JUSTech

Principal AI Engineering Lead

Provided technical leadership for AI-powered systems, intelligent automation workflows, and scalable software platforms, leading and mentoring a cross-functional team of AI and software engineers.

• Defined engineering standards, software architecture, and development best practices for AI applications, backend systems, APIs, and automation platforms.
• Oversaw the complete software development lifecycle, ensuring AI solutions were scalable, secure, reliable, and production-ready.
• Guided the integration of LLMs, machine learning models, REST APIs, databases, and third-party services into enterprise applications.
• Designed scalable automation workflows using AI orchestration platforms to eliminate manual processes and increase productivity.
• Conducted architecture reviews, code reviews, and technical mentoring to maintain engineering quality and accelerate team growth.

Technical Support

Developed a centralized project monitoring system that streamlines project tracking, milestone management, and progress reporting. The platform provides real-time visibility through interactive dashboards and automated notifications, helping teams and supervisors make informed decisions and improve project oversight. Highlights: • Built a responsive web application for project tracking and monitoring. • Implemented real-time dashboards for progress visualization. • Developed automated notification features to improve communication and task awareness. • Enhanced project transparency and reporting efficiency.

Full Stack Developer, Data Analyst

Developed an AI-powered text comprehension and knowledge extraction platform that leverages advanced Natural Language Processing (NLP) and machine learning technologies to analyze, summarize, and generate actionable insights from complex academic and research materials. Engineered the solution to automatically identify key concepts, extract critical information, and transform lengthy texts into concise, easy-to-understand summaries, significantly improving information accessibility and learning efficiency. The platform empowers students, researchers, and professionals to process large volumes of content more effectively, reducing reading and analysis time while enhancing comprehension and knowledge retention. By combining intelligent automation with user-centric design, the project demonstrates strong capabilities in AI application development, data analysis, and innovative problem-solving, delivering measurable value through improved productivity, streamlined research workflows, and enhanced decision-making.

AI Developer

Designed and developed an intelligent campus security solution that utilizes computer vision and real-time analytics to strengthen campus safety. The system automatically detects potential threats, monitors activities, and generates instant alerts to support rapid incident response and proactive security management. Highlights: • Developed an AI-driven surveillance system for automated threat detection. • Implemented real-time monitoring and alert notification mechanisms. • Enabled automated incident reporting and security analytics. • Improved situational awareness through intelligent monitoring capabilities.

AI Automation Engineer

Built an AI-powered B2B SaaS lead generation platform using n8n, LLM technologies, and workflow automation.

• Developed predictive analytics models to estimate property opportunity scores for real estate professionals.
• Designed AI-driven content generation workflows integrating Shopify, external APIs, and AI services.
• Built scalable automation pipelines using microservice architecture.
• Integrated multiple AI models and third-party services to automate business processes and improve operational efficiency.

Technical Assistant / AI Engineer

Developed AI-powered features for a centralized government research project management system using Laravel and Python.

• Built and trained a custom NLP model for automatic research title generation using historical project datasets.
• Designed and deployed Python REST APIs for seamless AI integration with Laravel applications.
• Implemented secure communication between AI microservices and backend systems.
• Improved scalability and maintainability through modular AI service architecture.

Machine Learning Developer / Data Analyst

Designed and trained a YOLOv8 computer vision model for real-time person detection and role classification.

• Built TensorFlow inference pipelines for high-performance image processing.
• Integrated machine learning models into Django backend applications through REST APIs.
• Optimized model accuracy and inference performance for production deployment.
• Collaborated with cross-functional teams to deploy AI solutions into production environments.

Full Stack Developer

Developed an AI-powered customer support platform using Django and Python, with context-aware response generation powered by Large Language Models.

• Built automated escalation workflows and intelligent logging systems for support operations.
• Designed scalable backend services and optimized API communication.
• Developed AI recommendation features using behavioral and search data.

Junior Full Stack Developer

Developed and maintained enterprise web applications, including an Applicant Tracking System, an AI-powered Parenting Support System using LLMs, and a Legal Document Analysis System.

• Developed backend services for email monitoring and financial monitoring platforms.
• Built responsive user interfaces and integrated third-party APIs.
• Participated throughout the full Software Development Lifecycle, including planning, development, testing, deployment, and maintenance.