Venu Dave

Software Developer Intern @ Amazon

About

I engineer scalable backend and AI systems that operate at production scale. At Amazon, I built a natural language–to–SQL platform across complex enterprise schemas, reducing data retrieval time from days to minutes by designing a schema-aware query engine with automated join inference and reliability safeguards. My work spans distributed systems, data-intensive backend architecture, and applied AI pipelines — built with Python, Java, SQL, and AWS. I’m focused on building high-performance systems that are reliable, measurable, and designed to scale. If you’re hiring for SDE, AI/ML, or data platform teams building production-scale systems, feel free to reach out. dave.ven@northeastern.edu | venudave.dev@gmail.com

Country

City

United States

Industry

Computer Software

Skill

Data Science, Cloud Computing, Agentic Workflows, Large Language Models (LLM), MCP servers, Prompt Engineering, SQL Optimization, Agents, Amazon Web Services (AWS), AWS Lambda, Amazon Bedrock, Amazon S3, Amazon Athena, Application Programming Interfaces (API), Java Swing, MVC Architecture, Natural Language Processing (NLP), Deep Learning, Software Design, Data Infrastructure

Experience

Software Developer Intern

Amazon

2025-5 - 2025-8 · 4 mos

New York, United States

I developed an innovative AI-powered natural language interface, streamlining complex database queries for engineers. • Engineered an agent-based LLM system with schema ingestion for over 60 tables, enhancing data retrieval. • Applied prompt engineering and modular architecture to ensure system scalability and reliability. • Worked cross-functionally to align technical designs with business objectives and security requirements.

Project-Based Intern

STACKCODIE

2023-2 - 2023-5 · 4 mos

Ahmedabad

I had the opportunity to work on diverse web development projects at STACKCODIE, where I significantly enhanced my technical skills. • Collaborated with a team to design and implement user-friendly web applications. • Developed a comprehensive understanding of both front-end and back-end development principles. • Gained valuable experience in a startup environment, fostering innovation and adaptability.

Data Science Intern

InfoLabz

2022-6 - 2022-7 · 2 mos

Ahmedabad

I contributed significantly to data-driven projects at InfoLabz, enhancing my skills in data analysis and visualization. • Engaged in data cleaning and interpretation using Python and SQL to support project objectives. • Collaborated with team members to provide insights that informed critical business decisions. • Developed a solid foundation in data science tools and methodologies within a startup environment.