Samikshya Khadka
****.********@*****.*** 720-***-**** Colorado
LinkedIn: https://www.linkedin.com/in/samikshyakhadka/
Professional Summary
Senior Full Stack Java Developer with over 7 years of experience building enterprise-grade applications across finance, insurance, and healthcare domains. Skilled in developing microservices using Java 17, Spring Boot, and Spring Cloud, with strong expertise in AWS, Kubernetes, and CI/CD automation and leading cross-functional teams to deliver full-stack solutions using modern Java frameworks and microservices patterns. Adept at designing secure, high-performance APIs, optimizing databases, and integrating AI/ML solutions for fraud detection and analytics. Experienced in modernizing legacy systems, leading Agile teams, and ensuring compliance with PCI-DSS and data security standards. Holds advanced certifications in Java, AWS Security, and Machine Learning.
Technical Skills
Languages: Java Python, Node.js, C#, C++, JavaScript, TypeScript, SQL, PL/SQL
Frameworks & Libraries: Spring Boot, Spring Cloud, Hibernate, JPA, Angular, React,
Cloud & DevOps: AWS, Azure (basic), Docker, Kubernetes, Jenkins, GitHub Actions, Terraform
Databases: PostgreSQL, Oracle, MySQL, Amazon RDS
Messaging & Async: Kafka, AWS SNS/SQS
Security & Authentication: OAuth2, JWT, OpenID Connect, RBAC, API Key Management, PCI-DSS Compliance
Tools & Platforms: Git, Maven, JIRA, Postman, Splunk, Visual Studio, IntelliJ IDEA
Testing: JUnit, Mockito, Selenium, Postman
Methodologies: Agile, Scrum, Test-Driven Development (TDD), CI/CD, Domain-Driven Design (DDD), Microservice Architecture
Other: AI/ML Integration (Fraud Detection APIs, Prediction Models), REST/SOAP APIs, API Gateway, Frontend-Backend Integration
Charles Schwab – Denver, CO
Senior Java Developer Nov 2023 – Present
Architected and implemented large-scale Java 17 microservices using Spring Boot, Spring Cloud, and REST APIs for real-time brokerage operations and trade execution.
Deployed distributed systems on AWS ECS, Lambda, and API Gateway, improving system reliability and fault tolerance.
Designed and integrated asynchronous messaging workflows with Kafka to process high-frequency trading events at scale.
Built a unified UI using Angular 14 and TypeScript for responsive portfolio and transaction visualization.
Integrated AI/ML models for fraud detection and portfolio optimization into Java microservices using TensorFlow and AWS SageMaker.
Implemented JNI modules for Java–C++ interoperability, connecting microservices with legacy risk and margin computation engines for real-time analytics.
Developed secure CRUD APIs in Java 17 and Spring Boot for customer portfolios, transactions, and account management.
Optimized PostgreSQL and Amazon RDS performance through query tuning, indexing, and connection pool adjustments for sub-second API responses.
Refactored performance-critical services with Completable Future and reactive programming to reduce latency and increase throughput.
Led the migration of legacy financial services to containerized microservices orchestrated via Kubernetes.
Collaborated with cloud architects to design CI/CD pipelines using Jenkins, GitHub Actions, and Terraform for AWS provisioning.
Defined security hardening policies covering RBAC, encryption standards, and audit logging for compliance.
Integrated third-party market APIs (Bloomberg, Plaid) through secure OAuth2 and JWT-based authentication.
Designed Node.js API gateways for service throttling, routing, and authentication bridging between internal and external APIs.
Played a key role in AWS cost optimization, re-architecting compute workloads and resource utilization for better efficiency.
Led Agile sprint planning and code reviews, mentoring junior developers on full-stack engineering best practices.
Prudential Financial – Newark, NJ
Java Developer May 2020 – Oct 2023
Led the design and development of Java-based web applications for insurance claims, billing, and underwriting processes using Spring MVC, Hibernate, and JPA.
Engineered secure and scalable REST APIs in Java 11 to support mobile app integration and external B2B platforms.
Integrated with AWS services (S3, SNS, RDS, Lambda) to enable cloud-based data storage, event notifications, and scalable backend processing.
Developed a responsive Angular 10 front-end portal for internal users, interfacing with Java-based APIs for real-time policy data updates.
Created dynamic UI components using React and integrated them into legacy Angular applications to improve UX consistency.
Designed middleware modules using Node.js for message transformation between insurance data feeds and backend Java services.
Collaborated with data engineers to integrate AI/ML models (customer churn prediction, fraud risk scoring) into Java APIs via REST endpoints.
Implemented batch jobs using Spring Batch to automate claims data validation and archival, improving back-office throughput.
Delivered end-to-end CI/CD automation using Jenkins, GitHub Actions, and Terraform for provisioning AWS infrastructure.
Built data ingestion workflows with Python scripts for ETL processing, feeding underwriting models from various data sources.
Participated in multi-cloud strategy discussions and contributed to hybrid deployments across AWS and Azure environments.
Wrote secure, optimized SQL and PL/SQL queries in Oracle DB for high-volume transactional use cases and backend reporting APIs.
Integrated OAuth 2.0 and OpenID Connect for secure customer authentication across digital insurance platforms.
Supported test automation using JUnit, Mockito, and Selenium, helping achieve 90% code coverage across business modules.
Built RESTful microservices to expose document generation services using C# backends via inter-service communication layers.
Facilitated sprint planning and backlog grooming sessions as part of Agile delivery teams, contributing to improved feature delivery predictability.
Mentored junior Java developers on Spring frameworks, code reviews, and clean coding principles across multiple cross-functional pods.
UC Health – Denver, CO
Java Developer Jun 2018 – Apr 2020
Developed and optimized Java-based microservices using Spring Boot and Spring Cloud to support real-time healthcare payment processing and patient billing operations.
Built and deployed secure backend services on AWS EC2 and ECS, leveraging S3 and RDS (PostgreSQL) for HIPAA-compliant data storage and integrity.
Designed RESTful APIs for claims submission, patient eligibility checks, and transaction settlements, integrated with internal and partner healthcare systems.
Enhanced legacy batch systems with Python-based automation scripts, improving claims data throughput and minimizing manual reconciliation.
Collaborated with data scientists to embed AI/ML-driven fraud detection and anomaly scoring models into Java microservices for identifying suspicious medical billing patterns.
Implemented a real-time operations dashboard using Angular 6 and Spring Boot, providing live status visibility for healthcare transactions and payment workflows.
Supported migration of on-prem clinical systems to AWS, containerizing services with Docker and managing releases through Jenkins pipelines.
Developed interoperability services to exchange patient and billing data securely across EHR and insurance systems using REST and SOAP APIs.
Integrated OAuth2 and JWT-based authentication to ensure protected access and compliance with healthcare data security standards.
Refactored monolithic healthcare applications into modular microservices, improving scalability, performance, and system maintainability.
Implemented C# and .NET Core connectors to integrate Java services with hospital management and scheduling platforms.
Authored optimized SQL and PL/pgSQL queries for patient records and transaction logs, ensuring efficient retrieval under high-load conditions.
Built Node.js middleware services for secure, event-driven communication between hospital systems and insurance clearinghouses.
Developed AWS Lambda functions in Python to automate claims validation and payment reconciliation tasks.
Collaborated with cybersecurity teams to enforce HIPAA and PCI-DSS compliance, including SSL configurations and tokenization of sensitive patient identifiers.
Participated in Agile ceremonies and code reviews, contributing to secure, compliant, and high-availability healthcare APIs for patient and payment systems.
Education
Maters in information system Security, University of Cumberland’s, Kentucky