PeopleofSuperintelligence

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Sri Vardhamanan

Also known as lawliet19189

Sri Vardhamanan is an AI engineer whose work spans natural-language processing, language-model tools and applied machine learning. He worked as a machine-learning engineer at Atlassian from April 2020 to September 2021 and as an NLP engineer at Dashworks from December 2021 to May 2025; by January 2024, he was also a research collaborator at Stanford. His DSPy work included a 13-author paper posted in October 2023, its ICLR 2024 appearance, and leadership of the language-model backend with Hanna Moazam in December 2024. He co-invented two Atlassian patents on document action-item extraction and predictive monitoring of software application frameworks. Since May 2025, he has been an AI Engineer at HubSpot.

Now at
Dashworks, Stanford University and HubSpot
Works
1
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GitHub

Publication numbers from OpenAlex, as of 22 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Timeline

  1. 2019

    Machine-learning engineer at EtherLabs

    In 2019, he works as a machine-learning engineer at EtherLabs in Bengaluru.

  2. April 2020–September 2021

    Machine-learning engineer at Atlassian

    From April 2020 to September 2021, he works as a machine-learning engineer at Atlassian.

  3. December 2021–May 2025

    NLP engineer at Dashworks

    From December 2021 to May 2025, he works at Dashworks; by January 2024, he is an NLP engineer there.

  4. October 2023–December 2024

    DSPy paper and backend work

    In October 2023, he coauthors the 13-author paper “DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines,” which describes language-model pipelines as text transformation graphs. The paper appears at ICLR 2024, and UC Berkeley's Sky Computing Lab lists him among DSPy contributors. In December 2024, he is on DSPy's core library team with Dashworks and leads language-model backend work with Hanna Moazam on caching, saving and loading language models, streaming, and async requests.

  5. 2024

    Stanford research collaboration

    By January 2024, he is a research collaborator at Stanford. From July to December 2024, he works there as a course facilitator and research collaborator.

  6. June 2024

    Document action-item patent

    The Atlassian application is filed in 2021 and its patent is granted in June 2024. He co-invents a machine-learning system that identifies action items in structured documents.

  7. October 2024

    Predictive monitoring patent

    The Atlassian application is filed in 2021 and its patent is granted in October 2024. He co-invents machine-learning techniques for predictive monitoring of software application frameworks.

  8. Since May 2025

    AI engineer at HubSpot

    In May 2025, he becomes an AI Engineer at HubSpot and holds the role as of October 2026.

Career

  1. Since 2025HubSpotAI Engineer
  2. NowDashworksNLP engineer
  3. NowStanford UniversityResearch collaborator
  4. 2020–2021AtlassianMachine-learning Engineer
  5. 2019EtherLabsMachine-learning Engineer

From the biography.

  1. 20% of people at companies who shape AI also hold a university role, led by Google and Stanford UniversityIncludes Stanford University. We estimate that 539 of the 6,766 people with a known current organization (8%) hold both a university role and a company role, including 20% of people at companies and 13% of people at universities.
  2. Google had the most people shaping AI every year from 2014 to 2025Includes Stanford University. Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Stanford University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Stanford University. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Sri Vardhamanan yet. Send us a free-licensed photo.

  1. Department of Computer Science and Engineering | SVCE in Chennai svce.ac.in. Checked 21 October 2026.
  2. Dashworks | About the Company dashworks.ai. Checked 21 October 2026.
  3. Sri Vardhamanan A - AI Engineer at Hubspot | The Org theorg.com. Checked 21 October 2026.
  4. lawliet19189 (Sri Vardhamanan) · GitHub (web archive, January 2024) web.archive.org. Checked 21 October 2026.
  5. [2310.03714] DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines arxiv.org. Checked 21 October 2026.
  6. DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines proceedings.iclr.cc. Checked 21 October 2026.
  7. DSPy – UC Berkeley Sky Computing Lab sky.cs.berkeley.edu. Checked 21 October 2026.
  8. Roadmap Sketch: DSPy 2.5+ (web archive, December 2024) web.archive.org. Checked 21 October 2026.
  9. US12008322B2 - Machine learning techniques for semantic processing of structured natural language documents to detect action items patents.google.com. Checked 21 October 2026.
  10. US12105610B2 - Predictive monitoring of software application frameworks using machine-learning-based techniques patents.google.com. Checked 21 October 2026.