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Hi there, I'm Navas Sherif I - Machine Learning Engineer at Tiger Analytics 🏢

Data Engineer | Machine Learning Engineer | Bengaluru, India


💼 Current Role

Machine Learning Engineer @ Tiger Analytics

  • Building & optimizing centralized ML infrastructure platforms
  • Data pipeline design, cloud cost monitoring, data quality, system reliability
  • Developing Agentic AI Platform for autonomous agent workflows
  • Cross-functional collaboration for ML experimentation, deployment, and production monitoring

🏢 Previous Role: IQVIA (Aug 2021 – Oct 2024)

  • Modernized healthcare analytics by migrating legacy systems to Big Data ecosystem
  • Achieved 40% reduction in operations costs & 25% boost in data accuracy
  • Led Spark workflows (Scala, SQL, PySpark), Hive optimization, Airflow DAG management, performance tuning

⚡ About Me

With 4+ years of experience in the healthcare and analytics industry, I specialize in scalable data and ML platform engineering.
I'm passionate about solving complex data problems, enabling robust ML experimentation in production, and advancing AI agentic solutions using the latest tech.


🔧 Key Skills

Python • Spark • SQL • Cloud (Azure, AWS, Databricks) • Airflow • ML & Data Engineering • Agentic AI Platform (LangGraph)

Apache Spark Apache Hadoop Apache Airflow Scala Python Azure SQL MySQL Azure SQL Database GitLab Git GitHub


🏆 Certifications


🚀 Projects & Highlights

  • Agentic AI Platform (Current)
    Building a next-gen autonomous agent orchestration platform using LangGraph, focusing on flexible agent workflows and modern AI automation.

  • LocalRAG Hub
    A private, local RAG pipeline with LangChain, Ollama, and Streamlit—enabling secure, unlimited Q&A over personal docs.

  • ML Observability and Monitoring Platform
    Developed and optimized a centralized monitoring platform for ML models—implementing cost tracking solutions, enhanced data quality, and system reliability for production deployments.

  • Recipe Generation from Food Image
    Deep learning app that converts food photos into full recipes—detects ingredients and generates step-by-step instructions from an image

  • Healthcare Analytics Modernization (IQVIA)
    Migrated a legacy mainframe system to Big Data, engineering Spark-optimized batch pipelines capable of handling large healthcare datasets and reducing operational costs by 40%.


📢 Connect


Always learning, always building. Let's connect for data, ML, and agentic AI collaborations!

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