Senior Software Engineer

Engineered scalable healthcare and FinTech platforms using React, Next.js, TypeScript, Java, Spring Boot, Python, FastAPI, PostgreSQL, Redis, and microservices. Increased feature delivery speed by 35% while delivering secure onboarding, workflow, document, notification, and dashboard capabilities.

Designed schemas, APIs, and event-driven services with Kafka and RabbitMQ, improving throughput by 38%. Automated CI/CD and infrastructure using Docker, Kubernetes, GitHub Actions, Azure DevOps, Terraform, AWS, and Azure, reducing deployment time from two hours to under 25 minutes. Integrated OpenAI, Anthropic, LangChain, LlamaIndex, RAG, NLP, and ML automation; strengthened observability and security; and mentored engineers.

Developed FinTech services with Java, Spring Boot, Python, FastAPI, React, TypeScript, PostgreSQL, Redis, and microservices, improving reconciliation efficiency by 37%. Delivered secure onboarding, payment, reporting, and audit workflows using Kafka, RabbitMQ, Docker, Kubernetes, and AWS.

Integrated core banking, payment, vendor, and internal systems through REST and event-driven APIs, increasing data synchronization reliability by 41%. Created dashboards and improved CI/CD and observability, reducing investigation time and deployment defects. Added AI capabilities for document analysis, fraud detection, anomaly detection, credit risk scoring, and AI assistants using OpenAI, LangChain, Python, and scikit-learn.

Developed PropTech features using JavaScript, TypeScript, React, Vue.js, Node.js, Python, Flask, SQL, NoSQL, Redis, REST APIs, and AWS. Delivered onboarding, property search, partner integrations, messaging, and notifications, reducing lead response time by 36%.

Built backend services, APIs, data pipelines, and administrative dashboards, improving data accuracy and reducing UI support issues. Launched recommendation, intelligent search, and lead-prioritization workflows using Python, scikit-learn, NLP, and behavioral data, while collaborating with product, design, sales, and engineering teams.

Developed loyalty and customer-engagement SaaS solutions using JavaScript, HTML, CSS, Java, SQL, MySQL, REST services, and Git. Built onboarding, rewards, campaign, partner-integration, loyalty-transaction, profile, and reward-management modules.

Created web and administrative tools, reporting, retention analytics, and campaign workflows using JavaScript, AJAX, SQL, and Python. Built segmentation and recommendation workflows with SQL, Python, rule-based classification, and purchase data, collaborating with product, marketing, operations, and engineering teams.

Completed coursework in software engineering, algorithms, databases, and system design. Applied computer science fundamentals to practical application development and system design projects.