Lahore District, Punjab, Pakistan
Tech Lead and Full-Stack Software Engineer with 7 years of experience building scalable enterprise applications, backend systems, and AI-powered platforms. Experienced across Java, Spring Boot, JavaScript/TypeScript, React, Python, cloud technologies, and distributed systems, with a strong track record of delivering high-impact products and leading engineering teams. I have specialized in RLHF, AI model evaluation, and synthetic data generation, designing reinforcement learning environments that simulate real-world software engineering workflows for frontier AI models. I have led the development of RL gyms, synthetic data pipelines, and evaluation systems used by leading AI labs, while also driving a 2× throughput improvement across an enterprise payments platform serving 248 clients and leading teams that delivered a 20% productivity increase. My expertise spans software engineering, AI training data, terminal-based workflows, large codebase reasoning, and building systems that bridge research and production. If you're hiring for RL infrastructure, synthetic data, AI evaluation, or agentic systems engineering - let's talk. [email protected]
Reinforcement Learning Gym Development: - Design and develop tooling infrastructure for RL gym environments, enabling scalable model training and experimentation - Build and maintain database systems to track experiment metrics, agent performance, and training trajectories across multiple RL environments - Architect user journey frameworks for AI agent interactions, enabling systematic evaluation of agent behavior and decision-making processes - Collaborate with research teams to define gym environment specifications and evaluation protocols for RL agents - Lead code reviews for evaluation infrastructure, RL gym tooling, database implementations, and research codebases - Collaborate with cross-functional engineering teams to integrate evaluation processes and RL tooling into model development workflows
- Design and execute comprehensive evaluation frameworks for AI models, including performance benchmarking, safety assessments, and capability testing across diverse domains - Conduct comparative analyses of different training approaches, and fine-tuning techniques - Research and implement evaluation metrics for emerging AI capabilities such as reasoning, code generation, and multimodal understanding - Lead experimental research projects to identify failure modes, edge cases, and potential risks in AI systems ----------------------------- Technical Leadership: - Participate in code reviews for evaluation infrastructure, testing frameworks, and research codebases - Provide technical guidance on evaluation tool development and automated testing pipelines - Collaborate with engineering teams to integrate evaluation processes into model development workflows - Mentor junior researchers and engineers on evaluation methodologies and technical implementation ----------------------------- Strategic and Collaborative Duties: - Present findings and recommendations to stakeholders, including technical teams and executive leadership - Collaborate with cross-functional teams including engineers, engineering managers, and researchers ----------------------------- Documentation and Communication: - Maintain comprehensive documentation of evaluation procedures, results, and methodological decisions - Prepare technical reports and summaries for both technical and non-technical audiences - Lead knowledge sharing sessions and present research updates to internal teams - Contribute to the development of evaluation guidelines and organizational standards for AI model assessment
Provide one-on-one mentorship to aspiring software engineers, helping them to navigate their learning paths, overcome challenges, and achieve their career goals. Leverage my knowledge in software development, programming languages, and frameworks to assist mentees in building projects and portfolios. Monitor mentee progress through bi-weekly check-ins, providing constructive feedback and resources to support their continuous improvement.
Driving the end-to-end development of Mock Talent, a platform designed to bridge the gap between academia and industry by offering realistic mock interview experiences and career insights tailored for developers. I'm responsible for building the core architecture, implementing key features, and ensuring a seamless user experience. In addition to development, I’m focused on aligning the product with industry needs and creating valuable tools to support candidates in achieving their tech career goals
Delivering Training Sessions: Conduct engaging and informative training sessions on Microsoft products and technologies to individuals or groups of learners. Adapt training materials to meet the specific needs of the audience. Demonstrating Product Knowledge: Showcase an in-depth understanding of Microsoft technologies, including software applications, operating systems, cloud services, and development tools. Stay up to date with the latest Microsoft updates, features, and releases. Creating Training Materials: Develop and customize training materials such as presentations, hands-on labs, demos, and exercises. Ensure the materials are accurate, comprehensive, and aligned with Microsoft's official curriculum.
Microsoft Most Valuable Professional (MVP) in Developer Technologies