AI and Platform Engineer with 10+ years of experience building AI-enabled products, developing data-driven applications, evaluating and improving large language models, and leading cross-functional technical projects. Experienced across Python, JavaScript, Node.js, SQL, REST APIs, AI model evaluation, multimodal systems, inference testing, automation, and product development.
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Multimodal AI data training, RLHF, reasoning benchmarks, prompt engineering, model alignment, and Agentic AI evaluation across text, code, image, and audio.
Digital transformation strategy, scalable platform architecture, IT infrastructure management, and technology governance for high-impact initiatives.
Building AI-enabled products and web applications using Python, JavaScript, Node.js, React, REST APIs, JSON data structures, and HTML/CSS.
Technical project leadership, requirement analysis, Agile team coordination, workflow design, and monitoring using JIRA, Notion, and Confluence.
Exploratory data analysis, SQL database queries, data validation automations, KPI design, and operational dashboards for engineering insights.
Computer science and MIS lecturing, UK & NEB curriculum delivery, applied learning materials, case study development, and academic mentoring.
End-to-end business operations, digital branding, promotional creatives, customer experience, and operational process standardization.
National sports committee leadership, performance tracking metrics, sports reasoning benchmarks, and grassroots team development.
Lead the organization's digital transformation strategy by aligning technology, AI, and innovation initiatives with organizational goals. Direct the development of secure, scalable digital platforms, overseeing software development, IT infrastructure, and technology governance while collaborating with healthcare professionals and strategic partners.
Support software, AI, and platform engineering projects from planning through delivery. Develop Python- and SQL-based data validation, reporting, and workflow automations. Analyze datasets including logs, JSON, and system outputs, building dashboards and operational reports to communicate engineering KPIs.
Resolved production software issues using browser developer tools, REST APIs, and log analysis. Investigated application defects, collaborated with engineering teams on permanent fixes, managed end-to-end troubleshooting, and conducted remote support sessions.
Managed software implementation projects across multiple clients. Coordinated Agile teams, timelines, onboarding, and stakeholder communication. Designed workflow documentation and performance monitoring systems using JIRA, Notion, and Confluence.
Analyzed business requirements for commercial banking and risk strategy projects. Worked extensively with SQL and SAS for data extraction and reporting, supporting operational risk mitigation initiatives and data-driven solutions.
Designed complex multimodal queries combining challenging visual inputs with detailed reasoning tasks to evaluate frontier AI models. Assessed and scored responses from multiple AI models using structured evaluation rubrics, benchmarking reasoning quality, factual accuracy, and instruction following.
Design complex multimodal evaluation tasks using challenging image-based prompts requiring advanced technical reasoning. Evaluate and benchmark frontier AI models for factual accuracy, logical reasoning, and instruction adherence.
Design sports reasoning benchmarks involving statistical analysis and historical data. Perform adversarial testing to identify reasoning failures in AI models and develop benchmark solutions with validated calculations.
Train and evaluate AI models through high-quality data creation, annotation, and validation. Perform RLHF-based evaluations across reasoning, coding, and multimodal tasks, identifying model failure modes and providing structured feedback to improve performance.
Create benchmark datasets and technical reasoning tasks for frontier AI systems. Evaluate AI-generated responses across programming, mathematics, and logical reasoning, developing structured rubrics to ensure consistent model evaluation quality.
Curate structured datasets, including JSON, for Agentic AI systems. Contribute to deep search and reasoning evaluation workflows and design rubrics and evaluation frameworks for consistent model assessment.
Performed multimodal AI evaluation across text, image, audio, video, search, and reasoning. Supported model alignment through high-quality STEM and non-STEM evaluations, conducted UAT testing across Grok web and mobile deployments, and mentored contributors.
Led QA reviews across AI annotation workflows, conducted contributor quality assessments and coaching, coordinated onboarding, and managed documentation using Notion and Whimsical.
Evaluated AI-generated responses for reasoning, factual accuracy, and usefulness. Created benchmark responses and detailed evaluation feedback, improving prompt quality and conversational performance.
Conducted Management Information Systems lectures and seminars. Developed applied learning materials and student case studies.
Taught A-Level Computer Science based on UK curriculum standards. Supported students during the transition to remote learning during COVID disruptions.
Delivered NEB Computer Science lectures and academic support. Prepared lesson plans, assessments, and examination materials while guiding student development.
Manage end-to-end operations of a vehicle rental business, including bookings, pricing, and customer coordination. Design marketing creatives, promotional posts, and video content for digital platforms using Photoshop, Canva, and video editing software while overseeing customer-facing design elements.
Managed restaurant operations, vendor coordination, and process standardization until operations were discontinued due to COVID-19 impact.
Managed hospitality operations, staffing, inventory, and customer engagement until business operations closed due to COVID-19 impact.
Serve as a permanent central committee member supporting national-level planning and organizational activities for dodgeball development. Represent the organization at district and local levels to facilitate team formation and grassroots expansion while coordinating with local stakeholders.
Led structured sports programs focused on student fitness, skill development, and performance improvement. Tracked and analyzed basic performance metrics to monitor progress, inform training adjustments, and report outcomes to school leadership.
Why high-quality data annotation & human review remain the foundation of reliable and scalable AI systems.
A realistic look at what it takes to run AI systems in production beyond demos, notebooks, and prototypes.
A practical, project-driven learning path for becoming an AI developer without relying on theory alone.
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