Shashank Tripathi

Software Engineer with expertise in Generative AI, intelligent automation, and cloud-native application development. Experienced in building production-ready AI solutions using Python, LLMs, RAG, LangChain, and LangGraph, complemented by hands-on experience in AWS, Docker, Jenkins, GitHub Actions, and CI/CD. Passionate about building scalable, high-performance software that combines AI innovation with modern cloud and DevOps practices.

Software Engineer at Tata Consultancy Services (2025-06 – Present)

• Engineered AI-driven workflows using Python, LLMs, LangChain, LangGraph, and RAG pipelines to automate ticket analysis, log interpretation, and contextual knowledge retrieval for production operations.
• Developed an AI-powered Issue Resolution Assistant that analyzed production issues, retrieved context-aware solutions from enterprise knowledge bases, and accelerated root cause analysis, significantly reducing manual troubleshooting effort.
• Built and maintained CI/CD pipelines using GitHub Actions, Jenkins, Docker, and AWS to automate application build, testing, deployment, and release workflows.
• Deployed and monitored AI applications on AWS using Docker, optimized deployment pipelines, and improved application reliability through automation, monitoring, and cloud-native DevOps practices.

Graduate Trainee at Tata Consultancy Services (2025-01 – 2025-05)

• Completed enterprise training covering AI/ML, Full Stack Development, AWS Cloud, DevOps, and Software Engineering, followed by implementation in real-world projects.
• Implemented multiple full-stack and AI-powered applications integrating REST APIs, SQL/NoSQL databases, authentication, and cloud deployment.
• Gained hands-on exposure to debugging, testing, version control, and collaborative development practices.

Master of Computer Applications in Computer Applications – Manipal University Jaipur (2025)

Bachelor of Computer Applications in Computer Applications – Allenhouse Business School (2021 – 2024)