#1 hireworking on LLM optimization and some other full stack tasks

● Designed and built the data engine in 2 months, won $300K Funding from MiraclePlus.● Developed MultiAgent Framework with OpenAI, Llama2 and implemented Django framework, with a focus on scalability.● Crafted frontend using Svelte with TypeScript, full stack development.● Integrated Firestore, Kafka, and Langchain for real-time data manipulation.● Utilized AWS E2 Compute Engine for high-performance simulation, Cloud Storage for storing datasets and AI model outputs, and hacked… Show more ● Designed and built the data engine in 2 months, won $300K Funding from MiraclePlus.● Developed MultiAgent Framework with OpenAI, Llama2 and implemented Django framework, with a focus on scalability.● Crafted frontend using Svelte with TypeScript, full stack development.● Integrated Firestore, Kafka, and Langchain for real-time data manipulation.● Utilized AWS E2 Compute Engine for high-performance simulation, Cloud Storage for storing datasets and AI model outputs, and hacked Kubernetes to create customized JupyterLab for scaling services.● Leveraged extensive use of GitHub actions for CI/CD pipeline Show less

● Open-source project CktGym under the world’s best circuit lab with Professor Vladimir Stojanovic, funded by NSF and Intel, incorporated by ZeroASIC which got 2.1 million funding.● Designed, and developed a hardware RL based simulation system end-to-end, on GCP using Firebase for authentication and Intel16 and AlignHdl21 for circuit data generation, following MVC principles, on Linux VM.● Designed data processing and monitoring pipeline with Spark and Pydantic.● Designed, and… Show more ● Open-source project CktGym under the world’s best circuit lab with Professor Vladimir Stojanovic, funded by NSF and Intel, incorporated by ZeroASIC which got 2.1 million funding.● Designed, and developed a hardware RL based simulation system end-to-end, on GCP using Firebase for authentication and Intel16 and AlignHdl21 for circuit data generation, following MVC principles, on Linux VM.● Designed data processing and monitoring pipeline with Spark and Pydantic.● Designed, and developed entire infrastructure using OpenAI Gym and Ray for unsupervised learning.● Enhanced service performance and scalability through REST API with Flask and RPC, CI/CD pipeline with Github Actions. Show less

uGSI for Stat20: Intro to Statistics

● GAN related stuff with PCA tries, too bad it already exists

● Part time under Data Science Discovery Program