AI Trainer | LLM Evaluator | Full Stack Engineer
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I’m a Full Stack Developer and AI Evaluator with experience in building scalable web applications and working on AI-related evaluation and annotation tasks. My background includes working with modern technologies such as React, Next.js, Node.js, Ruby on Rails, and AI-powered workflows.
Alongside software engineering, I’m highly interested in Large Language Models (LLMs), AI response evaluation, prompt analysis, and content quality assessment. I enjoy analyzing AI-generated outputs for accuracy, clarity, reasoning quality, and user experience.
I’m detail oriented, adaptive, and comfortable working in remote environments. I enjoy solving problems, learning new technologies, and contributing to projects that combine AI with real-world user experiences.
Software Engineer — Devsinc
Lahore, Punjab, Pakistan | On-site
Feb 2022 – Present
Engineered and enhanced core web application features using Python, Ruby on Rails, GraphQL, and the MERN stack
Streamlined transaction flows and optimized platform performance, contributing to a 25% increase in customer retention
Designed and integrated scalable REST and GraphQL APIs for modern web applications
Participated in feature development, debugging, testing, and performance optimization
Worked closely with engineering teams in Agile development environments
Associate Software Engineer — Agile17
Lahore, Punjab, Pakistan | Hybrid
Jan 2020 – Jan 2022
Contributed to development of a high-availability marketplace platform using Ruby on Rails supporting over 1 million users with 99.9% uptime
Developed scalable APIs integrating Stripe and TaxCloud, processing over 100K monthly transactions
Built backend services using Python and Node.js, improving application response times by 25%
Worked on full-stack development, API integrations, and scalable backend systems
Collaborated with teams to deliver secure, maintainable, and high-performance applications
AI Trainer & Data Annotation Specialist — Mindrift, Turing & Capture Atlas
Remote | Freelance / Contract
2024 – Present
Evaluated AI-generated responses for factual accuracy, reasoning quality, tone, and clarity
Performed annotation, labeling, ranking, and validation tasks for Large Language Models (LLMs)
Reviewed prompts and model outputs to identify hallucinations, inconsistencies, and low-quality responses
Contributed to AI training workflows involving content evaluation, response comparison, and prompt assessment
Worked on AI data enrichment and quality assurance tasks across multiple AI platforms
Assisted in improving model behavior through structured feedback and detailed evaluation reports
Bachelor of Science (BS) in Computer Science
Feb 2016 – Feb 2020
Activities & Societies:
CITS: Led technical workshops and coding challenges to support peer learning and technical growth
ACM: Organized hackathons and collaborative research activities focused on computing technologies
IEEE: Coordinated events and innovation focused activities related to electronics and robotics
Strengthened programming, teamwork, and problem solving skills through competitions and collaborative projects
Applied Git and GitHub for version control and team based academic development
Developed frontend and web development skills using CSS3 and Bootstrap in practical assignments and projects
