Lokesh Tyagi

• Led a team of 3 developers to deliver AI-driven product features, boosting client retention by 70%
• Designed and deployed scalable backend architectures integrating LangChain and LLM pipelines for intelligent automation
• Developed high-performance, production-ready APIs using Node.js, embedding dynamic workflows with real-time AI inference
• Implemented automated monitoring systems for performance tracking, alerts, and diagnostics across distributed services
• Worked cross-functionally with product, QA, and UX teams to align business goals with technical solutions

• • Migrated legacy search infrastructure to Elasticsearch, enhancing data retrieval efficiency by over 40%
  • Integrated AWS Cognito for user authentication and secure credential management, reducing security vulnerabilities
  • Implemented cached DB connection strategies, achieving a 70% reduction in API response times
  • Upgraded the backend from Java 11 to Java 17, improving system resilience, security, and future-proofing AI integrations
  • Reduced technical debt by 40% through rigorous refactoring, best practices, and codebase standardization

• Contributed to two AI projects as part of the data science team.
• Completed hands-on front-end development training, mastering React JSs
• Developed three interactive web applications, showcasing front-end and back-end integration skills.