Shashank Kumar Srivastava

◦ Annotated, validated, and reviewed 120,000+ image and text data samples to support machine learning and Large Language Model (LLM) training initiatives while maintaining 98%+ quality accuracy. ◦ Evaluated AI-generated responses for accuracy, relevance, factuality, safety, instruction-following, and overall response quality as part of RLHF and model evaluation workflows. ◦ Performed prompt evaluation, response ranking, and preference assessments to improve model alignment with human expectations and project objectives. ◦ Identified and documented edge cases, annotation inconsistencies, and model failure patterns, enabling continuous improvement of AI training datasets and evaluation processes. ◦ Executed image annotation, classification, categorization, and content moderation tasks across diverse datasets while adhering to detailed annotation guidelines. ◦ Conducted data quality assurance reviews and compliance checks, contributing to a 15%+ reduction in annotation errors and rework. ◦ Processed an average of 300+ annotation and evaluation tasks daily while consistently meeting productivity targets and turnaround time requirements. ◦ Collaborated with QA specialists, project managers, and annotation teams to ensure workflow consistency, dataset reliability, and adherence to client-specific standards. ◦ Produced detailed evaluation reports and feedback documentation that supported model benchmarking, training optimization, and quality improvement initiatives.

Contributed to the end-to-end development of scalable web applications, handling both front-end and back-end tasks. Built interactive user interfaces using HTML, CSS, JavaScript, and React.js, ensuring responsive and accessible design. Worked with MongoDB and MySQL for database management, performing CRUD operations and optimizing queries for performance. Collaborated in Agile development cycles, participating in sprint planning, stand-ups, and code reviews. Utilized Git for version control and GitHub for collaboration and codebase management. Contributed to deployment processes using AWS, ensuring smooth rollout of updates and patches. Troubleshot and debugged issues across the stack to maintain application stability and performance. Documented technical processes and created user guides to ensure maintainability and knowledge transfer.

Mentored participants in the development of a full-stack job application portal, assisting with troubleshooting and resolving issues related to Redux, Node.js, MongoDB, React.js, Express.js, and Tailwind CSS. Provided guidance on implementing features like job search, resume uploads, profile management, and application tracking. Supported participants in building and refining an admin panel for managing users, job listings, and application statuses. Ensured code quality and helped participants meet project milestones throughout the development process.

Engaged in various projects that leverage our unique social media and web3 platforms. Engaged in various workshops conducted by industry veterans and professionals