Ben
Software Engineer focused on innovative, and efficient program development and deployment.
Front End, Back End, Machine Learning, AI Research
Shamloufard
Software
Berkeley—California
Engineer
Ben
Software Engineer focused on innovative, and efficient program development and deployment.
Front End, Back End, Machine Learning, AI Research
Shamloufard
Software
Berkeley—California
Engineer
Ben
Shamloufard
Software
Engineer
Selected
projects
(3)
Selected
projects
(3)
Selected
projects
(3)
Amazon
Role
Software Engineering Intern
Stack
AWS Bedrock
AWS S3
AWS DynamoDB
Python
TypeScript
React
About
Created Full-Stack Software to help evaluate RAG based LLM's and Agentic AI on AWS Bedrock platform, creating Gantt graphs of costs, token usage, and created PRISM summary to take thousands of datapoints and summarize them. Processed 4k+ queries and helped over 50+ Software Engineers.
Amazon
Role
Software Engineering Intern
Stack
AWS Bedrock
AWS S3
AWS DynamoDB
Python
TypeScript
React
About
Created Full-Stack Software to help evaluate RAG based LLM's and Agentic AI on AWS Bedrock platform, creating Gantt graphs of costs, token usage, and created PRISM summary to take thousands of datapoints and summarize them. Processed 4k+ queries and helped over 50+ Software Engineers.
Amazon
Role
Software Engineering Intern
Stack
AWS Bedrock
AWS S3
AWS DynamoDB
Python
TypeScript
React
About
Created Full-Stack Software to help evaluate RAG based LLM's and Agentic AI on AWS Bedrock platform, creating Gantt graphs of costs, token usage, and created PRISM summary to take thousands of datapoints and summarize them. Processed 4k+ queries and helped over 50+ Software Engineers.
Berkeley Artifical Intelligence Research Lab (BAIR)
Role
Undergraduate Researcher
Stack
Python
Blender
MegaSynth
Google Maps
About
At BAIR lab, I was mentored by Neerja Thakker, Tyler Bonnen, and advised by Jitendra Malik. I develop advanced computer vision datasets by building a Blender based data generation pipeline that produces over 10,000 high resolution images of tabletops, rooms, and Google Maps street views. Used for testing DINOv2, CLIP, and MAE.
Berkeley Artifical Intelligence Research Lab (BAIR)
Role
Undergraduate Researcher
Stack
Python
Blender
MegaSynth
Google Maps
About
At BAIR lab, I was mentored by Neerja Thakker, Tyler Bonnen, and advised by Jitendra Malik. I develop advanced computer vision datasets by building a Blender based data generation pipeline that produces over 10,000 high resolution images of tabletops, rooms, and Google Maps street views. Used for testing DINOv2, CLIP, and MAE.
Berkeley Artifical Intelligence Research Lab (BAIR)
Role
Undergraduate Researcher
Stack
Python
Blender
MegaSynth
Google Maps
About
At BAIR lab, I was mentored by Neerja Thakker, Tyler Bonnen, and advised by Jitendra Malik. I develop advanced computer vision datasets by building a Blender based data generation pipeline that produces over 10,000 high resolution images of tabletops, rooms, and Google Maps street views. Used for testing DINOv2, CLIP, and MAE.
CodeNinjas
Role
Lead Programming Instructor
Stack
Scratch
JavaScript
Python
C++
About
At CodeNinjas, a global programming school with over 400 franchises, I designed and taught coding curricula in Python, JavaScript, LUA, Robotics, and C++ to more than 360 students. I worked closely with over 120 parents to create 50+ custom lesson plans tailored to individual learning needs.
CodeNinjas
Role
Lead Programming Instructor
Stack
Scratch
JavaScript
Python
C++
About
At CodeNinjas, a global programming school with over 400 franchises, I designed and taught coding curricula in Python, JavaScript, LUA, Robotics, and C++ to more than 360 students. I worked closely with over 120 parents to create 50+ custom lesson plans tailored to individual learning needs.
CodeNinjas
Role
Lead Programming Instructor
Stack
Scratch
JavaScript
Python
C++
About
At CodeNinjas, a global programming school with over 400 franchises, I designed and taught coding curricula in Python, JavaScript, LUA, Robotics, and C++ to more than 360 students. I worked closely with over 120 parents to create 50+ custom lesson plans tailored to individual learning needs.
Who's Ben?