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MCP KERNEL v1.2.3-STABLE

identity.sh
experience_matrix
core_dependencies
deployed_artifacts
academic_history
publications_log
resume.pdf
identity.sh

Suhas Kowligi

DFW, TX | (682) 406-8550 | suhasbk42@gmail.com

Résumé LinkedIn GitHub Portfolio

Full Stack Engineer and MSCS graduate (GPA 3.9) with 6 years of experience designing cloud-native services, microservices, and scalable backend systems. Proficient in Java/Spring Boot, Azure, Terraform, Docker, Kubernetes, and SQL optimization.

Delivered high-impact architectural improvements that improved deployment frequency by 70% and reduced system latency by 30%.

Profile
experience_matrix
Toshiba Global Commerce Solutions
April 2026 - Present
Software Engineer II | Frisco, TX
  • Scaled an event-driven Control Plane using Python Azure Function Apps and Java Microservices to orchestrate concurrent infrastructure deployments, dynamically isolating Terraform state files to prevent locking collisions.
  • Engineered automated teardown mechanisms for successful deployments, eliminating orphaned cloud resources and driving a ~45% reduction in monthly infrastructure spend.
  • Managed complex L3 infrastructure incidents and executed zero-downtime updates to CI/CD pipelines, ensuring reliable provisioning for backend engineering teams.
  • Mentored 2 engineering interns in developing agentic AI workflows, automating Terraform plan summarizations to accelerate infrastructure review cycles.
Toshiba Global Commerce Solutions
May 2025 - March 2026
Software Engineer I | Frisco, TX
  • Executed end-to-end migration of 6 legacy Azure Spring App workloads to Azure Container Apps modernizing the compute architecture and reducing monthly resource costs by ~50%.
  • Resolved persistent Out-Of-Memory (OOM) errors in AKS microservices by tuning HPA and JVM configurations, improving service reliability by 25%.
  • Eliminated critical N+1 query bottlenecks by implementing the Strategy Pattern with in-memory caching, reducing API response time from 1 minute to 5 seconds.
Toshiba Global Commerce Solutions
May 2024 - May 2025
Cloud Engineer Intern | Frisco, TX
  • Authored reusable Terraform modules and built Docker-based service health monitors, standardizing cloud provisioning and reducing downtime by 20%.
Brillio
Apr 2022 - Aug 2023
Senior Software Engineer | Bangalore, India
  • Led a 4-member team to deliver high-performance REST APIs for a major U.S. telecom provider.
  • Reduced API latency by 30% through PL/SQL optimization and multithreading with ExecutorService and Callable.
  • Automated operational workflows with Bash + CRON, saving 10+ engineer-hours per week.
Brillio
Sep 2020 - Apr 2022
Product Engineer | Bangalore, India
  • 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.
core_dependencies
$ profile --fetch-dependencies
>> [LANGUAGES]
Java, Python, JavaScript, SQL, C, Bash
>> [FRAMEWORKS & LIBRARIES]
Spring Boot, Hibernate, React, Flask, jQuery, Selenium, JUnit, PyTorch, TensorFlow, LangChain, NumPy, Pandas
>> [DATABASES]
PostgreSQL, Oracle PL/SQL, MongoDB, MySQL, SQL Server
>> [TOOLS & PLATFORMS]
Azure, Docker, Kubernetes, Terraform, Jenkins, Git, Linux, Kafka, NGINX, Maven, Nexus, SonarQube, JIRA, WebSocket, JSON, YAML
Deployed Artifacts
RAG Pipeline for Document Q&A
GitHub
  • Enabled faster domain-specific Q&A over PDFs by implementing recursive chunking and embedding optimizations using nomic-embed-text, improving processing efficiency by 50%.
  • Built the pipeline using LangChain, ChromaDB, and Phi-3 (Ollama).
Microservices Greeting Card App
GitHub
  • Built a full-stack microservice architecture in Spring Boot, improving service modularity and scalability for a virtual greeting card application where users can create and share greeting cards.
  • Integrated Giphy API and MongoDB Atlas for centralized data storage, with a React frontend.
Walkie-Talkie (WebSockets)
  • Developed a real-time browser-based voice chat app, supporting concurrent client sessions with low latency.
  • Captured and played back audio using Web Audio API and MediaRecorder; backend implemented with Spring Boot WebSockets and binary streaming.
ASL Recognition (Computer Vision)
  • Achieved 96% accuracy for real-time ASL alphabet recognition using a PyTorch deep learning model.
  • Optimized the training pipeline with data augmentation and adaptive learning rates to outperform baseline models like AlexNet.
ePapers Web Application
Demo
  • Streamlined access to local newspaper PDFs, integrating MongoDB, OAuth, and Telegram Bots.
  • Applied Strategy Design Pattern to handle subscription logic and scalability.
ML-based Ensemble Network Security System
Springer Link
  • Detected malicious network packets using ML algorithms (Naive Bayes, K-NN, Decision Tree), improving security monitoring efficiency.
  • Authored and published a research paper in the Springer Journal (November 2021).
  • Implemented scripts with Python and iptables for automated threat mitigation.
Lord of the Rings (LOTR) Design Patterns
GitHub
  • Applied object-oriented design patterns (Strategy, Adapter, Command, Decorator, Factory) to model complex LOTR-themed scenarios.
  • Improved code reusability and maintainability by implementing modular and extensible solutions.
LibSeat Automation
Demo
  • Reduced manual steps in study room reservations at university by automating the workflow with a Python Flask web app deployed on Fly.io.
  • Simplified user interactions with an intuitive interface and streamlined backend logic.
macOS Smart Home Assistant (Jarvis)
GitHub
  • Built a private voice assistant using Picovoice (local wake-word) and Google Gemini LLM to control IoT devices via a headless Home Assistant VM.
  • Automating server infrastructure and VM lifecycle management using Bash scripts and Python.
academic_history

University of Texas

Master of Science, Computer Science | GPA: 3.9

Graduation: 2025 | Arlington, TX

Relevant Coursework: Design And Analysis of Algorithms, Cloud Computing, Database Systems, Web Data Management.

Nitte Meenakshi Institute of Technology

Bachelor of Engineering, Information Science | GPA: 3.68

Graduation: 2020 | Bangalore, India

publications_log
Publications & Core Accomplishments
Machine Learning-Based Ensemble Network Security System

Published in Springer Journal (November 2021)

  • Detected malicious network packets using ML algorithms (Naive Bayes, K-NN, Decision Tree), improving security monitoring efficiency.
  • Authored and published a research paper in the Springer Journal (November 2021).
  • Implemented scripts with Python and iptables for automated threat mitigation.
View Springer Link
Industry Certifications
  • Microsoft Certified: Azure Fundamentals (AZ-900)
  • Scaled Agile Framework: SAFe 5 Practitioner