SJ Jiang
@sjjiang
Machine Learning Engineer specializing in AI and automation solutions.
What I'm looking for
I am a dedicated Machine Learning Engineer with a strong academic background from Stanford University, where I earned my Master of Science in Computer Science with a GPA of 3.98. My expertise lies in Artificial Intelligence, Machine Learning, and Deep Learning, which I have applied in various impactful projects throughout my career.
At Greenlight, I led the development of an AI/ML application that significantly improved customer service efficiency, saving the company $300K annually. My experience spans multiple roles, including software engineering positions at Datalogz and Google, where I designed and implemented innovative solutions that streamlined operations and enhanced data processing capabilities. I am passionate about leveraging technology to solve complex problems and drive business success.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
Greenlight
Jan 2024 - Present (1 year 5 months)
Led, implemented, and deployed the first AI/ML application at Greenlight, a Customer Service Chatbot built with retrieval augmented generation using pre-trained LLM, serving 150+ agents with significant annual BPO savings. Played a key role in developing a full-stack agentic smart assistant capable of automating user actions by GenAI function calling through authenticated APIs. Implemented an auto
Software Engineer
Greenlight
Aug 2023 - Jan 2024 (5 months)
Designed and led the Partner Employee Verification project, significantly streamlining Greenlight’s B2B operations. This project included setting up a full-stack serverless ETL pipeline, the first serverless framework offering end-to-end connection from SFTP to the company database. Also implemented a user notification cron job for users failing to meet partner employee promotion criteria.
Software Engineer Intern
Jun 2022 - Sep 2022 (3 months)
Directed and implemented a full-fledged Google Chat notification framework, allowing engineers to receive prompt notifications from any Google services through Google Cloud Platform. Defined and set up Cloud Monitoring metrics & alerts using SQL and Terraform for Kubernetes, Buganizer, and other services. Implemented Cloud Functions to set up Pub/Sub channels and connect services via Google Chat A
Machine Learning Engineer
CCC Intelligent Solutions
Jun 2021 - Dec 2021 (6 months)
Proposed and implemented an efficient machine learning pipeline for predicting vehicle damage types based on image and text data, achieving company-wide highest recalls. The pipeline included data cleaning with doc2vec, data imputation using majority vote and MICE algorithm, probability boosting with Kalman filter, model ablation study, and model ensemble. Trained and fine-tuned approximately 40 t
Software Engineer Intern
CertiK
Jun 2021 - Aug 2021 (2 months)
Assisted with the blueprint of the company-wide data warehouse on Snowflake, including designing relational database schemas for blockchain transactions and smart contracts. Set up Snowpipe for automatically and periodically transferring existing data from Amazon S3 to Snowflake.
Education
Degrees, certifications, and relevant coursework
Stanford University
Master of Science, Computer Science
Grade: 3.98/4.00
Specialized in Artificial Intelligence, Machine Learning, and Deep Learning. Achieved a GPA of 3.98/4.00.
University of Illinois at Urbana-Champaign
Bachelor of Science, Computer Science
Grade: 3.87/4.00, James Scholars Honor
Graduated with James Scholars Honor. Achieved a GPA of 3.87/4.00.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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