Kushal Jain
Bengaluru
Summary
Software developer with 3 years of experience in AI/ML systems and cloud-native development. Proficient in designing scalable backend services and deploying production-ready solutions on Cloud services. Expertise in automation and optimizing workflows to enhance efficiency.
Overview
3
3
years of professional experience
Work History
Artificial Intelligence Software Developer
Amadeus
Bengaluru
01.2024 - Current
- Deployed production-grade Agentic AI systems on Azure Cloud using Copilot Studio and Azure ML Studio, enabling seamless enterprise integration.
- Built an automated Root Cause Analysis (RCA) engine for QA test failures using Machine Learning, NLP, and Agentic AI, leveraging a hybrid pipeline (XGBoost + BERT) to extract contextual insights from Jenkins campaigns.
- Performed advanced fine-tuning and feature engineering across Playwright and Geb & Spock frameworks, achieving 80–85% classification accuracy and reducing ~96 hours of manual effort per week.
- Architected and delivered an AI-powered internal test management platform replacing ALM Octane, featuring full-stack UI, proprietary database design, and end-to-end test lifecycle capabilities, driving 300%+ efficiency gains in complex QA workflows.
- Led end-to-end migration of a large-scale application from Amadeus infrastructure to Azure Cloud, implementing complete DevOps pipelines to improve scalability, reliability, and deployment efficiency.
- Designed and implemented NFR monitoring and Splunk dashboards for error and exception analytics, enabling shift-left detection through early log intelligence and reducing production analysis time by ~70%.
Software Developer Intern
Amadeus
Bengaluru
02.2023 - 12.2023
- Developed an ML-based cloud usage forecasting solution using historical telemetry to predict resource demand for the SECO application.
- Integrated forecasts with Azure auto-scaling to enable dynamic resource allocation.
- Implemented Prometheus metrics and Grafana dashboards to monitor model health and SECO performance (SECO is a core Amadeus platform supporting large-scale airline and travel service orchestration).
Education
Executive M.tech in Data Science And Artificial Intelligence -
IIT(Indian Institute of Technology), Patna
Patna10.2026
B.Tech in Computer Science With Specialization in AI&ML - Computer Science
SRM Institute of Science And Technology
Delhi NCR04.2023
Skills
- Python, C
- Typescript, Javascript
- Azure cloud, ci/cd pipelines
- Jenkins, Kubernetes, Docker
- Azure Machine learning studio
- Agentic AI, APIs, Copilot studio
- Machine learning, NLP, RAG
- Data Structures
- MongoDB, SQL, VectorDB
- Backend, NodeJS, Elasticsearch, ReactJS
Timeline
Artificial Intelligence Software Developer
Amadeus
01.2024 - Current
Software Developer Intern
Amadeus
02.2023 - 12.2023
Executive M.tech in Data Science And Artificial Intelligence -
IIT(Indian Institute of Technology), Patna
B.Tech in Computer Science With Specialization in AI&ML - Computer Science
SRM Institute of Science And Technology