JANI ASHA SHAIK

Architected and deployed enterprise-grade Generative AI solutions and AI/ML architectures
across platforms to drive business transformation. Designed Generation (RAG)
pipelines, enabling secure accurate LLM queries against proprietary enterprise data.
• Engineered autonomous GenAI Agents utilizing GCP Vertex AI and LangChain to automate
complex enterprise workflows, integrate these capabilities natively into Flutter-based apps.
• Fine-tuned, optimized, and deployed Large Language Models (LLMs) and custom ML models
on Vertex AI and Amazon Bedrock, ensuring low latency and high scalability.
• I used to Share my strategies and Data Governance compliance during Leadership meetings.

• Developed a SaaS-based Policy Administration and Claims Management solution (using java,
RESTful web services) to drive cost reductions in the commercial insurance sector.

• Built and evaluated AI/ML & DL predictive models (ARIMA, LR) and Reinforcement Learning
architectures for real-time media analytics and performance monitoring.
• Automated big data pipelines (PySpark) and ETL jobs using Oozie workflows, managing
parallel execution instances and optimizing Hadoop cluster performance.

• Contributed to the core design and implementation of Lambda Architectures for real-time
and batch data processing within the USAA Applied Research Innovation Lab.
• Performed advanced Data Mining, Statistical Modeling, and Predictive Analytics to solve
complex business problems across mobile, GIS, Mining and defense sectors.
• Managed Non-Disclosure Agreements (NDAs) with external vendors and Developed
bioinformatics, geospatial statistical report dashboards and innovation prototypes using
Python, R-Shiny, Seaborn and Matplotlib.

Enhanced National Classification module and improved patent generation tracking system.