Developed an AI-powered interviewer using LLMs and Generative AI, enabling dynamic question generation and real-time candidate evaluation.

Engineer an intelligent follow-up system that refines interview depth by analyzing responses and generating context-aware questions.

Design an LLM-driven assessment framework to evaluate and score answers, ensuring fairness, consistency, and accuracy in AI-powered interviews.

Utilize Prisma for efficient data storage and retrieval, optimizing database interactions for scalability.

Collaborate with cross-functional teams to enhance interview simulations, integrating AI-driven product case studies and role-specific assessments.

• Developed Python wrapper for simulating use-cases using multi-threaded application, reducing manual effort by 80%.

• Redesigned and optimized the current analyses process flow, leveraging interactive graphs and dynamic images on HTML report to enhance data visualization and improve user experience by 50%.

• Transformed HTML graphs and tables with JavaScript for improved functionality, decreased the loading time by 90%.

• Facilitated knowledge transfer sessions for newly onboarded team members.

• Collaborated for the development of new features within the framework, working closely with stakeholders to ensure alignment with project goals.

• Strong understanding of data structures and algorithms, with a proven ability to optimize for performance improvements.

• Served as the main contact responsible for handling and resolving any issues that emerged after the implementation phase.

• Leveraged Jenkins tool to automate and streamline the unit testing process, ensuring that all code changes were thoroughly tested, reducing 60% post implementation issues.

• Generated test scenarios for a variety of use-cases, in accordance with customer requirements. Utilized CarMaker tool to develop and automate test scenarios.

• Utilized Python to clone multiple Git directories for local file retrieval.

• Experienced in Agile and Scrum methodologies to achieve project milestones within demanding timelines.

• Attained extensive knowledge of Advanced Driver Assistance Systems (ADAS) functions and components.

• Comprehensive grasp of Object-Oriented Programming (OOP) principles.

• Proficient in utilizing Integrity Management System (IMS), GitHub, and JIRA for project management and software development purposes.