I'm a results-driven software engineer with 6+ years building scalable enterprise applications using Java and Python. I design microservices, AI-enabled backends, and RESTful APIs with Spring Boot, Flask, FastAPI, and Django, and I love turning data into reliable, secure software. I excel at integrating ML models into production Java environments, automating data processing with Python, and deploying in AWS with ECS, Lambda, and RDS. I mentor teammates, review code, and help Agile teams ship high-quality solutions.

Sandeep Aryal

I'm a results-driven software engineer with 6+ years building scalable enterprise applications using Java and Python. I design microservices, AI-enabled backends, and RESTful APIs with Spring Boot, Flask, FastAPI, and Django, and I love turning data into reliable, secure software. I excel at integrating ML models into production Java environments, automating data processing with Python, and deploying in AWS with ECS, Lambda, and RDS. I mentor teammates, review code, and help Agile teams ship high-quality solutions.

Available to hire

I’m a results-driven software engineer with 6+ years building scalable enterprise applications using Java and Python. I design microservices, AI-enabled backends, and RESTful APIs with Spring Boot, Flask, FastAPI, and Django, and I love turning data into reliable, secure software.

I excel at integrating ML models into production Java environments, automating data processing with Python, and deploying in AWS with ECS, Lambda, and RDS. I mentor teammates, review code, and help Agile teams ship high-quality solutions.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
See more

Work Experience

Full Stack Python & Java Developer (AI & Intelligent Automation) at Bimbo Bakeries
March 1, 2022 - Present
Led AI-driven production intelligence modules using Java Spring Boot microservices that consumed Python ML inference APIs. Architected predictive maintenance by merging Java event processing with scikit-learn models trained in Python. Built a hybrid data pipeline collecting sensor data via Kafka, preprocessing with Python, and pushing real-time predictions to Java services for alert generation. Integrated TensorFlow and PyTorch models into Spring Boot applications to detect abnormal equipment behavior in near real time. Deployed AWS SageMaker endpoints and wired them into Java REST APIs to automate production forecasting tasks. Created FastAPI inference services to enable Python ML containers to be called from Java orchestration layers. Implemented a rules engine to interpret ML outputs and trigger process adjustments within manufacturing workflows. Designed a Java data ingestion framework using AWS Kinesis and Lambda to capture live plant metrics for ML models. Collaborated with data
Backend Developer (Python/Java) at Charles Schwab
January 1, 2020 - February 1, 2022
Led migration of backend systems from Java 8 to Java 11, refactoring Spring Boot apps with AOP, DI, and modular service design. Designed REST APIs in Spring Boot to replace legacy SOAP interfaces, delivering structured JSON endpoints for financial data exchange. Implemented CRUD with Hibernate/JPA on Oracle databases, improving security and performance. Built Python data preprocessing modules for data normalization, cleanup, and feature extraction prior to model training. Developed Flask-based inference APIs integrated with Java services for real-time model scoring. Introduced AI-assisted automation by exposing prediction endpoints within existing Spring Boot workflows and created feature flag mechanisms in Java and Angular to toggle AI models during A/B tests. Leveraged C++ for performance-critical components in backend pipelines. Containerized Java, Node.js, and Python services with Docker and deployed on Kubernetes with Helm. Implemented CI/CD pipelines, monitoring dashboards (Grafa
Software Engineer at J.B. Hunt Transport Services
May 1, 2019 - December 1, 2019
Built microservices and REST APIs using Python (Flask, Django REST Framework) and Java (Spring Boot) for logistics applications. Created automated data processing pipelines using Pandas and NumPy for fleet analytics. Integrated AWS DocumentDB and PostgreSQL to support structured and unstructured logistics data storage. Implemented OAuth2 and JWT authentication for secure communication between logistics systems. Deployed containerized services on AWS ECS with Docker and Kubernetes for high availability. Built React-based dashboards for shipment tracking and route optimization. Configured CI/CD pipelines using Jenkins and GitLab for reliable application delivery. Wrote Bash scripts for API monitoring, cron job automation, and server maintenance. Conducted unit and integration testing using PyTest and JUnit to maintain software reliability. Participated in Agile/Scrum sprints collaborating with developers, data scientists, and analysts. Performed performance profiling and optimized API re

Education

Master of Science in Information Technology at University of the Cumberlands
January 11, 2030 - January 28, 2026
Bachelor of Science in Computer Science at East Central University
January 11, 2030 - January 28, 2026

Qualifications

AWS Certified Solutions Architect – Professional
January 11, 2030 - January 28, 2026
Microsoft Certified: Azure AI Engineer Associate
January 11, 2030 - January 28, 2026

Industry Experience

Software & Internet