Available to hire
I’m Sasidhar Yepuri, a software engineer focused on end-to-end, production-grade systems across backend services, data pipelines, and user-facing applications. I bring a strong foundation in Python, APIs, distributed workflows, and system reliability, with hands-on experience delivering AI-assisted products in regulated and privacy-sensitive domains.
I enjoy turning ideas into solid implementations designing for correctness, usability, and maintainability while collaborating with product and non-technical stakeholders to validate system behavior and meet real-world constraints.
Experience Level
Expert
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Expert
Expert
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Intermediate
Intermediate
Intermediate
Intermediate
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Intermediate
Intermediate
Intermediate
Work Experience
Software Engineer – Analytics & Data Platforms at Databricks Inc.
March 1, 2025 - PresentDesigned and implemented cloud-native data and inference pipelines supporting analytics and model evaluation workflows in production environments. Contributed to an internal Claims Processing Agent, a multi-stage system for document understanding and structured extraction using LLMs. Built retrieval-augmented generation (RAG) pipelines and stateful validation logic that combined rule-based and model-based verification to improve extraction consistency. Investigated pipeline performance issues, distinguishing upstream data quality problems from model-related variance. Participated in design discussions and code reviews, asking clarifying questions around data assumptions, failure modes, and evaluation strategies. Balanced delivery timelines with system reliability, gaining hands-on experience with production constraints and operational trade-offs. Worked closely with product and non-technical stakeholders to refine requirements and validate system behavior.
Software Engineer Intern – Data at BNP Paribas CIB
February 1, 2023 - July 1, 2023Optimized T-SQL queries and reporting workflows under guidance of senior engineers, reducing execution times by approximately 30% on large financial datasets. Built and automated Power BI dashboards to track financial KPIs used by business and operations teams. Developed ETL workflows to integrate multiple enterprise data sources, improving data accuracy and consistency across reports. Implemented basic data validation and anomaly checks to identify inconsistencies in regulatory and compliance reporting. Collaborated with engineers and analysts to debug data issues and document reporting workflows and data flows.
Education
Master of Science in Data Science at SUNY Buffalo
August 1, 2023 - December 1, 2024Bachelor of Technology in Computer Science at Amrita Vishwa Vidyapeetham
July 1, 2019 - May 1, 2023Qualifications
Microsoft Azure AI Engineer Associate
January 11, 2030 - February 1, 2026AWS Certified Solutions Architect
January 11, 2030 - February 1, 2026Microsoft Fabric Data Flows and Data Storage
January 11, 2030 - February 1, 2026Salesforce AI Associate Certification
January 11, 2030 - February 1, 2026Industry Experience
Software & Internet, Financial Services
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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