Lohitha TN

With over 18 years of professional experience, I have deep expertise in Java development, ranging from monolithic applications to modern microservices architectures. My work has primarily focused on enterprise-scale systems across industries like pharmaceuticals, finance, and logistics. I have: Led the design and implementation of Java-based backend systems using Spring Boot, RESTful APIs, and microservices. Developed secure and scalable applications integrated with blockchain, cloud platforms (AWS, GCP, IBM Cloud), and GenAI technologies like OpenAI and Watson Assistant. Built end-to-end solutions involving role-based access control, data transformation, and intelligent query generation. Deployed and managed Java services in containerized environments using Docker and Kubernetes. My Java expertise is complemented by strong front-end skills (React, Angular), data engineering (PostgreSQL, pipelines), and AI/ML integrations, making me a well-rounded full-stack engineer capable of delivering across the stack.

I have strong expertise in building modern, responsive, and scalable front-end applications using React.js, with a focus on enterprise-grade solutions and seamless integration with backend systems and cloud services. Key highlights of my React experience include: Developed intuitive and dynamic UIs for platforms in banking, supply chain, and blockchain domains, using React in combination with Redux, Hooks, and REST APIs. Led front-end development for applications like Lygon, a blockchain-powered bank guarantee platform, ensuring performance, accessibility, and user experience. Integrated React apps with Spring Boot, Node.js, and cloud services (IBM Cloud, AWS) for full-stack functionality. Delivered real-time dashboards and interactive data visualizations that helped clients monitor complex systems and analytics pipelines. Ensured cross-browser compatibility, mobile responsiveness, and reusable component design for long-term maintainability. My React.js development approach is user-focused and performance-driven, making me well-suited for building enterprise dashboards, admin panels, internal tools, and customer-facing web apps.

I have solid experience building enterprise-grade front-end applications using Angular, focusing on maintainability, performance, and seamless integration with backend services and cloud platforms. Key highlights of my Angular expertise: Developed responsive, modular UIs for platforms like Minehub, a blockchain-based mining operations system, using Angular with RESTful APIs and LoopBack/Node.js backends. Built feature-rich interfaces with Angular CLI, RxJS, Forms, and Material Design, enhancing user experience and accessibility. Collaborated closely with backend teams (Java, Spring Boot, Python) to implement end-to-end features with clean service and component architecture. Applied state management best practices and ensured cross-browser and mobile responsiveness for complex enterprise workflows. Focused on reusable component libraries and clean code to improve maintainability across large teams and long-term projects. My Angular experience blends perfectly with full-stack and data engineering work, making me effective in fast-paced environments that require seamless front-to-back integration and UI/UX precision.

I have strong hands-on experience with Python, particularly in building secure backend services, developing AI-integrated solutions, and engineering robust data pipelines for enterprise applications. Key highlights of my Python expertise include: Developed a Single Sign-On (SSO) authentication service using Flask and IBM App ID, enabling secure access management across enterprise applications. Integrated Python services with AI platforms like IBM Watson Assistant, OpenAI, and LangChain, powering natural language processing, SQL generation, and predictive insights. Used Python for data engineering tasks, including ETL pipeline development, data transformation, and integrating structured/unstructured data sources. Applied Python in cloud-native environments (AWS, GCP, IBM Cloud), and managed deployments using Docker and Kubernetes. Built interactive chat assistants and backend automation tools, combining Python with NLP and machine learning frameworks. My Python background complements my full-stack and cloud engineering skills, making me effective in projects that blend backend development, AI/ML, and secure enterprise architecture.

I have extensive experience using Node.js to build scalable, high-performance backend systems, particularly in the areas of data engineering, real-time data processing, and cloud-native applications. Key highlights of my Node.js expertise include: Designed and implemented data pipelines using Node.js to process and transform large volumes of data from sources like RFID and handheld devices, integrating with AWS Firehose, S3, and PostgreSQL. Built REST APIs and backend services for supply chain and analytics platforms, ensuring speed, scalability, and maintainability. Used Node.js in conjunction with Loopback and Express for rapid backend development and API orchestration. Integrated Node.js services into blockchain-based platforms (e.g., Minehub) to ensure secure and verifiable data sharing. Played a lead role in cloud migrations and architecture optimization on AWS and GCP, using Node.js services as core processing components. My Node.js work bridges traditional full-stack development and modern cloud/data engineering solutions, often working hand-in-hand with technologies like Python, React, Docker, and Kubernetes.