projection, and Root Cause Pathway Analysis
VAE-LSTM architecture for industrial predictive maintenance with 48-hour advance fault detection. Achieved $2.3M annual savings with 20% downtime reduction.
HarmFilter App
Multi-model BiLSTM hate speech detection and prevention tool addressing harmful online content in South Asian contexts. Actively educates users to promote respectful online communities.
FarmGuardian
AI-based decision support system for Punjab farmers. Provides disease detection and yield forecasting through Urdu-based interface, helping minimize crop losses and optimize resources.
Eventure
Innovative tourist platform revolutionizing travel in Pakistan with personalized journeys, real-time security alerts, and seamless vendor integration for a dynamic travel experience.
Research Insights
Lab Notes
Technical deep-dives into AI/ML systems, research findings, and production engineering insights.
Building AI-Powered Predictive Maintenance Systems for Industrial IoT
Learn how we reduced unplanned downtime by 20% using VAE-LSTM pipelines. Deep dive into the architecture, challenges, and real-world deployment of industrial ML systems.
Deep Learning for Medical Imaging: Brain Tumor Classification with CNNs
How we achieved 96% accuracy in brain tumor classification using EfficientNetB0 and dual-head neural networks. Complete methodology and clinical validation results.
Causal AI for Industrial Anomaly Detection: Beyond Correlation
Discover how we implemented causal inference to identify root causes and reduced false positives by 60%. A paradigm shift from reactive alerts to proactive diagnosis.
Work in Progress
Workbench
Active experiments and prototypes. Things that are being built, broken, and rebuilt.
instrumental-pro
Enterprise safety system for oil & gas refineries - 60 plants using DCS, SFM, AVEVA PI data with microservices architecture
harmfilter-app
Multi-model BILSTM hate speech detection & prevention tool for South Asian contexts
farmguardian
AI-based decision support system for Punjab farmers with Urdu interface for disease detection & yield prediction
eventure-platform
Tourist platform for Pakistan with real-time security alerts, customized travel plans & local vendor integration