Sri Rahul

Contributed to a GenAI-powered Conversation Intelligence platform processing 15K+ calls/day. Worked on audio/transcript pipelines, STT, LLM/RAG-based solutions, NLP analysis, and Speech Emotion Recognition using dimensional emotion analysis. Worked on PII redaction, enterprise IAM supporting 50K+ users, REST APIs, and DBT data pipelines. Also worked on agentic AI analytics and policy-based chatbots for enterprise use cases.

Worked on a low-code backend platform adopted across 15+ applications, enabling automated REST API generation from relational database schemas. Worked on database relationship modeling, dynamic JOIN/query generation, filtering, pagination, search, and query optimization. Contributed to automation that reduced CRUD API development time from 2 days to 30 minutes. Worked on scalable backend workflows and relational data retrieval.

Worked on an ML-based computer vision Poka-Yoke solution for reservoir assembly. Developed an image-based inspection approach to detect incorrectly positioned or misaligned pumps. Worked on image preprocessing, defect detection, and model evaluation to distinguish correct and defective assemblies, supporting automated quality inspection and rejection of defective components. Applied ML to improve manufacturing quality and reduce manual inspection.