Shreyas Puttaraju
AI Applications Engineer @ Jewelers Mutual | Gen AI, Prompt Engineering, and Advanced Analytics
- Role
- Ai Applications Engineer at Jewelers Mutual Group
- Location
- Chicago, IL, US
- LinkedIn followers
- 500 followers
About Shreyas Puttaraju
Hello! I’m Shreyas Puttaraju, an AI Engineer and Data Scientist based in Chicago, IL. With a Master’s degree in Data Science from DePaul University and a Bachelor’s in Computer Science and Engineering from P.E.S College of Engineering, I have a solid educational foundation that complements my extensive professional experience.In my current role, I specialize in developing advanced generative AI applications. My expertise includes designing multi-agent systems with Langchain and AWS, creating custom tools in Python, and architecting ETL pipelines to ensure efficient data integration and scalability. I am passionate about leveraging AI to solve complex problems, as demonstrated by my work in building AI-driven Document Management and Candidate Scoring Systems.Previously, at H-E-B Groceries, I engineered systems to extract product entities and attributes from large datasets, significantly improving data management efficiency. My experience also includes a data analyst role at Intex Technologies, where I conducted extensive ETL processes and predictive modeling to enhance business decision-making.I am proficient in a range of tools and technologies, including Python, SQL, Tableau, and Power BI, and have a deep understanding of cloud platforms like AWS and Azure. My skills in prompt engineering and LLMs have enabled me to enhance AI task performance and accuracy significantly.Beyond my technical skills, I am a strong advocate for cross-functional collaboration and effective communication, ensuring that technical innovations align with business goals. I enjoy working in dynamic environments where I can continually learn and apply new technologies to drive impactful results.Feel free to connect with me to discuss AI, data science, or any innovative projects you have in mind!
Experience
Ai Applications Engineer
Jul 2024 — Present · Neenah, WI, US
Spearheaded the rapid development of four generative AI proof-of-concept (PoC) applications, leveraging LLMs from Azure OpenAI to enhance automation and decision-making workflows. Engineered both internal and external-facing generative AI tools to optimize business operations, increasing productivity and significantly reducing manual effort across multiple teams. Developed robust evaluation frameworks to assess the effectiveness and reliability of generative AI applications, implementing benchmarking strategies to ensure consistent performance. Applied advanced prompt engineering techniques to fine-tune LLM outputs, optimizing accuracy, coherence, and consistency in financial document processing tasks such as extraction, summarization, and analysis. Integrated AI-driven document processing solutions using LangChain, Python, and cloud-native architectures, streamlining the extraction and analysis of financial data at scale.
Education
DePaul University
Masters
2021 — 2023
PES College of Engineering
Bachelor of Engineering - BE
2015 — 2020
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