Delhi, India
Shivam is an AI-focused software developer with hands-on experience in building intelligent, scalable systems. Specializing in Large Language Models (Claude, OpenAI 4.0) and machine learning frameworks like TensorFlow and Power BI, he develops AI-driven solutions that turn complex data into actionable insights. With expertise in cloud technologies (Microsoft Azure, AWS Lambda), Docker, and Kubernetes, Shivam designs and deploys cloud-native applications that are highly scalable and efficient. He also excels in Python, Django, Flask, React, and Angular, enabling him to create full-stack solutions that deliver seamless user experiences. Shivam is experienced in Agile methodologies and tools like Git, Jupyter, and SonarQube, ensuring rapid delivery of high-quality solutions. His technical expertise, combined with a passion for AI innovation, makes him well-equipped to drive next-generation software development and contribute to high-impact projects. MOTO : "Learn the power of ignorance while you work on making the world a better place to be." Thus, plan and execute
As a Cloud-Native Full Stack Engineer within the Data & AI ecosystem, I engineer intelligent, scalable, and cloud-first applications that solve complex business challenges at the intersection of software development, DevOps, and artificial intelligence. I specialize in building full stack solutions using Angular, React, Python, Django, Flask, and Java (Quarkus) — developing seamless user interfaces paired with secure, high-performance microservices. My expertise extends across Azure and AWS, where I deploy containerized and serverless applications using Docker, Kubernetes, AWS Lambda, and Azure Web Apps. In the AI and analytics space, I work with advanced Large Language Models (LLMs) such as OpenAI and Claude, and machine learning frameworks like TensorFlow, to design data-driven features, automation flows, and intelligent decision systems. I also build interactive analytics dashboards using Power BI, turning raw data into actionable insights. I integrate modern DevOps practices using GitHub Actions, CI/CD pipelines, and SonarQube to ensure code quality, test automation, and reliable delivery pipelines across environments. Tools like Git, JIRA, and Jupyter enable smooth collaboration in Agile teams, where I actively contribute to sprint planning, cost estimation, demos, and continuous improvement cycles. Key focus areas include: Cloud-native full stack development Intelligent automation and applied AI Scalable architecture design (microservices & serverless) End-to-end DevOps & CI/CD delivery Agile collaboration and stakeholder engagement By blending strong engineering fundamentals with a passion for innovation, I aim to deliver robust, future-ready solutions that align with both user needs and business strategy.
Developed comprehensive reports for investment analytics, integrating data from Monday.com into Power BI desktop, collaborating through Power BI Services, ensuring the seamless sharing of real-time reports. By leveraging this collaborative platform, we were able to collectively analyze data, identify trends, and make informed investment recommendations. Delivered responsive static websites tailored to client specifications.