Abhinav Kambhammettu
Software Engineer at Verisk | Building & Supporting Scalable, Mission-Critical Insurance & Risk Platforms | Data-Driven Development
- Role
- Software Engineer at Verisk
- Location
- Edison, NJ, US
- LinkedIn followers
- 500 followers
About Abhinav Kambhammettu
Graduate student at Rutgers Business School pursuing an M.S. in Information Technology & Analytics with a concentration in AI, Machine Learning, and Data Science. Skilled in Python, SQL, R, and advanced analytics tools, with hands-on experience in AI-driven financial automation, investment risk modeling, and predictive forecasting. My background combines business analytics, structured finance, and technology-driven innovation to solve complex problems, optimize decision-making, and improve efficiency. Passionate about applying data science and machine learning to create scalable, real-world solutions across finance, technology, and operations.
Experience
Software Engineer
Jan 2026 — Present · Holmdel, NJ, US
As a Software Engineer at Verisk, I contribute to the design, development, testing, and maintenance of mission-critical insurance applications that support enterprise customers and operate at scale under strict reliability requirements. I serve as part of the on-call L1 production support rotation, acting as a first line of defense for system incidents by monitoring alerts and logs, performing initial triage, and collaborating with engineering and operations teams to drive timely resolution. My work includes analyzing production issues to identify root causes, implementing corrective actions, and documenting findings to strengthen system stability, resilience, and operational standards. I participate across the full software development life cycle, from requirements analysis and technical design through implementation, debugging, testing, and deployment of new features and enhancements. In close collaboration with cross-functional stakeholders, I translate business and user requirements into well-designed technical solutions, while contributing to continuous improvement initiatives that refine development practices, automation, and tooling. I apply a strong foundation in data analysis, system design, and analytical thinking—supported by graduate training in Business Analytics, AI/ML, and Data Science—to deliver reliable, data-informed software solutions aligned with Verisk’s insurance and risk platforms.
Education
Rutgers Business School
Bachelor of Science - BS, Business Analytics & Information Technology
Rutgers Business School
Bachelor of Science - BS, Supply Chain Management
Rutgers Business School
Master of Science - MS, Information Technology & Analytics
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