Riyaz Panjwani

Senior Software Engineer

Seattle, Washington, United States6 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Three years of experience in building scalable systems.
  • Dean's List graduate from Carnegie Mellon University.
  • Expertise in Machine Learning and Cloud Systems.
Stackforce AI infers this person is a Software Engineer with expertise in Fintech and Cloud Computing.

Contact

Skills

Other Skills

Cloud & Distributed SystemsDeep LearningMachine LearningSoftware Development

About

Currently working as a Senior Software Engineer at Apple. Previous: Software Engineer Intern at Google. I graduated from Student at Carnegie Mellon University. Dean's List (all semesters). Areas of Interest: Machine Learning, Deep Learning, Software Development, Cloud & Distributed Systems. I did my undergrad from NIT Allahabad in 2018. Since then I have been working as a Software Engineer. I have three years of professional work experience building distributed & scalable systems. Let me know if you are building something interesting!

Experience

Apple

Senior Software Engineer

Jan 2023Present · 3 yrs 2 mos · Seattle, Washington, United States

  • Working with talent engineers to build stellar products.

Google

Software Engineer Intern

May 2022Aug 2022 · 3 mos · Sunnyvale, California, United States

  • Worked on various low-level optimization algorithms to increase the impact of cross pipeline optimization for the FlumeC++ SDK. Flume is a data processing solution within the company that currently supports millions of pipeline executions per day and has replaced MapReduce for its ease of use.

Carnegie mellon university - tepper school of business

Graduate Teaching Assistant

Jan 2022Apr 2022 · 3 mos · Pennsylvania, United States

  • Teaching Assistant for the following courses.
  • 45-883 Statistics for Business Analytics
  • 17-644 Applied Deep Leaning
  • 17-635 Software Architecture
  • 17-647 Data Intensive and Scalable Systems

Machine learning department at cmu

Graduate Teaching Assistant

Aug 2021Dec 2022 · 1 yr 4 mos · Pittsburgh, Pennsylvania, United States

  • Fall 2022:
  • TA for 10-418/618 Probabilistic Graphical Models (ML for Structured data)
  • Fall 2021:
  • Teaching Assistant for course 10718 under Professor Rayid Ghani at the School of Computer Science CMU (Machine Learning Department)
  • 95-851 Data Science for Product Managers

Cure.fit

Product & Engineering

Jul 2020Jul 2021 · 1 yr

  • Building the safest gym in town, Cult.fit

Visa

2 roles

Software Development Engineer

Jul 2018Jul 2020 · 2 yrs · Bangalore

  • Spearheaded the efforts to revamp the batch settlement system for CYBS (No.1 payment gateway in India) to achieve high availability using micro-service architecture and low-latency optimizations.
  • Engineered a hybrid cloud framework to assist the deployment of applications on 3rd party cloud platforms (AWS, GCP, Azure) and Visa's private cloud.
  • Designed and Implemented a platform for service/client onboardings of financial partners on IBM DataPower devices. Automated workflows reduced person-hours from 10-15 days to a few minutes.
  • Developed Cloud Metrics, an application metrics monitoring agent that generates alerts and notifies the Ops team in case of anomaly. Supports visualizations through internal tool OperA.
  • Conceptualized and developed an end-to-end application for standardized container deployments via CI/CD pipelines. Maintained a success rate of over 90% and test coverage of over 80% for all the code committed.

Software Development Intern

May 2017Jul 2017 · 2 mos · Bengaluru Area, India

  • Developed end to end CI/CD pipeline to build and deploy applications using Containerization Technology.
  • Wrote the backend (APIs) for deploying images (relevant to the Visa Security context) on the cluster, which is now being used by a majority of technology teams in Visa.

National institute of technology warangal

Summer Intern

May 2016Jul 2016 · 2 mos · Warangal Area, India

  • “A brief introduction to package testing with trackeR package”
  • Brief Description: Built a package for R developers to track Quantitative metrics such as run-time of target package(s) over past changes in the code.
  • Basic Output: Performed measurements of Run-time analysis for stringr package over last 2 commits (GitHub) and predicted the change in efficiency as 30.2% i.e. from 0.0511 ns to 0.398 ns.

Education

Carnegie Mellon University

Master's degree

Jan 2021Jan 2022

Motilal Nehru National Institute Of Technology

Bachelor’s Degree

Jan 2014Jan 2018

Sri Chaitanya College of Education

PCM

Jan 2012Jan 2014

St.Peter's Central Public School

High School

Jan 2008Jan 2012

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