Narendra Sinha

Results-driven Data Engineer with 3 years of experience in system optimization, process automation, and critical data quality assurance, ideally positioning for an AI Operations Associate role. Proven ability to serve as a high-precision judgment layer by conducting detailed impact analysis and proactively detecting data errors. Expertise in designing scalable data workflows and translating complex technical requirements into actionable, reliable system improvements (playbooks).

Possesses exceptional written communication and attention to detail required for real-time review of AI-generated actions.

Fullstack Developer

(2024-07)

• Leveraged Agentic AI to successfully deliver complex projects, increasing project efficiency by 150%.
• Established Continuous Integration (CI/CD) pipelines with automated evaluation frameworks (DeepEval) to test agent groundedness and context relevance, blocking merges on performance regression, resulting in a 25% faster debugging cycle.
• Engineered Retrieval-Augmented Generation (RAG) pipelines for dynamic grounding, which mitigated model hallucination, achieving a 40% decrease in factual errors by integrating semantic search over real-time, verifiable data sources.
• Designed and implemented Model Context Protocol (MCP) servers to standardise the connection of AI agents to external APIs and databases, resulting in a 30% reduction in integration time and ensuring reusable integration logic

Data Engineer - Teradata

(2021-09 - 2024-01)

• Quality Assurance & Judgment Layer: Achieved a 10% reduction in data errors through proactive detection and resolution across distributed data systems.
• Process Improvement & Playbook Design: Conducted comprehensive impact analysis to assess changes to data processes and their effects, preempting over 5 major system errors quarterly and guiding robust workflow design.
• Automation & System Efficiency: Streamlined ETL operations by leveraging Teradata utilities and Python scripting, reducing manual effort by 20 hours per week for process automation and task scheduling.
• Cross-Functional Communication: Solved multiple complex problem statements using technologies like AbInitio graph engine and Teradata Vantage while maintaining a performance score of 94%.

Junior Technical Associate - Teradata

(2021 - 2021)

• Automated processes using Microsoft Power Platform, including MS Power Automate, resulting in $5,000 in cost savings and demonstrating practical experience in building and optimizing operational workflows.

B. Tech - Computer Science - Lovely Professional University (2017 - 2021)