Jang Si

Jang Si

Mentor
Rising Codementor
US$8.00
For every 15 mins
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First 15 mins free for your first session
ABOUT ME
Fueling success with trust and software engineering expertise
Fueling success with trust and software engineering expertise

Fueling success with trust and over a decade of tech expertise: With over 10 years of experience in software engineering and a rich background in mentoring and guiding teams, I am well-equipped to support companies in achieving their goals. My technical skills include:

  • JavaScript
  • TypeScript
  • React
  • HTML
  • CSS
  • Python
  • Node.js
  • Go
  • SQL
  • Solr

Coupled with a passion for fostering a positive and productive working environment, drive me to share my knowledge and experiences to propel your projects to success. I understand the value of reliability and stability, and I am committed to bringing these qualities to your team.

Eastern Time (US & Canada) (-04:00)
Joined October 2023
EXPERTISE
6 years experience
5 years experience
5 years experience
3 years experience
3 years experience
5 years experience
4 years experience

REVIEWS FROM CLIENTS

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EMPLOYMENTS
Software Engineer
Fullstory
2019-12-01-Present
  • Full-stack, data, search, and AI engineer building analytics products for customers’ digital properties, including the use of sta...
  • Full-stack, data, search, and AI engineer building analytics products for customers’ digital properties, including the use of statistical methods and data visualizations to help users understand and utilize their data more effectively
  • Invent custom visualizations and graphing libraries, including sankey diagrams and heatmaps using typescript, html, and css to convey complex data in easy to use ways
  • Maintain and extend statistical algorithms, including chi squared and binomial tests allowing customers to analyze the impact of certain events in funnel conversion
  • Build data streaming pipeline that ingests petabytes of data monthly in real time, extracting signal from behavioral data and indexing it for real time search
  • Build and evaluate LLM Agent pipelines in Go and Temporal, implementing tool calling, memory buffers, retrieval-augmented generation, and planning that parse, summarize, and understand the wealth of data we process
  • Maintain LLM ops processes, including LangChain to evaluate prompts and outputs as well as upgrading models
HTML/CSS
TypeScript
React
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HTML/CSS
TypeScript
React
Google Cloud Platform
JavaScript
Kubernetes
Golang
Solrcloud
AI
LLM
Llm agents
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Software Engineering Mentor
Thinkful & Springboard
2018-01-01-2025-08-01
  • Mentored multiple students on a weekly basis in the Software Engineering track
  • Covered a curriculum of topics including b...
  • Mentored multiple students on a weekly basis in the Software Engineering track
  • Covered a curriculum of topics including beginner and intermediate React, Express, MongoDB, Python, Postgres, and Nodejs
  • Successfully guided a student with no technical background from the start of the curriculum to obtaining a full-time job as a Full Stack Developer
Node.js
MongoDB
React
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Node.js
MongoDB
React
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Co-founder, CTO
TopPick
2015-08-01-2019-08-01
  • Built and scaled a high performance video interviewing platform used by candidates globally, utilizing React, WebRTC, and browser...
  • Built and scaled a high performance video interviewing platform used by candidates globally, utilizing React, WebRTC, and browser Media APIs
  • Implement automation pipelines on top of Google Workspace, including APIs for Gmail, Calendar, Meet to scale talent acquisition operations
  • Developed a video processing pipeline using Scala, Play, and Ffmpeg on AWS
  • Developed and maintained an iOS app for use by candidates in the video interviewing process using React Native
  • Developed and supported an operations framework that utilized services such as Pagerduty, Pingdom, Sendgrid, and Twilio using custom, comprehensive health checks embedded in microservices
  • Designed and developed Chrome extensions and Microsoft Office Add-ins for Outlook as a product offering to be used by enterprise customers
  • Configured and maintained network infrastructure, including VPCs, load balancers, reverse proxies, and firewalls in a multi cloud (AWS, GCP) environment
  • Improved and automated processes for Operations, Sales and Marketing, including text mining and structuring data in Python
Python
Scala
MongoDB
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Python
Scala
MongoDB
FFmpeg
Google BigQuery
WebRTC
React
React Native
Play Framework
Google Data Studio
AWS
Google workspace automation
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