RAUNAK SHARMA

Project AI4SE (Best Project Award Winner)

• Led the end-to-end pipeline for Project AI4SE_SRID, focusing on automated defect assignment using AI algorithms to streamline defect management.
• Achieved HQ recognition for the project’s impact and commercialization, showcasing expertise in AI-driven automation.

LLM and Generative AI Projects

• Developed a Natural Language to SQL Query Generator, automating data retrieval and simplifying database interactions for non-technical users.
• Created Crawl4AI, integrating real-time web data with LLMs to provide up-to-date responses when LLMs lack recent knowledge.

Other POCs and Initiatives

• Developed Log2Graph to automate processes, reducing human effort and attracting interest from HQ.
• Contributed to an LLM-based environment for SE-specific use cases, supporting organizational AI innovation.
• Participated in Ideathon and Hackathon, with ideas advancing to multiple evaluation stages.

Leadership and Strategic Roles

• Served as Scrum Master, leading 30 successful sprints with no major backlogs and ensuring strong team communication.
• Appointed Sub PL at the youngest age, leading the AI team with impactful results.
• Acted as SPOC for Innovation TF and SWC, driving idea generation and team training.

• Entrusted with responsibilities equivalent to a regular employee, demonstrating a high level of accountability and independence.
• Contributed to a project focused on competitive analysis using AI algorithms, enabling the identification of top competitors for specific products. The solution provided actionable insights for strategic decision-making.
• Developed and implemented an AI-driven recommendation system to suggest movies based on users’ watch history, utilizing advanced machine learning algorithms.
• Built and managed an end-to-end pipeline, encompassing data preprocessing, model training, evaluation, and deployment.
• Collaborated with cross-functional teams to ensure alignment with project goals and deliverables.