# Nicholas D'Agosto V > Software Engineer at Reality Interactive Location: Shelton, Connecticut, United States Profile: https://flows.cv/nicholasdagostov I'm a versatile computer science professional with a strong foundation from the University of Connecticut, specializing in software development, cloud infrastructure, and data engineering. I have experience working with a range of programming languages, including Python, Next.js (React), Tailwind, C, Java, RISC-V assembly, Kotlin, and SQL, and I enjoy building scalable systems, developing robust backend solutions, and optimizing data pipelines. My work with AWS has involved cloud-native architectures, including serverless computing, log aggregation, and analytics pipelines using OpenSearch, S3, Lambda, Elasticsearch, Logstash, and Kibana. I've also developed Retrieval-Augmented Generation (RAG) solutions, leveraging LLMs for intelligent data retrieval and enhancing AI-driven workflows. In data engineering and data science, I've built and maintained high-performance ETL processes, developed insightful visualizations, and implemented machine learning models to drive better decision-making. I'm always looking for ways to solve complex problems at scale and explore emerging technologies to build efficient, high-impact solutions. ## Work Experience ### Software Engineer @ Reality Interactive Jan 2023 – Present | Middletown, Connecticut, United States ● Built a RAG-powered chatbot for a major U.S. mall operator's public site using Next.js/React, Python, and ChatGPT, with a Weaviate vector store; integrated AWS Lambda and EventBridge to automate periodic data refreshes for store info, hours, promotions, and events. ● Maintained, enhanced, and extended a real-time metrics system for our digital signage platform (C#/.NET backend with MSSQL + Vue.js frontend), enabling distribution of content and collection of live telemetry from thousands of android players running our in-house app. ● Maintained legacy ELK stack, then led migration to Logstash + Opensearch on AWS, optimizing cluster configuration and storage policies to reduce cloud costs by ~10% and improve system uptime through more resilient indexing and alerting pipelines. ● Maintained and improved AWS-based observability + analytics infra (EC2, S3, RDS, Cloudwatch, Opensearch), including alerting pipelines, backups, and indexing policies; built dashboards in Kibana/Opensearch to surface device health and log analytics; contributed to efforts to standardize deployments and support scaling. ● Made incremental contributions to Android apps in Java, including UI layout and accessibility-focused design changes; shipped updates used across several thousand client devices. ● Provided support during critical incidents, collaborated with PMs and QA. ### Project Intern @ Vancord Jan 2022 – Jan 2022 | Milford, Connecticut, United States ### Tech Supervisor @ Staples Jan 2021 – Jan 2021 | Milford, Connecticut, United States Responsible for computer intake, maintaining, troubleshooting, and repairing. Knowledgeable in PC/Mac repairs and troubleshooting. Maintaining inventory. Customer Service. ### Instructor @ Mathnasium - The Math Learning Center Jan 2015 – Jan 2018 | Trumbull, Connecticut, United States • Taught children math concepts help them gain a a better understanding. • Observed and evaluated student performance and development, and provided appropriate feedback. • Coached students through challenging material with positive reinforcement and encouragement. • Engaged students and made lessons entertaining to hold interest and encourage learning. • Employed variety of teaching styles to respond to needs of diverse learners. • Tutored ages 6 to 18. ## Education ### Bachelor of Science - BS in Computer Science University of Connecticut Jan 2020 – Jan 2023 ### Computer Science University of Miami Jan 2019 – Jan 2020 ### Trumbull High School ## Contact & Social - LinkedIn: https://linkedin.com/in/nickdagosto - Website: https://dagosto.com --- Source: https://flows.cv/nicholasdagostov JSON Resume: https://flows.cv/nicholasdagostov/resume.json Last updated: 2026-04-01