Suhas Kowligi

Toshiba Global Commerce Solutions

Software Engineer I (Full-Time)

Frisco, TX | May 2025 - Present

• Converted to Full-Time based on high-impact contributions to the cloud deployment platform.
• Increased deployment frequency by 70% by refining Terraform parameters and supporting migration from single-tenant to multi-tenant architecture.
• Resolved persistent Out-Of-Memory (OOM) issues in AKS microservices, tuned HPA configurations, and optimized JVM resource usage, improving service reliability by 25%.
• Automated secure creation of Azure Service Principals and Key Vault secret ingestion, reducing manual setup time across teams by 40%.

Toshiba Global Commerce Solutions

Cloud Engineer Intern

Frisco, TX | May 2024 - May 2025

• Developed cloud deployment platform using Azure Durable Functions, integrating Azure Spring Apps, Static Web Apps, and Azure SQL Server.
• Built Docker-based service health monitors using Uptime Kuma, enabling proactive detection of degraded cloud resources and reducing downtime by 20%.
• Authored reusable Terraform IaC modules and Jenkins pipelines, standardizing cloud provisioning and artifact generation.

Brillio

Senior Software Engineer

Bangalore, India | Apr 2022 - Aug 2023

• Led a 4-member team to deliver high-performance RFDS REST APIs for a major U.S. telecom provider.
• Reduced API latency by 30% through PL/SQL optimization and multithreading with ExecutorService.
• Automated operational workflows with Bash + CRON, saving 10+ engineer-hours per week.
• Improved backend reliability and UI performance through caching strategies and structured refactoring.

Brillio

Product Engineer

Bangalore, India | Sep 2020 - Apr 2022

• Built full-stack features using Spring Boot, Java EE, jQuery, and Oracle SQLDeveloper.
• Reduced customer issues by 40% via API optimizations and root-cause analysis of production incidents.

RAG Pipeline for Document Q&A

AI / Machine Learning

Engineered a local Retrieval-Augmented Generation pipeline using LangChain, ChromaDB, and Phi-3 (Ollama). Optimized data flow by implementing recursive chunking and using nomic-embed-text to solve LLM context window constraints, enabling accurate Q&A over proprietary PDFs.

Microservices Greeting Card App

Full Stack / Cloud

Built a full-stack microservice architecture improving service modularity and scalability. Integrated Spring Cloud Gateway, Eureka Discovery, Giphy API, and MongoDB Atlas for centralized data storage with a React UI.

Walkie-Talkie (WebSockets)

Real-Time Web App

Developed a real-time browser-based voice chat app supporting concurrent client sessions. Captures audio using Web Audio API and streams binary data via Spring Boot WebSockets for low-latency playback.

ASL Recognition (Computer Vision)

Deep Learning

Achieved 96% accuracy for real-time American Sign Language alphabet recognition using a PyTorch deep learning model. Optimized training with data augmentation and adaptive learning rates to outperform baseline models like AlexNet.

ePapers Web Application

Web Application

Streamlined access to local newspaper PDFs, integrating MongoDB, OAuth, and Telegram Bots. Applied the Strategy Design Pattern to handle scalable subscription logic based on city preferences.

LOTR Design Patterns

Software Architecture

Applied object-oriented design patterns (Strategy, Adapter, Command, Decorator, Factory) to model complex Lord of the Rings themed scenarios, emphasizing code reusability and extensibility.

ML-based Ensemble Network Security System

Academic Research

Authored and published a research paper in the Springer Journal. Detected malicious network packets using ML algorithms (Naive Bayes, K-NN, Decision Tree) and automated threat mitigation using Python and iptables.

Machine Learning-Based Ensemble Network Security - Publication

Nov 2021

Open Source Contribution - Hacktoberfest 2023

Oct 2023