Sampoorna Karinje
Seattle
Overview
7
7
years of professional experience
Work History
Software Developer
Amazon
Bellevue
05.2020 - Current
- Spearheaded design and launch of the In-Store Pickup feature, enabling customers worldwide to order online and collect from local stores.
- Expanded Amazon Warehousing & Distribution (AWD) by building APIs and lightweight UIs for custom label uploads, boosting logistics efficiency ~25%, cutting label errors 30%, and accelerating AWD adoption.
- Eliminated data loss and queue buildups, cutting processing delays by ~40% and enabling reliable, multi-timezone replenishment for AWD's global expansion.
- Oversaw a high-availability AWS ECS microservice platform within Amazon's Merchant Fulfillment Network, driving multimillion-dollar global revenue.
- Orchestrated and fine-tuned AWS services (DynamoDB, ECS, Lambda, S3, Kinesis, SNS, SQS, CloudWatch) to maximize performance and reliability.
- Optimized microservice platform resource utilization through performance-driven improvements, reducing latency on critical endpoints by 8%.
Software Developer
Epsilon
Irving
07.2019 - 05.2020
- Created innovative monitoring solutions by leveraging Spring Boot and Spring MVC frameworks. Successfully integrated Nagios, Grafana, MySQL, and Cassandra to enhance the email deployment platform's support and automation capabilities, resulting in greater operational efficiency and system reliability.
- Demonstrated a strong track record of conducting deep dives into complex issues in distributed and scalable systems, ensuring seamless operation in a 24/7 production environment.
- Pioneered the design and implementation of an ELK Stack-based machine learning model. Using Logstash logs, the model effectively identified anomalies in email sending patterns across distributed server instances within the Epsilon email deployment platform.
Software Developer Intern
Epsilon
Irving
06.2018 - 12.2018
- Implemented a machine learning algorithm (RNN with LSTM) that improved Epsilon's API server utilization forecast by ~10%.
- Developed a framework to integrate AI across Epsilon's applications (both client-side and back-end), covering business case formation and deployment of services into production.
Education
Masters - Computer Science
University of Texas at Dallas
Richardson, TX05.2019
Masters - Information Technology
University of the Cumberlands
Williamsburg, KY03.2024
Bachelor of Engineering - Computer Science
R. N. S. Institute of Technology
Bangalore, India06.2017
Skills
- Java
- Python
- C
- C
- JavaScript
- HTML
- CSS
- REST
- SOAP
- AJAX
- PHP
- CI/CD
- Postman
- Jupyter Notebook
- Git
- SCRUM
- API development
- Microservices architecture
- Cloud services management
- Data processing optimization
- Machine learning integration
- Logistics systems enhancement
Projects
- Web Application for Online Pizza Orders: Designed and implemented a web application resembling an e-commerce platform where consumers could order pizzas online. Features included an admin dashboard, user login and registration, and product information pages.
- Accident rate Forecasting System using Big Data: Visualized the UK road accidents dataset (~800,000 rows, 25 columns) using Python. Grouped accident data into clusters based on location information with Spark MLlib and developed a time forecasting system using the ARIMA model, predicting accident rates with ~82% accuracy.
- Template Matching using NLP Techniques: Created a corpus related to the Entertainment domain consisting of 50,000 words and performed cleaning and tokenization. Matched and filled appropriate templates by extracting semantic features using dependency parsing, WordNet, stemming, POS-tagging, and lemmatization, achieving an accuracy of ~80%.
Timeline
Software Developer
Amazon
05.2020 - Current
Software Developer
Epsilon
07.2019 - 05.2020
Software Developer Intern
Epsilon
06.2018 - 12.2018
Masters - Computer Science
University of Texas at Dallas
Masters - Information Technology
University of the Cumberlands
Bachelor of Engineering - Computer Science
R. N. S. Institute of Technology