Yash Bhatt

Architected production RAG pipelines and agentic systems using LangGraph and CrewAI. Established MLOps with MLflow, CI/CD, and monitoring, and led responsible AI practices including red-teaming.

Developed a high-performance calculation engine with predictive modeling for telecom data. Built scalable APIs and cloud-native deployments on AWS, and led backend architecture and a development team.

Engineered a machine-learning library for duplicate-record detection achieving ~92% accuracy, shipped as a production API integrated with Salesforce. Built pipelines for text similarity and embeddings, and worked directly with US-based clients.

Developed high-performance APIs and optimized backend systems for large-scale data workflows. Performed data analysis, feature engineering, and pipeline design for analytics and predictive systems.

Grade: 9.4

Post Graduate Diploma in Data Science with a GPA of 9.4, covering ML pipelines, PySpark, time-series, and Airflow.

Post Graduate Diploma in Data Science with a published research paper in Neural Networks, covering LLMs, NLP, BERT, and LSTM.

Grade: 9.12

Bachelor of Technology in Computer Engineering with a GPA of 9.12.