# Jaison Mneyergi > Backend Engineer | Django, Kubernetes Location: Greater Boston, United States Profile: https://flows.cv/jaison I am a Software Engineer with over three years of experience in developing scalable, cloud-native applications, specializing in backend development and microservices architecture. My expertise lies in Python, Java, and JavaScript, with a strong focus on automation, Kubernetes, and REST API optimization to enhance system performance and reliability. Passionate about building efficient, high-performing solutions, I thrive in solving complex technical challenges and optimizing architectures for scalability and maintainability. Whether it's designing robust backend services, automating workflows, or improving infrastructure resilience, I am dedicated to driving innovation and delivering impactful solutions. I enjoy collaborating with cross-functional teams, mentoring peers, and continuously expanding my knowledge in cloud computing, distributed systems, and DevOps practices. My goal is to build technology that not only meets business needs but also scales efficiently and sustainably. Always open to connecting with like-minded professionals to discuss software engineering, automation, and cloud technologies. Let’s build something great together! πŸš€ ## Work Experience ### Software Engineer @ Confidential Consulting Firm Jan 2024 – Present | Boston, Massachusetts, United States β€’ Developed a full-stack client-facing application from scratch using Django, React, Docker, and deployed it on Heroku. β€’ Integrated third-party APIs including SendGrid for transactional emails and Google Places API for address autocomplete. β€’ Delivered production-ready code, collaborating directly with stakeholders to translate requirements into scalable features. ### Junior Backend Engineer @ Boost Jan 2022 – Jan 2024 | New York, New York, United States β€’ Built and optimized multiple backend RESTful APIs with full CRUD functionality, enhancing data handling efficiency and system reliability. β€’ Automated repetitive processes by developing custom scripts, reducing manual effort and improving operational efficiency. β€’ Managed Kubernetes deployments for efficient cluster operations and service management. ### Software Engineer Intern @ Boost Jan 2022 – Jan 2022 ### Software Engineer Intern @ Flux Marine Ltd. Jan 2022 – Jan 2022 Contributed to the development of the Baze vessel navigation app as part of a collaborative team effort: β€’ Participated in the development of a boat navigation application. β€’ Designed and implemented a user interface that performs API calls to retrieve route mappings. β€’ Coordinated with Open Sea and NOAA to gather comprehensive information about their services and applications. ### Machine Learning Researcher @ UMass Boston Jan 2021 – Jan 2022 | Boston, Massachusetts, United States Additive Manufacturing: β€’ Optimized auto-encoder applications for 3D metal printers. β€’ Conducted research on Deep Learning models and their optimal use cases. β€’ Authored a paper highlighting the advantages and disadvantages of using Convolutional Neural Networks (CNN) for image denoising. ## Education ### Bachelor's degree in Computer Science UMass Boston ## Contact & Social - LinkedIn: https://linkedin.com/in/jaison-mneyergi-7093a5189 --- Source: https://flows.cv/jaison JSON Resume: https://flows.cv/jaison/resume.json Last updated: 2026-03-28