Oct 2022 – Oct 2024 · 2 yrs

• Building the Employee Performance Management tool for Atlassian
• Worked on developing a cohesive customer feedback ecosystem pipeline which involves deriving important insights such as sentiment, themes, and sub-themes from customer feedback. These insights are used by the Atlassian product teams to take informed decisions.
• For 2 months, single-handedly managed all aspects of project development, including stakeholder engagement, feature development, bug fixing, deployments, production monitoring and proactive worked on production issues.

Jul 2021 – Sep 2022 · 1 yr 2 mos

• Worked in the development and implementation of an AI-driven customer support bot, streamlining customer interactions and enhancing issue resolution efficiency.
• The innovative solution autonomously addressed customer inquiries, executed actions in internal systems, and provided prompt and accurate responses, significantly improving overall customer satisfaction.
• Our cutting-edge process automation processes 25k+ support tickets per month of various business scenarios, and turnaround time is drastically reduced to ~2 minutes, further elevating the customer support experience.

Jan 2021 – Jun 2021 · 5 mos

• Spearheaded the development of a Natural Language Processing (NLP) service designed to extract topics from unstructured text using advanced topic modeling algorithms.
• This project encompassed a thorough investigation of various algorithms, proof-of-concept development, performance metrics analysis and optimization, and ultimately delivering a self-service solution through accessible APIs and a user-friendly interface.
• Identified vital signs from Atlassian’s 170k+ community posts and shared the insights with the research team.
• This work demonstrates proficiency in NLP, algorithmic research, and commitment to creating practical, high-quality solutions in the field of text analysis.

Jun 2018 – Dec 2019 · 1 yr 6 mos · Coimbatore, Tamil Nadu, India

• Conducted an in-depth study on 'Early Fire Detection' utilizing video processing techniques. My research encompassed the analysis and selection of various statistical models, evaluation of machine learning models using various performance metrics, and pubshiled a research paper documenting all the results. This comprehensive research showcases my strong analytical skills, commitment to advancing the field of machine learning and gained experience in writing research papers.