Samhita Kolluri

I have experimented a lot with the aim of finding my niche, and have thus gained varied skills along the way. Some of my major skills are highlighted below.

• Developing multi-agent AI systems under the guidance of Prof. Nik brown for autonomous decision-making.
• Building memory layers, observability tools, and API integrations to enhance agent intelligence.
• Deploying and fine-tuning LLM-powered agents using LangChain, OpenAI APIs, and vector databases.

• Coordinate course materials and schedules for IE 5374 Storytelling with Data, Applied Gen AI under the guidance of Prof. Mohammad Dehghani , ensuring efficient class operations and timely resource dissemination.
• Design and conduct interactive lab sessions to enhance student proficiency in data analysis, dynamic visualizations.
• Facilitate student learning by assisting with tools such as Power BI, and Excel for data wrangling and interactive dashboards.

• Achieved a 99% acceleration in ETL reconciliation and optimized data processing efficiency.
• Implemented audit mails in QA and Production environments, leading to a 25% increase in system efficacy.
• Delivered data warehousing solutions with Informatica ETL processes, supporting data integration and improving reporting accuracy by 20%.
• Designed Informatica code, developed SQL queries, and modified mappings and workflows using Informatica PowerCenter, improving system performance by 25%.
• Streamlined code migration between QA and Production environments by implementing a backup system, reducing deployment time by 40%.
• Led debugging and issue management using Agile methodology and JIRA, ensuring timely resolution and high-quality delivery.

• Optimized ETL processes with Informatica PowerCenter mappings, achieving a 27% boost in data transformation efficiency and a 25% enhancement in documentation accuracy.
• Reduced errors by 20% and improved testing efficiency by 15% through optimized workflows and rigorous unit testing.
• Transformed multiple SQL files into PySpark for sample data modeling and debugged code on the Databricks community.

• December 2022 - An Artificial Intelligence and Internet of Things based Integrated Approach for COVID-19 Prevention, Application Num: 202141054101.
• September 2022 - AI-based Screening System for COVID-19, IEEE 7th International conference for Convergence in Technology (I2CT) Paper Link
• September 2021 - Brain-Computer Interface paper presented at Annual Technical Symposium, India

• Managed a cross-functional team throughout the Automated Sign Language Recognition project's lifecycle, fostering effective collaboration and developing a neural networks model resulting in 98.56% validation accuracy. GitHub Link
• Built a CNN-based facial expression recognition system using the Kirsch compass mask operator for preprocessing.

College of Engineering
Related Coursework: Gen AI w/ LLM in Data Engineering, Natural Language Processing, Special Topic: Large-Language-Model based Dialogue Agents, Data Mining in Engineering, Data Management for Analytics, Computation and Visualization for Analytics, Foundations for Data Analytics Engineering

Related Coursework: Business Economics & financial Analysis, Entrepreneurship, Artificial Intelligence & Neural Network, Computer Graphics and Animation, Introduction to Internet of Things, Cognitive Science, Information Security Assessment and Audits, Cyber Security.