m
maaz_khaled

Maaz K

@maaz_khaled

AI Systems Engineer, RAG, MLOps, Computer Vision

Pakistan
Anglais, Ourdou
Certaines informations sont présentées en anglais.
À propos de moi
I’m Maaz Khaled, an AI Systems Engineer specializing in RAG chatbots, AI automation, document intelligence, computer vision, and geospatial dashboards. I build complete AI systems from backend APIs and model integration to deployment and evaluation. My focus is not just demos, but reliable, scalable, and maintainable solutions that solve real business problems.... Plus d’infos

Compétences

m
maaz_khaled
Maaz K
hors ligne • 

Voir mes services

Intégrations IA
I will build custom ai chatbot with rag
De90 $US / projetPlus de détails

Portfolio

Expérience professionnelle

Freelancing_Career

Freelancing Career

Temps plein • 2 yrs 3 mos

Data Scientist - R2V Private Limited

Jan 2025 - Present • 1 yr 5 mos

• Architected a web-based geospatial analytics application supporting dynamic spatial analysis, feature search, spatial filters, export workflows and stakeholder dashboards for urban planning. • Built Python/PostGIS data pipelines for large geospatial datasets, implementing spatial querying, geoprocessing functions and map-rendering workflows. • Designed and maintained GitLab CI/CD pipelines for application deployments, including syntax checks, security scanning, environment validation, Django system checks, automated tests and production health checks. • Implemented remote deployment workflows across 9+ production VMs using protected CI variables, masked secrets, rollback tagging and post-deploy verification for application, GeoServer, database and web-server services. • Integrated open-source geospatial APIs and collaborated with analysts/designers to improve scalability, performance, interoperability and documentation.

Data Scientist and Web Developer - Podify

Jun 2024 - Jan 2025 • 7 mos

• Developed and optimized responsive WordPress solutions using custom themes/plugins, while producing analytics-driven performance reports to improve UX, content strategy, site speed, and stakeholder decision-making.

Deep Learning Engineer Intern - LIMS

May 2024 - Aug 2024 • 3 mos

• Cleaned agricultural image datasets and trained/evaluated a plant-disease classifier achieving 93% accuracy across 30+ classes.