Anuja Wavdhane

AI Engineering Intern at Propvia

Deployed agent-based automation with LangChain, Cursor AI, and OpenAI, streamlining 100+ property operations and cutting turnaround time by 35%. Implemented a retrieval-augmented generation (RAG) pipeline using FAISS, leading to a 15% improvement in decision accuracy across automated processes and impacting 30+ property operations. Managed containerized microservices in Python and Node.js, orchestrated deployments with Kubernetes, reducing manual operations by 60% and accelerating feature deployment cycles.

AI Software Engineer at Infosys

Developed backend services using Spring Boot and SQL to support GenAI tools and ML pipelines, enabling real-time data flow and interactive dashboards for 200+ enterprise users. Architected scalable backend components with asynchronous processing to serve AI inference endpoints, cutting API latency by 35% while ensuring 99.9% uptime. Collaborated with stakeholders, UI, and data teams to deliver 150+ AI-driven feature releases via Agile sprints, boosting user satisfaction by 40% and cutting post-release defects by 25%.

System Engineer Trainee at Infosys

Built a real-time Fault Management System in Java and MySQL, cutting detection time by 40% and increasing reliability. Conducted root cause analysis supported by log pattern recognition, improving proactive monitoring and system stability by 25%. Streamlined issue resolution, cut effort by 30% and enhanced system performance during intensive training in a fast-paced setting.

Web Development Intern at Zensar Technologies

Created responsive prototypes with HTML and CSS, reducing development time and enhancing web skills across 5+ projects. Applied OOP principles to modularize front-end logic, facilitating future integration with AI-based interaction tracking systems. Integrated complex database queries during training, improving data retrieval efficiency by 40% and project delivery by 20%.

AI Engineering Intern at Propvia

Deployed agent-based automation with LangChain, Cursor AI, and OpenAI, streamlining 100+ property operations and reducing turnaround time by 35%. Implemented a retrieval-augmented generation (RAG) pipeline using FAISS, improving decision accuracy across automated processes by 15% and impacting 30+ property operations. Managed containerized microservices in Python and Node.js, orchestrated deployments with Kubernetes, and reduced manual operations by 60% to accelerate feature delivery.

AI Software Engineer at Infosys

Developed backend services using Spring Boot and SQL to support GenAI tools and ML pipelines, enabling real-time data flow and interactive dashboards for 200+ enterprise users. Architected scalable backend components with asynchronous processing to serve AI inference endpoints, reducing API latency by 35% while maintaining 99.9% uptime. Collaborated with stakeholders, UI, and data teams to deliver 150+ AI-driven features via Agile sprints, boosting user satisfaction and cutting post-release defects.

System Engineer Trainee at Infosys

Built a real-time Fault Management System in Java and MySQL, reducing detection time by 40% and increasing overall reliability. Conducted root cause analysis supported by log pattern recognition, improving proactive monitoring and system stability by 25%. Streamlined issue resolution, reducing effort by 30% and enhancing system performance during intensive training.