# Nikhil Masand > Software Engineer @ Barclays | 3x AWS Certified | MS in Info Systems | Cloud | ML | CI/CD | Angular | Python Location: New York City Metropolitan Area, United States Profile: https://flows.cv/nikhilmasand 🚀 Software Engineer @ Barclays | AWS Certified (Solutions Architect, Cloud Practitioner, AI Practitioner) | MS in Information Systems | Binghamton University I'm a results-driven software engineer passionate about building scalable systems and bridging the gap between business goals and technology. With experience across backend, frontend, cloud, and ML/AI, I bring a full-stack perspective and a deep curiosity for solving complex problems that drive impact. Currently, I work at Barclays, where I’ve contributed to a diverse range of engineering and automation initiatives — from CI/CD pipelines and Kubernetes monitoring to cloud data classification, compliance agents, and UI tools built with Angular. My work has led to major improvements in engineering efficiency, data reconciliation, and regulatory tracking. 🛠️ Key Technical Skills Languages & Frameworks: Python, Java, Angular, Django, C#, Go, React, Node.js Cloud & DevOps: AWS (S3, CloudFront, Cloud9, Quicksight), Docker, CI/CD, Nexus, SonarQube, Shell Data & AI/ML: PostgreSQL, TensorFlow, OpenCV, Keras, Data Visualization, Predictive Analytics Tools & Platforms: Git, Linux, Jupyter Notebook, XCode, VS Code, Kubernetes 📚 Academic Background I hold an MS in Information Systems from Binghamton University and a BE in Computer Engineering from Mumbai. My coursework spans applied machine learning, data mining, OOP, software project management, and web information retrieval — forming the foundation for my applied work in AI/ML, full-stack systems, and automation. 🏆 Notable Achievements Winner – Barclays Generative AI Hackathon 2024 (2nd out of 10 teams), Barclays Tech Innovation Bootcamp 2023 (1st out of 20 teams) Published Research – AI/ML paper “Ocean Waste Detection” presented at Tech for Sustainability Conference (Motilal NIT, 2022) Built a scalable EOD Report Automation System that reduced manual effort by 85% Engineered a smart regulatory agent system using semantic vector search in PostgreSQL 📈 What Drives Me Whether it’s streamlining engineering workflows, launching tools that help teams stay compliant, or automating legacy processes — I thrive on delivering high-impact solutions that align technology with user needs. I'm especially excited by cloud-native architecture, applied AI, and opportunities that blend product thinking with engineering execution. 📬 Let’s Connect If you're working on problems at the intersection of software, cloud, or intelligent systems — or if you’re hiring engineers who are driven, certified, and hands-on — I’d love to connect. ## Work Experience ### Software Engineer @ Barclays Jan 2024 – Present | Whippany, New Jersey, United States ●Lighthouse Project - UI Development: Led UI development for Lighthouse using Angular, TypeScript, HTML, CSS, and APIs—a tool to manage JIRA tickets. Enabled regulatory understanding, raised JIRAs for new asks, and tracked delivery to ensure compliance and alignment with business goals. ● Business Analyst for Reconciliation: Collaborated with internal teams and DTCC to reconcile datasets via Python scripts. Flagged mismatches, coordinated fixes, and translated business inputs into developer tasks to improve data accuracy and team synergy. ● Cloud Data Classification & Automation: Helped classify cloud data into on-prem/off-prem using Python and shell scripts. Built config files, automated audits, and achieved 100% accuracy under tight deadlines. ● Agentic Regulatory System: Created a system with topic-specific compliance agents and smart query routing. Used semantic vector search on PostgreSQL for better regulatory data handling. ● CI/CD Pipeline for Shuttlerun Pricing Service: Engineered CI/CD for a C# service generating trading prices. Automated deployments, unit tests, coverage reporting, SonarQube onboarding, Docker image push to Nexus, and production promotion—cutting manual effort by ~80% and saving 40+ dev hours monthly. ### Technology Analyst @ Barclays Jan 2023 – Jan 2023 | Whippany, New Jersey, United States ◦ Environment Comparison: Implemented Python code to validate the number of orders and executions between different environments (PROD/DR) in egKDB. Conducted comprehensive comparisons, resulting in a 95% reduction in discrepancies between environments. ◦ Kubernetes Monitoring and Integration: Setup monitoring infrastructure for Kubernetes. Integrated the monitoring system with ITRS(Infrastructure and Technology Services) system, enabling real-time tracking and analysis. Achieved up to 90% uptime monitoring for Kubernetes resources, ensuring proactive issue identification and resolution. ◦ Developed a completely new python code, for services being shifted to the KDB database, and the queries were being run manually for each client, so reduced the manual effort by 85% by developing a code with a scalable config file input, which helped the team run a single script and know whether the EOD reports are being sent to the client in accordance with the SLA, and the result matches the DR environment, and update the status to OK or critical with respect to the result. ### Data Science and Business Analytics @ The Sparks Foundation Jan 2021 – Jan 2021 ## Education ### Master's degree in Information Systems Binghamton University ### Bachelor's degree in Computer Engineering Vivekanand Education Society's Institute Of Technology ### HSC in SCIENCE Pet Oxford Junior College, Ulhasnagar ### SSC K.C Gandhi English School, Kalyan (W) ## Contact & Social - LinkedIn: https://linkedin.com/in/nikhil-masand --- Source: https://flows.cv/nikhilmasand JSON Resume: https://flows.cv/nikhilmasand/resume.json Last updated: 2026-04-05