Available to hire
Hi, I’m Hyndavi. I’m a software engineer specializing in AI/ML and full-stack development, with hands-on experience delivering production-ready LLM applications, RAG systems, and intelligent agents. I thrive on turning complex problems into scalable, reliable solutions that streamline workflows and empower smarter decision-making.
I enjoy collaborating with cross-functional teams, applying cloud-native architectures on AWS, GCP, and Azure, and continuously learning new tools to stay ahead in AI and software engineering.
Skills
Experience Level
Expert
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Intermediate
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Work Experience
Software Engineer at Bank of America
July 1, 2024 - PresentDesigned and deployed AI-driven observability tools using Large Language Models to summarize system error logs and incident reports, reducing troubleshooting time by 40%. Developed and fine-tuned Python-based anomaly detection models with scikit-learn and PyTorch to improve real-time fraud detection accuracy. Applied NLP with spaCy and Hugging Face Transformers to classify and cluster incident logs by root cause and severity, accelerating issue triage. Built and integrated Spring Boot microservices with React.js frontends and AWS Lambda to enable elastic scalability and low-latency performance. Containerized and deployed applications using Docker and Kubernetes, streamlining CI/CD pipelines with Jenkins and AWS CodePipeline to cut deployment cycles by 20%.
Software Developer at State Bank of India
September 1, 2020 - June 1, 2022Designed and developed enterprise-level applications using Angular and Spring Boot, enabling scalable and efficient collaboration across project teams. Implemented secure RESTful APIs with Spring Security, OAuth 2.0, and JWT for role-based access control. Established MySQL database connections with JDBC from the Java Spring Data layer and built RESTful web services, integrating them with Angular for frontend consumption. Created CI/CD automation scripts using Jenkins and Git to streamline build, test, and version-controlled deployment pipelines, reducing manual intervention and release turnaround time. Achieved 90%+ test coverage through JUnit and E2E tests, increasing production release confidence.
Education
Master of Science in Business Analytics at The University of Texas at Dallas
January 11, 2030 - January 7, 2026Qualifications
Industry Experience
Financial Services, Software & Internet, Professional Services
Skills
Experience Level
Expert
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Intermediate
Intermediate
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