Vishnu Teja Narapareddy

Machine Learning Engineer

Sunnyvale, California, United States5 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in machine learning and its applications.
Developed impactful software solutions at Amazon.
Strong background in teaching and mentoring.

Stackforce AI infers this person is a Machine Learning Engineer with strong expertise in E-commerce and Aerospace industries.

Contact

Skills

Core Skills

Machine LearningNatural Language ProcessingSoftware Engineering PracticesAwsDynamodbComputer Vision

Other Skills

PyTorchAWS LambdaEventBridgeS3SQSAlgorithmsSNSCNNU-NetCJavaNode.jsPythonData StructuresReact.js

About

Vishnu graduated with a BS in Computer Science from the Birla Institute of Technology & Science in India and is now a masters student at Purdue studying computer science. At Purdue, Vishnu is looking forward to expanding his knowledge of machine learning and exploring explainable AI, reinforcement learning, and graph neural networks. Vishnu's primary research interests are in machine learning and its applications in Natural Language Processing and Computer Vision. Vishnu has worked as a software developer at Amazon for over a year and has worked as a research intern at the Indian Space Research Organization (ISRO).

Experience

5 yrs

Total Experience

1 yr 8 mos

Average Tenure

3 yrs 2 mos

Current Experience

Purdue computer science

Graduate Teaching Assistant

Aug 2022 – May 2023 · 9 mos · West Lafayette, Indiana, United States

Purdue university

Graduate Teaching Assistant

Aug 2021 – May 2022 · 9 mos · West Lafayette, Indiana, United States

1. Designed workshops on foundations of neural networks, NLP and Computer Vision for the Data Science Lab.
2. Conducted workshops and demonstrated real-life applications of ML with jupyter notebooks written with PyTorch.
Workshop link for Lectures and Videos - https://guides.lib.purdue.edu/d-velop/2021-ml
1. Intro to Neural Networks - https://guides.lib.purdue.edu/d-velop/ml-dl/intro-nn
2. Intro to NLP Part 1 (Text Processing) - https://guides.lib.purdue.edu/d-velop/ml-dl/intro-nlp
3. Intro to NLP Part 2 (Neural Networks) - https://guides.lib.purdue.edu/d-velop/ml-dl/intro-nlp-2
4. Intro to Computer Vision (Neural Networks) - https://guides.lib.purdue.edu/d-velop/ml-dl/intro-cv

Amazon

3 roles

Software Development Engineer

Jul 2020 – Aug 2021 · 1 yr 1 mo · Hyderabad, Telangana, India

1. Developed a case management solution for customer service agents to handle issues faced by business customers. This service reduced repeat contacts from customers by 60%. Launched the service to production and developed a monitoring dashboard for the maintenance of the service.
2. Designed an automation tool for an intern project and utilized AWS Lambda, EventBridge, S3 Storage, and SQS Events queue cloud services which automated 8 hours of weekly manual effort.
3. Mentored a 6-month SDE Intern and guided him to full-time conversion. Managed the intern, resolved technical blockers with the away team, and ensured that the project was delivered on time and deployed to production.

Software Development Engineer - Intern

Jan 2020 – Jul 2020 · 6 mos · Hyderabad, Telangana, India

1. Enhanced the existing string translation pipeline by using an efficient algorithm to split the large text into smaller chunks, which led to a 10x speed-up by reducing the number of calls to AWS Translate.
2. Developed a REST API that performed CRUD operations on the DynamoDB table.

Software Development Engineer - Intern

May 2019 – Jul 2019 · 2 mos · Hyderabad Area, India

1. Developed an AWS serverless application using AWS Lambda, SQS, DynamoDB, and SNS, which automates email acknowledgments after receiving customer feedback in the system.
2. Identified and solved recurring issues in the current services, which reduced 8 tickets weekly.

Isro - indian space research organization

Summer Research Intern

May 2018 – Jul 2018 · 2 mos · Jodhpur Area, India

1. Developed a software to delineate crater boundaries on Martian surfaces using the Digital Elevation Model of Mars.
2. Applied computer vision techniques like wavelet transform, hough circle transform, and Canny edge detection to extract crater boundary. Implemented a CNN model based on U-Net architecture.