Dallas, Texas
Rajarshi Chattopadhyay
Staff Software Engineer | AI systems and data
I design and build scalable, production-grade intelligent systems that power analytics platforms and business-critical applications. My work focuses on architecting distributed systems, data pipelines, and AI-driven solutions that improve reliability, performance, and decision-making at scale.
AI agent for energy data answers questions about U.S. electricity generation published by the Energy Information Administration.
- Question
- How much wind generation did Texas produce in 2023?
- Check
- The question is one aggregate: 2023, Texas, wind. The query is a single SELECT with those values as parameters. The sentence is not copied into SQL.
- Answer
- 119,855,132 megawatthours, the EIA wind row for Texas in 2023.
- Refusal
- “What was customer revenue in Texas in 2023?” is refused. The table has no revenue column, so no query runs.
Public work
- AI agent for energy data — the example above, written up as a case study.
- Neural machine translation — a sequence-to-sequence model that translates a sentence from one language into another.
- COVID-19 sentiment — classifies the sentiment of COVID-19 tweets. Write-up.
- A 16-bit RISC processor on an FPGA — first runner-up, IETE Technical Paper Contest, 2014.
Background
- Staff Software Engineer at Tesla since 2026. Software engineer at Tesla since 2020.
- M.S. Computer Science, Intelligent Systems, The University of Texas at Dallas, 2020.
- IBM, 2014–2018. Enterprise systems for a global shipping operation, and lead of a support team. IBM Best Emerging Techie, 2016.
- B.Tech. Electronics and Communication Engineering, West Bengal University of Technology, 2014.