Jul 2022 – Sep 2025 · 3 yrs 2 mos · Bengaluru, Karnataka, India

• Lead a small team which developed CONCORDIA, a data harmonization & master data management tool leveraging SOTA implementations such as product categorization, product similarity search, Entity extraction, & Standardization.
• It enabled robust product data management & KPI harmonization, leading to further downstream product insight & visualization activities.
• Researching & exploring real-world GenAI applications such as Auto Categorization, Similarity search improvements, & RAG-based model assistant to provide clients with cutting-edge capabilities & ensure smooth user experience.
• Led Concordia development activities for CPG clients such as Loreal, Newell, Coca-cola, SC Johnson, & many more.
• Enabled seamless collaboration as a project lead across Engineering, Data Science, Design, & Product by implementing Agile rituals & cross-functional teams, thus accelerating development velocity with minimal reworks.
• Built Quality Assurance processes from the ground up including peer code reviews, automated testing & validations, & issue identification mechanism thus decreasing the client issue service requests by 75%.
• Strategized with product owners & partners to define the product roadmap, objectives, release timelines, & disaster recovery methods thus ensuring a smooth project execution.
• Implemented team policies focusing on structured & feature-driven development, best practices, & upskilling, increasing productivity by 40% & finishing deliverables well within the 90% timeline per milestone.

Nov 2020 – Jul 2022 · 1 yr 8 mos · Bangalore Urban

• To Identify, Develop and Evaluate potential use cases of NLP in the organization to maximize productivity and efficiency.
• Built an end-to-end application that helps identify query redressal groups within the organization based on the description tickets raised by the employees on SERVICE NOW platform.
• The application has increased ticket routing mechanism efficiency by 60% & decreased the mean resolution time per ticket by 40%.

Jun 2019 – May 2020 · 11 mos · Bengaluru Area, India

• Identification of AI/ML industry oriented use cases in business areas like Supply Chain, Manufacturing, Production etc..
• Developed ML based solution for procurement of materials, which decreases the product failure by up to 30%
• Developed a NLP model that provides solutions for different failure modes in vehicles thus increases efficiency by up to 40%.
• Creating a generic AI architecture with process techniques, methods and guidelines which will be followed by the whole organization
• Won Innovation Award of the year (2019)

Jul 2018 – Feb 2019 · 7 mos · Bangalore Urban, Karnataka, India