Bubna Lead AI Solutions Engineer
1 Review

With 11 years of teaching experience, including 5 years part-time, I follow a structured and industry-focused teaching methodology that combines strong conceptual foundations with hands-on implementation. I simplify complex AI and Cloud concepts using real-world examples and guided coding sessions. My approach emphasizes project-based learning, where students build practical systems such as AI applications and cloud deployments. I focus on problem-solving, architecture thinking, and production-ready development practices. Through continuous mentorship and real-world case studies, I help learners gain technical confidence, practical skills, and career readiness for AI and technology roles.

Subjects

  • Python flask API Beginner-Expert

  • Docker and GIT Beginner-Expert

  • Generative AI Beginner-Expert

  • GCP Vertex AI Beginner-Expert

  • AI & Machine Learning Beginner-Expert

  • AI agents Beginner-Expert

  • GenAI Agent creation Beginner-Expert

  • Agentic AI Beginner-Expert

  • Agentic coding Beginner-Expert

  • MCP (Model Context Protocol) with AI Agent Beginner-Expert

Experience

  • Lead AI Solutions Engineer (Aug, 2025–Present) at Trignova Labs, Bangalore
    AI Solutionist with 11 years of experience across Banking, Trading, Healthcare, and Fitness domains. Currently building production-ready Generative AI systems at Trignova Labs, specializing in LLM applications, RAG systems, AI agents, FastAPI backend services, Dockerized deployments, and Google Cloud (Vertex AI, Cloud Run). Strong expertise in designing scalable and secure end-to-end AI architectures.
  • Senior Software Engineer (Jul, 2021–Jan, 2023) at Recruit Express, Singapore
    Project Name: OCBC Business
    App Store URL: https://apps.apple.com/sg/app/ocbc-business/id1102085298
    *Developed the Face recognition for the OCBC Bank cooperative banking app revamp.
    *Achieved a remarkable 4.5-star rating from over 1000 users on the App Store following the application revamp.
    *Successfully completed the module, now available for download on the App Store.
  • Artificial Intelligence Engineer (Apr, 2017–May, 2021) at Ariston, Singapore
    Implemented analytics-based user engagement features using behavioral data and usage metrics to improve personalization and user retention.

    Explored and integrated basic ML/NLP techniques such as text processing, keyword-based classification, and rule-based recommendation logic for intelligent user interactions.

    Integrated RESTful APIs and cloud-based backend services (Firebase) to enable real-time data processing and scalable mobile architectures.

    Managed full SDLC from requirement analysis and architecture design to development, testing, and production deployment using Agile methodologies.
  • iOS Developer (Sep, 2015–Mar, 2017) at InfoDrive Solutions, Singapore
  • Software Engineer (Jan, 2012–Dec, 2014) at Experion Technologies, India

Education

  • B.Tech (Jul, 2006–Sep, 2010) from Cochin university of science and technology, CUSAT

Fee details

    ₹500–1,000/hour (US$5.26–10.53/hour)

Courses offered

  • 🚀 AI & Agentic Systems Engineering 
Tech Stack: Python, Flask, Docker, MCP

    • ₹20000
    • Duration: 3 Months
    • Delivery mode: Online
    • Group size: 6 - 10
    • Instruction language: English
    • Certificate provided: Yes
    📍 Phase 1: Foundations of Modern AI
    Focus: Understanding how AI works
    * Evolution from ML → DL → Generative AI
    * How LLMs work (tokens, context, temperature)
    * Introduction to modern AI models (SLMs vs large models)

    📍 Phase 2: Prompt Engineering
    Focus: Controlling AI output
    * Zero-shot, One-shot, Few-shot prompting
    * Role-based and structured prompting
    * Prompt chaining techniques
    * Writing clear and effective prompts
    * Improving accuracy and reducing errors

    📍 Phase 3: Context Mastery (RAG & MCP)
    Focus: Connecting AI with real data
    * RAG (Retrieval Augmented Generation)
    * Vector databases (Pinecone / Chroma)
    * MCP (Model Context Protocol)
    * Build MCP servers and clients
    * Context-aware AI applications

    📍 Phase 4: Agentic AI & Workflows
    Focus: AI that can think and act
    * Single-agent systems (ReAct framework)
    * Multi-agent systems
    * Tool usage (APIs, search, automation)
    * Memory for intelligent behavior

    📍 Phase 5: Backend Engineering with Flask
    Focus: Building AI APIs
    * Build APIs using Flask
    * Chatbot and agent endpoints
    * Async workflows
    * AI security basics

    📍 Phase 6: Deployment
    Focus: Production-ready AI
    * Containerization using Docker
    * Deployment setup
    * Monitoring and evaluation
    * Cost and performance optimization

    🛠 Capstone Project
    * Flask-based backend
    * RAG for knowledge access
    * AI agents (Researcher + Writer)
    * MCP-based communication
    * Docker deployment

    🎓 Learning Outcomes
    * Build AI chatbots and agents
    * Master Prompt Engineering
    * Work with RAG and MCP
    * Develop APIs using Flask
    * Deploy AI apps using Docker
    * Gain real-world experience

1 Review
5 out of 5

User Photo April 18, 2026
Payment verified US$ 10.33 (1000 INR)

Clear and practical AI Agent training experience

I took AI agent development sessions with this tutor. She explained the fundamentals and overall workflow clearly in a simple and easy-to-understand way. She also guided me step by step during the implementation, which made the learning process smooth and practical.

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