Software Development, deep learning

Summary

1. Full-stack Programmer | Rackham Graduate School | University of Michigan-Ann Arbor Jan 2022 March 2023
Debugged and fixed backend & frontend issues on Rackham school websites.
Resolved technical issues in existing Rackham software, impacting 1000+ users and automated processes, improving efficiency by 20%.
Deployed interactive systems and seamlessly integrated new features & updates in the production servers.

2. Amazon Inc. | Software Development Engineer Intern | Seattle, US May 2022 Aug 2022
Designed real-time audit system for data visibility, preventing historical record overwrites for 10M+ tasks, while managing large datasets. Utilized Scala, Java, AWS Lambda, AWS DynamoDB, and Apache Spark.
Implemented audit task store for bulk data access for multiple teams and handling multiple audits per task.
Deployed Oozie workflow, improving brand audit data quality by 10% enabling ML brand match retraining for 100k+ brands.
Demonstrated soft skills including dive deep, presentation, ownership, communication, time management, and meeting deadlines throughout the project.

3. 3D Generative AI | Graduate Teaching and Research Assistant | University of Michigan-Ann Arbor Aug 2021 Aug 2022
Took practical classes and created AI assignments as a Teaching Assistant for the course ARCH 509 Architecture and AI.
Conducted research at Architecture-AI (AR2IL) Laboratory as a Research Assistant.
Created a large-scale 3D model housing database for architectural design using GNNs and 3D Generative Adversarial Networks. work
Explored various semantic segmentation architectures, including UNets and DeepLab v3, achieving an IoU score of 0.76.

4. Data Science and Machine Learning Engineer | KocharTech | Amritsar, India Aug 2020 Aug 2021
Implemented Computer Vision solutions and algorithms to client requirements: object identification, trespasser detection, face detection, loitering detection, smoke & fire detection in over 6 projects.
Developed low-cost COVID-19 crowd detection system (Haar Cascades, MobileNet SSD, Centroid tracker, Dlibs correlation algorithms, image segmentation techniques for object tracking and unique ID assignment).

Expectations

Looking for a challenging role to solve real-world problems, passionate about contributing to society & maintaining work-life balance. Seeking innovative, collaborative company with growth opportunities in software development data, machine learning, deep learning, computer vision. Pro-environment & eager to learn.

Employment Preferences

Expected Base Salary

**0,000 USD

Academic Degree

Experience

Skills

• Python
• Java
• C
• C++
• SCALA
• Django
• Julia
• R Language
• MATLAB
• PyTorch
• Numpy
• Matplotlib
• Pandas
• Convolutional Neural Networks
• CNNs
• OpenCV
• TensorFlow
• Keras
• Scikit-learn
• HuggingFace
• REST APIs
• Hadoop
• Spark
• Hive
• Git
• Linux
• SQL
• NoSQL
• AWS
• S3
• EC2
• Lambda
• Step Functions
• CDK
• GCP
• Docker
• Shell
• Bash
• ZSH
• Flask
• Json
• Scala
• Smithy Programming
• Handling Large Datasets
• Apache Spark
• Apache Nile Workflow
• AWS Lambda
• API Gateway
• AWS DynamoDB
• Blimp Cluster
• HUE UI
• Agile Software Development