Shaik Mohammed Naveed

Python Backend Developer with hands-on experience deploying LLM agents via Model Context Protocol (MCP) and building enterprise-grade APIs on Google Cloud Platform. Specialized in FastAPI-based system design, async data pipelines, and multi-model AI benchmarking, with production deployments.

Python Developer (LLM & Backend) at Turing Enterprise Inc. (2024-10 – Present)

• Architected the backend for a real-time enterprise collaboration platform, designing scalable endpoints for multi-tenant chat, channel management, and event scheduling.
• Developed standardized AI agent environments (Gyms) for 5+ major ecosystems, enabling agents to autonomously execute complex workflows across these platforms.
• Implemented Model Context Protocol (MCP) over JSON-RPC, enabling AI agents to securely execute external tools and database queries within strict user scopes.
• Reduced API latency and eliminated timeouts by migrating synchronous blocking operations to asynchronous Celery workers backed by Redis.
• Built a parallel multi-model AI agent benchmarking framework that runs LLMs (GPT, Claude, Gemini) through real tasks in isolated database environments across enterprise Gym ecosystems, executes their tool calls live, and validates outcomes via automated SQL-based verifiers, enabling head-to-head comparison of task success rates and latency across providers at scale.
• Built automated validation scripts for over 1,500+ Colab notebooks weekly, reducing manual QA effort about 90%, bringing down client rework rate from 65% to 15%.
• Developed a GitHub automation script to categorize pull requests and generate velocity metrics for engineering leadership and left the script running with cronjob.
• Leveraged Plotly to visualize BigQuery datasets, creating interactive dashboards for performance reviews.

Cloud Operations Intern at Zscaler Inc. (2024-02 – 2024-08)

• Automated cloud infrastructure inventory retrieval using Python scripts, eliminating manual spreadsheet tracking errors.
• Engineered a resource monitoring dashboard to track cloud usage across accounts, implementing alert thresholds for anomaly detection and cost optimization.

B.E. in Computer Science – Ballari Institute of Technology and Management (2020 – 2024)