Brian Young

Brian Young

Mentor
5.0
(54 reviews)
US$15.00
For every 15 mins
76
Sessions/Jobs
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First 15 mins free for your first session
ABOUT ME
Professional Leetcode and Mock Interview Prep | Amazon SDE II | 5+ yoe
Professional Leetcode and Mock Interview Prep | Amazon SDE II | 5+ yoe

General profile
Hello! ex-Amazon engineer here. I have 5+ yoe in fullstack development and 1.5 yoe in AI engineering (JS and Python) I have both worked at startups building products from the ground up and big tech building large-scale distributed systems. With my unique blend of fullstack and AI expertise, I'm confident I can bring your next product to success!

Tutor profile
As an ex-Amazon engineer, I came from a non-CS background and eventually broke into big tech. I have also conducted numerous interviews at Amazon, so I know the secret to cracking the coding interviews. With a solid coverage of DSA fundamentals and uniquely curated list of questions from past FAANG interviews, many of my students were able to land jobs at FAANG companies. So whether you are a student or a seasoned engineer, I'm happy to help you land your next dream school/job!

I'm currently an independent AI researcher offering tutoring with a part-time capacity at a discounted rate! Therefore, this opportunity may not be long!

Tech stacks
Proficient in Python, JavaScript, React, Vue.js, MySQL, PostgreSQL, MongoDB, PyTorch, Scikit-Learn, AutoML,OpenAI, LLM, Langchain, RAG. Look forward to collaborating with you!

English
Pacific Time (US & Canada) (-08:00)
Joined October 2019
EXPERTISE
3 years experience
5 years experience
4 years experience
3 years experience
5 years experience
2 years experience
3 years experience

REVIEWS FROM CLIENTS

5.0
(54 reviews)
Rowan O
Rowan O
November 2024
I recently passed my Google interview and I'm now in team matching! I'm still in shock, to be honest, since I heard back last week. This wouldn't have been possible without Brian - thank you!! I worked with Brian for nearly 1.5 months, and we dedicated several hours to interview prep 4-6 days a week, for anywhere between 3-6 hours a day. I know it may seem excessive, but it was absolutely necessary. In the past, I had done poorly in interviews and often wouldn't even make it past the initial online coding assessments. I failed many times and only made it to two final round interviews after completing dozens of initial coding assessments. Brian worked with me on a long-term basis, and after a few weeks, I could see my confidence improve. I became faster with coding, finished the Blind 75, and nearly finished Neetcode 150. Brian was tough on me, but it was necessary. He taught me the importance of constantly communicating with interviewers while working through solutions. He also gave me a solid framework to help break down challenging questions in a way that made them easier to solve. I heard back within 3 days of my interview that they were moving me to "Hire" for L3. This wouldn't have been possible without Brian. He's an amazing coach and tutor. Thanks!
Rowan O
Rowan O
November 2024
Amazing Tutor
Brian Donnoe
Brian Donnoe
October 2024
Very good, patient, friendly mentor. I think he made some progress with the issue, and I am going to take it from here and see how far I can go with it.
Vladyslav Boiko
Vladyslav Boiko
October 2024
Brian is a really good tutor, he prepared me for the FAANG interview quickly and I passed it well.
Jerrell Young
Jerrell Young
October 2024
Very knowledgeable, patient and respectful.
Ella Skolnick
Ella Skolnick
October 2024
Brian is really great at helping me understand how to approach interviews and interview questions. He is very encouraging and has given me great tips and understanding of technical interviews and Leet Code style questions. I feel more confident after each session with Brian.
Debra Sparr
Debra Sparr
October 2024
Brian understands the ins and outs of the tech interview. He has great experience in the interview cycle. He gave great feedback during the coding session. I get very nervous during tech interviews and he helped me feel at ease. I have confidence in him as a teacher. :)
Neeraja Kulkarni
Neeraja Kulkarni
September 2024
Brian was able to debug our code well. He was very helpful even before the session started and great to work with!
Nana
Nana
September 2024
Great Feedback
Quwan Lowery
Quwan Lowery
September 2024
For someone that don't have 10 years of experience he is really good in debugging
EMPLOYMENTS
AI Engineer
Backprop, LLC
2023-11-01-Present

AIsecretary

  • Lead development in AI call assistant for health clinics for patient inquiries and appointment...

AIsecretary

  • Lead development in AI call assistant for health clinics for patient inquiries and appointment booking using Twilio, OpenAI realtime API, RAG, and agentic workflows.
  • Configure AI to handle multi-step verification workflow, task delegation, session management in multi-agent environment.
  • Scale product to handle network congestion for end-to-end audio pipeline and improve quality through various audio encoding formats.

ADUGuru

  • Led development of a vision model to identify maximum land area for accessory dwelling unit (ADU) in residential properties from satellite aerial images across the US.
  • Sourced aerial imagery data from multiple vendors and perform quality/pricing tradeoff analysis on datasets.
  • Evaluated three image segmentation models on two datasets, and finetuned final model to achieve 90% mIOU and 85% accuracy improvement in predicting max land ADU area, matching human baseline performance.
  • Identified bottlenecks in training pipeline including third-party library performance issues and improved training speed by 2.5x on multi-GPU training cluster.
  • Supervise project on customer credit allocation system to achieve cost optimization and tenant isolation on AI services.
Python
Pandas
Machine learning
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Python
Pandas
Machine learning
Deep Learning
PyTorch
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Software Developer Engineer II
Amazon.com, Inc.
2021-05-01-2023-03-01
  • Led Whole Food Market (WFM)/3P integration with Amazon Fresh Store’s (AFS) next generation order fulfillment services to improve ...
  • Led Whole Food Market (WFM)/3P integration with Amazon Fresh Store’s (AFS) next generation order fulfillment services to improve associate’s order fulfillment rate by 3% with 10MM annual profit gain in NA, EU and JP.
  • Contributed to architectural, testing, release/rollback designs and delivered project at European Union sites over 8 months. •• Supervised 5 away-team devs including design reviews, feature work, bug fixes, and timeline management.
  • Collaborated with 5 cross-org teams/stakeholders to design and scope for 8+ initiatives for future milestones.
  • Implemented next generation fulfillment planning and task prioritization/assignment services for Whole Food Market, Amazon Fresh Store, and Prime Now (UFF) business to support 5M+ shipments/day for future migration.
  • Led 10+ weekly meetings with accounting stakeholders to align and implement incremental solutions for UFF inventory cost reconciliation issue while supporting service ownership transition within 3 month.
  • Designed and fixed UUID overflow issue, extending legacy Amazon Fresh Store/Prime Now warehouse management system by 8+ years.
  • Onboarded 5 new hires including oncall training and project handoffs to support team attrition over 3 month.
Java
Ruby on Rails
JavaScript
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Java
Ruby on Rails
JavaScript
AWS DynamoDB
AWS Lambda
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Software Engineer
AMN Healthcare, Inc.
2020-01-01-2021-04-01
  • Led development on a document peer review feature as a key component for the release of company’s enterprise medical credentialin...
  • Led development on a document peer review feature as a key component for the release of company’s enterprise medical credentialing product, accelerating 40K+ credential verifications and 10K+ provider onboardings per year.
  • Rearchitected feature with Ruby on Rails/React from a delayed project, reducing project timeline from 13 to 4 months.
  • Managed team of 3 and standardized Restful API & Redux best practices, led project with 90% test coverage.
  • Developed a scalable document printing microservice with Node.js and reduced request timeouts across app from 10% to 0% (occurrence rate), improving customer satisfaction.Increased instance throughput by 8x and reduced latency by 3x compared to replaced monolith service.
Ruby on Rails
Node.js
PostgreSQL
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Ruby on Rails
Node.js
PostgreSQL
React
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PROJECTS
Reproduce vision transformer paper from scratchView Project
2023
Coded ViT architecture from scratch in PyTorch, pretrained on CIFAR-10 for 400 epoch, resulting in 90.1% test acc.
Coded ViT architecture from scratch in PyTorch, pretrained on CIFAR-10 for 400 epoch, resulting in 90.1% test acc.
PyTorch
PyTorch