Accomplished Program Manager with over 10 years of experience leading cross-functional teams to achieve organizational goals. Skilled in project management, strategic thinking, and problem-solving. Supports development of Gen AI based machine learning (ML) and large language models (LLMs) and automate decision-making, resulting in substantial cost savings. Expertise streamlines investigation processes and improves efficiency. Proven track record of creating new programs to assess and manage operations, demonstrating strong analytical abilities. Committed to pursuing a challenging, growth-oriented career in a well-established organization, bringing extensive leadership and program management skills to drive performance and exceed expectations.
Inconsistent Identity: Supported multi-modal, multi-lingual ML development while making corrections on the catalog. Overachieved the corrections annual target by 26% while servicing 43 partner teams across Amazon with a SLA of
Starfish LLM Model Development: As part of the Starfish LLM project, I spearheaded the setup and scoping of the first team dedicated to supporting Large Language Model (LLM) development within the organization. I identified, trained, and led a team of catalog specialists, subject matter experts, and managers to build their understanding of LLMs and the development process. This effort delivered an additional 12% of training labels to improve model fine-tuning and achieve coverage across 138 product types. In 2024, Expanded the same to 44 HC across 9 languages with 1 PM, 2 OMs and 2 SMEs across 4 sites while extending scope to Media Product Types (Books, Movies, Music, Software) which required different SOPs.
Starfish Vanguard: Led a hastily assembled manual curation team to provide short-term support for Starfish LLM. The goal is to help Starfish achieve its 2024 catalog quality improvement targets. Within just 3 weeks, I executed a program framework centered on "Minimal Effort, Maximum Throughput" strategies. The team are on track to deliver the annual target by curating over 100,000 high-traffic products in the Amazon catalog.
Artemis LLM Co-Pilot: To secure approval for product development, I supported the creation of a successful proof-of-concept. This LLM-based co-pilot aims to enhance task efficiency across the organization. By developing a strategic Coverage vs Complexity grid, I identified that 47% of tasks, spanning 55% of headcount, fell within the product's scope. Throughout the development process, I facilitated multiple collaborative working sessions with all stakeholders.
2. Promotion Streamlining: Through comprehensive analysis of the existing promotion process, innovative solutions like identifying tools, and effective implementation efforts, I helped in streamlining and improving the promotion process in the org for Levels 2 and 3, enhancing transparency, reducing manager dependence, and facilitating career development opportunities for associates. I worked closely with the Tech team to configure workflows, set up UATs, resolve issues, and automate the onboarding process. Performed failure mode analysis to ensure all risks are assessed before deploying the product across 2 sites in Europe with 23.5% coverage across the org.