Vikram Rangnekar
AI Engineering at Big Basin Labs
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolVikram Rangnekar is an AI engineer and serial founder with 12 years of experience building developer-first systems and scalable backends from Mountain View. Currently at Big Basin Labs, he focuses on LLM-powered products and runs llmclient.com to log and streamline LLM interactions, bridging research and practical tooling. His open-source work includes core backend contributions to ax-llm/ax—an unofficial DSPy framework for agentic workflows—and contributions to GraphJin, reflecting deep experience with embeddings, API integrations, and real-time data systems. Earlier roles include founding 42Papers and Movnorth and senior engineering at LinkedIn, where he helped design high-throughput ad indexing and real-time analytics; he also has a long history of shipping developer-facing platforms and open-source communications software. Known for turning cutting-edge research into usable stacks, he combines systems-level backend skills with a researcher’s appreciation for compilers and LLM research.
12 years of coding experience
20 years of employment as a software developer
BS Computer Science, BS Computer Science at University of DelawareThe Doon School
Github Skills (20)
apim10
transaction10
transactional10
javascript10
back-end-development10
apidoc10
typescript10
large-language-models10
wpgraphql10
llm10
go10
api10
openai10
ai10
wordpress-graphql10
Programming languages (9)
Github contributions (5)
ax-llm/ax
Feb 2023 - Mar 2023
The "official" unofficial DSPy framework. Build LLM powered agents and other workflows, based on the Stanford DSP paper.
Role in this project:
Backend Developer
Backend DeveloperContributions:120 releases, 1 review, 27 commits in 14 days
Contributions summary:Vikram's initial commit introduces core functionality, likely setting up the foundation for the project. They then create files defining AI service integrations for OpenAI and Cohere, showcasing an understanding of incorporating external APIs. Subsequent commits demonstrate work on embedding capabilities, indicating an interest in enabling vector search functionality within the LLM framework. The commits also include updates to the text generation and embedding functionality.
aianthropicclaudecoheregemini
dosco/graphjin
Mar 2019 - Jan 2023
GraphJin - Build NodeJS / GO APIs in 5 minutes not weeks
Role in this project:Back-end Developer
Back-end DeveloperContributions:212 releases, 783 commits, 178 PRs in 3 years 10 months
Contributions summary:Vikram's contributions primarily revolve around the core functionality of a Go/NodeJS API, focused on constructing and managing queries. This is demonstrated by their work in allowing only named queries to be saved to the allow list and implementing various features for data validation. The user also worked on setting up database transactions and various refactoring and code cleanup, indicating experience in backend development and database interaction.
graphql-serverdockernodejsdatabaseminutes
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