Anil Gaikwad Machine Learning, Deep Learning & Generative AI
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I am an AI & Machine Learning Engineer with over 6+ years of hands-on experience building real-world solutions using Machine Learning, Deep Learning, Generative AI, LLMs, and Computer Vision. I specialize in helping students understand complex AI concepts in a simple and practical way through real examples, projects, and step-by-step guidance.

I teach coding and AI from the fundamentals all the way to advanced, industry-level applications. Whether you are a beginner starting your Python or Machine Learning journey, a college student working on assignments or projects, or a professional wanting to upskill in LLMs, RAG, LangChain, or Deep Learning — I can help you learn efficiently and confidently.

My teaching style focuses on clarity, patience, and practical application. I believe students learn best when concepts are explained with real-world use cases, hands-on coding, and clear visual understanding. I make sure every learner gets personalised support and understands “why” things work, not just “how”.

I can guide you in Python, Machine Learning, Deep Learning, NLP, Computer Vision, AI Agents, Transformer models, LangChain, LangGraph, and end-to-end project development. I also help with assignments, academic projects, interview preparation, and building strong AI portfolios.

If you want to learn AI/ML the right way, build projects that stand out, or simply understand the latest LLM and GenAI technologies confidently — I am here to help you succeed.

Subjects

  • Python 3 Beginner-Expert

  • Generative AI Beginner-Intermediate

  • Large Language Models LLMs Beginner-Expert

  • Agentic AI Beginner-Intermediate

  • Machine and Deep Learning project Beginner-Expert

Experience

  • Senior Software Engineer (Dec, 2020–Aug, 2025) at Nividous Software
    Guided junior engineers and freshers on Machine Learning, Deep Learning, and LLM-based development.
    Conducted internal knowledge-sharing sessions on LangChain, RAG pipelines, GenAI workflows, and model deployment.
    Trained team members on Python, PyTorch, TensorFlow, and end-to-end ML project development.
    Helped colleagues understand LLMs, embeddings, vector DBs, tool usage, and agentic AI systems.
    Mentored interns in building computer vision and NLP-based mini-projects.
  • AI/ML Trainee – Computer Vision & Edge AI (May, 2018–Dec, 2019) at Centurysoft pvt ltd pune
    Built image and video analytics solutions using deep learning and computer vision.

    Developed a human passer-by counter using ResNet + SqueezeDet and deployed on FPGA hardware.

    Optimized models for low-power, high-efficiency edge AI systems.

    Built firmware for the trained AI model and deployed it on the Lattice ECP5 FPGA board.

    Automated Shopify data migration using Python, JSON, and CSV.

Education

  • Bachelor Of Engineering (Aug, 2012–May, 2016) from dy patil college of engineering,Kolhapur–scored 83

Fee details

    ₹700–1,500/hour (US$7.37–15.79/hour)

    Fees may vary based on:
    Course level (Beginner / Intermediate / Advanced)
    Type of subject (Python basics vs. LLM/RAG advanced topics)
    Project guidance or assignment support
    One-to-one training vs. group session
    Duration of the course

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