About me

I'm a Machine Learning Engineer in the making, with a strong focus on building scalable AI systems that solve real-world problems. I work across machine learning, deep learning, and AI-driven applications to turn complex challenges into practical solutions.

I have developed projects ranging from high-accuracy deep learning models to AI-powered automation systems that improve efficiency and decision-making. I enjoy working on end-to-end solutions—from data processing to model deployment—ensuring that every system I build is both impactful and production-ready.

What i'm doing

  • machine learning icon

    Machine Learning Solutions

    Building intelligent models to solve real-world problems using supervised and unsupervised learning techniques.

  • deep learning icon

    Deep Learning & Computer Vision

    Developing high-accuracy deep learning models for image classification, detection, and real-time AI applications.

  • ai automation icon

    AI Automation Systems

    Creating AI-powered platforms that automate workflows, improve efficiency, and enable smart decision-making.

  • data analytics icon

    Data Analytics & Visualization

    Transforming complex data into meaningful insights using dashboards and visualization tools like Power BI.

Daniel lewis
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Resume

Education

  1. S.A Engineering College

    2022 — Present

    B.E in Computer Science (Artificial Intelligence & Machine Learning) with a CGPA of 8.0/10. Focused on Machine Learning, Deep Learning, Data Structures, and AI system design.

  2. Certifications & Continuous Learning

    2023 — Present

    Completed Machine Learning Specialization by DeepLearning.AI, Advanced R Programming (IIT Kanpur), and Deep Learning for NLP (IIT Kharagpur), strengthening both theoretical and practical AI knowledge.

Experience

  1. AI Intern – Infosys Springboard

    Aug 2025 — Oct 2025

    Built a full-stack AI platform for Azure capacity planning achieving 84.7% predictive accuracy and reducing operational costs. Conducted AI workshops and contributed to collaborative learning initiatives.

  2. IEEE-CS Society Member

    Mar 2023 — Present

    Led and delivered hands-on workshops on Generative AI and LLMs, teaching 10+ practical exercises. Received a 4.8/5 rating for improving understanding of AI concepts among students.

My skills

  • Machine Learning & Deep Learning
    90%
  • TensorFlow, PyTorch
    80%
  • Computer Vision & NLP
    85%
  • Snow Flake & Spark
    60%
  • Data Analytics-Power BI
    95%

Achievements
&
Certifications

Contact

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