Welcome!. I'm
Varich Boonsanong
Software Engineer, AI/ML, and Startups Founder
Full-Stack
C/C++, Javascript, Python, Java, Typescript, Go, Rust, C#, SQL, GraphQL, BigQuery, WASM, Reactjs, Nextjs, D3, PostgresQL, Redis, MongoDB
Data-Science
PyTorch, Tensorflow, Keras, LLMs, Scikit-learn, XGBoost, LightGBM, Spark, Pandas, Numpy, Databricks, Snowflake
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About me
University of Washington
• M.S. and B.S. in Computer Science with a concentration in Data Science
• GPA: 3.85/4, Dean's list: All quarters
• Expected Graduate on Dec 2024
Bangkok Christian College
Work Experience
Software Engineer Intern
at Snowflake Inc.
‣ Build end-to-end AutoML training/inferencing pipeline to find and fix memory bottlenecks.
‣ Curate, synthesize datasets, and fine-tune 8B and 70B LLM for open-domain text classification.
Jun 2024 - Sept 2024
Jun 2023 - Dec 2023
Software Engineer Intern
at Snowflake Inc.
‣ Part of Applied-ML team building AutoML system to help Snowflake's user build production-grade ML with single SQL statement.
‣ Reduce the memory usage and increase supported dataset size for training machine learning model by 3x and 15x, respectively.
‣ Research and generate synthetic datasets for internal search-engine training and benchmarking using LLMs.
‣ Add n-gram support for search-engine service and benchmarking, improving various search metrics by 5% on average.
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Work Experience
Undergraduate Researcher
at Paul G. Allen School of Computer Science & Engineering
‣ TsvetShop Lab: Research and train Video-LM based on video contextual gammar (DCVC) for efficient video understanding and generation task.
‣ Robot Learning Lab: Augmented current SOTA search-based algorithm with samples from the generative model (VAE and Diffusion) for controlling self-driving cars.
‣ TsvetShop: Developing techniques and web demo tools for measuring factuality in Large Language Model generations.
‣ Infoseeking Lab: Co-authored research papers on Counterfactual Explanations.
Mar 2023 - Current
Jun 2022 - Sep 2022
Software Engineer Intern
at Taxbit
‣ Automated developers' workflows for a high-growth unicorn backed by PayPal Ventures and Madrona Venture Group.
‣ Built internal end-to-end testing tools using Typescript in AWS to ensure the validity of ingested data and the generation of proprietary tax
forms, reducing manual developer intervention by 99%.
‣ Built an interface that aggregates metrics for core microservices and data processing pipelines.
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Work Experience
Co-Founder and Lead Full-Stack Engineer
at Sopet.co
‣ Co-founded a startup that provides veterinary telemedicine service with over 1000 active monthly users and got the latest funding for 2M USD.
‣ Trained proprietary VETAI-1 as a virtual veterinary LLM and managed teams to build UI and API around the model.
‣ Developed Machine Learning for Smart Symptoms service to give instant preliminary diagnoses using SQL, Pytorch, and internal decision tree software in collaboration with Chulalongkorn Vet Hospital.
‣ Built and managed high availability telemedicine backend service in Typescript using microservices, containers, and Kubernetes.
Aug 2021 - Current
Aug 2019 - June 2021
Software Engineer Intern & Part Time
at Siametrics Consulting
‣ Optimized SQL query and backend service to reduce average response time by 30% using BigQuery, FastApi, Python.
‣ Developed data pipeline to automate data digestion and feature engineering, which helped reduce training time and increase model ROC accuracy by 20% using Tensorflow.
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