• Established operational standards for a semi-automated LLMOps workflow.• Engineered a Proposal Generation solution utilizing GenAI to summarize deviations from customer proposals.• Investigated and implemented GraphRAG to effectively combine structured and unstructured data for RAG.

Part of an early career leadership program that spans across 2 years - 4 rotations of 6 months each. Rotation 4 - NLP Data Scientist Feb ’24 - July '24- Protype for GenAI proposal generator for Services ITO Application Engineers. - POC on GenAI with Knowledge graphs to derive insights across multiple knowledge domain contexts.• Define standard work expectations & requirements for semi-automated LLMOps.Rotation 3 - SMO PMO Leader Separation Management Office PMO Leader for Gas Power IT. Aug ’23 – Jan ‘24• Drove program management & risk review of 12 domains within Gas Power IT. • Coordinated and centralized the budget needs across 12 domains. • Established governance of middleware integrations through strategic EA platform. • Developed the dashboard for centralized, efficient & clear visibility of progress & risks across all domains. Rotation 2 – Technical Product Manager, Pivot to Value Enable Pivot to value organization to focus on identifying and executing product cost out opportunities of our products.Feb ’23 – July ‘23• Automated Should Cost process using python scripts & increased cost out opportunities by ~10M & improved productivity of engineers by 60%.• Identified parts with similar specifications & raw materials for bulk sourcing.• Standard work to drive accountability & adoption of solution.• Built scalable clustering model for identifying parts with similar functionalities. Rotation 1 – Data & Analytics EngineerData and Analytics Engineer for a product focussed on determining the potential market size for Asia & EMEA regions. Aug ’22 – Jan ‘23• Requirements analysis to determine potential market size of Asia & EMEA Transaction Biz.• Designed wireframes to highlight the actual vs potential market size. • Designed logic to introduce new product line in the application. • Standardized the onboarding process of new users.

• Enhanced data control logic for daily data loads which helped to isolate multiple source data issues• Integrated 20+ source systems and built the data pipeline for an internal application• Built a generic framework for backup utility to restore data in case of load failures• Developed a common framework for daily data loads which reduced the manual efforts by 80%• Built the data pipeline to ingest data from Data Lake to Celonis instance using Python script• Contributed to the Lean transformation in the Parts analytics domain by building various reports that helped businesses track key KPIs and take the necessary actions required to mitigate risks

Developed a POC to automate the process of identifying and tracking any changes in ERP invoices with the help of AWS Textract and Python, which helped reduce manual efforts drastically.