Building scalable backend systems that power our life insurance platform, processing 10,000+ policies annually ($2.5M+ ARR) in a fast-paced startup.

Internal Automation Platform: Created company-wide automation platform adopted by 100% of engineering teams (35+ users), processing 3,000+ applications and saving 1,000+ hours. Built intelligent application replay system with one-click testing across all environments, reducing testing effort by 70%. (Employee of the Month - July 2025)

System Architecture: Designed automated underwriting model reducing policy processing time by 80%—transforming weeks of manual work into minutes of automated precision while handling complex regulatory requirements.

AI Innovation: Built AI-powered log summarization using Ollama and Mistral models, reducing SLA violations by 70% by proactively identifying production issues before customer impact.

Complex Integrations: Architected Flask APIs with Redis caching for 5 critical third-party services (HIPAA, LABPIQ, MIB, ECR, GIACT fraud detection), enabling real-time underwriting decisions with regulatory compliance.

Technical Leadership: Mentor 5+ developers and product managers on system architecture. Lead client integrations with partner teams, managing testing, deployments, and stakeholder communication.

Startup Versatility: Handle technical documentation, vendor coordination, DevOps collaboration, and client communications—maintaining core development focus while driving measurable business impact.

Modernized enterprise insurance underwriting systems for large-scale deployments, working with cross-functional teams of 8+ members in an Agile environment.

System Modernization: Enhanced Spring-based Underwriting Management System, reducing policy issuance time by 25% while serving 500+ daily transactions. Focused on improving scalability, security, and performance for business-critical insurance workflows.

Microservices Optimization: Architected and maintained Spring Boot + Hibernate microservices, boosting system responsiveness by 15% and achieving 99.9% uptime for enterprise-grade reliability.

Enterprise Integrations: Delivered seamless integrations with external partner systems via RESTful and SOAP APIs, ensuring data consistency across complex enterprise ecosystems.

DevOps & Process Improvement: Streamlined development workflows by implementing robust CI/CD pipelines with Jenkins, Maven, and SVN. Enhanced monitoring and code quality through SumoLogic and Crucible integration.

Agile Collaboration: Consistently delivered features within sprint timelines while collaborating across business, engineering, and QA teams in a large enterprise environment.

Assisted professors with curriculum delivery, grading, and course preparation for 80+ computer science students across two courses.

Data Structures and Algorithms: Implemented and demonstrated generic abstract data types using Java, helping students grasp complex algorithmic concepts through hands-on coding sessions.

Introduction to Artificial Intelligence: Automated assignment testing workflows by writing Bash scripts to execute test cases for 80+ student submissions, reducing grading time by 70% while ensuring consistent evaluation.

Technologies: Java, Bash scripting, Algorithm design

Built Python-based recommendation system that analyzes mobile tower configurations and suggests optimal parameter changes for network performance optimization.

Machine Learning Implementation: Applied scikit-learn K-means clustering algorithms to analyze network performance patterns, achieving 39% improvement in key network KPIs and reducing manual configuration efforts.

Visualization & UI: Designed interactive dashboards using Dash framework for model training workflows and performance visualization, enabling network engineers to monitor system recommendations and model accuracy.

Agile Development: Collaborated in cross-functional teams using Scrum methodology, participating in daily standups and sprint planning to deliver features iteratively.

Built backend infrastructure for enterprise analytics dashboard serving 1000+ concurrent users with sub-second response times in a microservices architecture.

Performance Optimization: Implemented comprehensive filtering system using Java servlets for date filters, sorting, searching, grouping, and aggregation. Reduced Tomcat server load by 15% through strategic caching and pre-calculated data optimization.

Enterprise Integration: Developed configuration mappings using JSPs and POJOs for seamless data binding between applications and database systems, ensuring reliable data flow across enterprise components.

Agile Collaboration: Worked with stakeholders throughout SDLC using Scrum methodology, maintaining comprehensive logs for issue resolution and process improvement.