About me

I'm an AI/ML engineer who builds systems that make it to production, not just the notebook. My work spans classical ML, deep learning, and GenAI/LLM pipelines, applied to real deployment constraints like accuracy, latency, and reliability.

Recent work includes an Azure-based demand forecasting system (84.7% accuracy, 12% faster deployments), LLM pipeline testing that cut error recurrence by 30%, and a RAG-based AI mail manager that cut response time by 70%. I'm currently open to full-time ML/AI Engineer roles as well as freelance and automation projects.

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.

Profile

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. Generative AI Research Intern – TekWissen

    Dec 2025 — May 2025

    Building and evaluating GenAI/LLM workflows, improving output consistency by 15%. Ran functional and regression testing on LLM systems, resolving 15+ critical bugs and cutting error recurrence by 30% in later releases.

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.

My skills

  • Machine Learning & Deep Learning
    90%
  • TensorFlow, PyTorch
    80%
  • Computer Vision & NLP
    85%
  • GenAI, LangChain & RAG
    85%
  • Data Analytics-Power BI
    95%
  • Cloud & MLOps (Azure, Docker, K8s)
    80%

Projects

Achievements
&
Certifications

Contact

Contact Form

Usually responds within 24 hours.