I am a Machine Learning Engineer with a passion for developing and deploying advanced machine learning models. With a year of experience, I specialize in MLOps pipelines and real-time applications. I thrive on delivering innovative AI solutions that enhance operational efficiency and improve decision-making processes.…

Naveen Kotyal

I am a Machine Learning Engineer with a passion for developing and deploying advanced machine learning models. With a year of experience, I specialize in MLOps pipelines and real-time applications. I thrive on delivering innovative AI solutions that enhance operational efficiency and improve decision-making processes.…

Available to hire

I am a Machine Learning Engineer with a passion for developing and deploying advanced machine learning models. With a year of experience, I specialize in MLOps pipelines and real-time applications. I thrive on delivering innovative AI solutions that enhance operational efficiency and improve decision-making processes.

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Skills

Experience Level

Python
Expert
SQL
Expert
Docker
Expert
AWS
Expert
Keras
Expert
TensorFlow
Expert

Language

English
Advanced
Hindi
Advanced
Kannada
Advanced

Work Experience

Machine Learning Engineer at E3 Electric AI
June 1, 2025 - Present
Built and deployed ML models for EV telemetry analytics, reducing fault detection response time by 35%. Containerized 3+ ML applications using Docker, deployed on AWS EC2 cutting deployment time by 50%. Developed FastAPI endpoints serving real-time predictions with less than 200ms average response time. Implemented MLflow experiment tracking across 10+ model versions, improving team reproducibility.

Education

Bachelor of Engineering (B.E.) at Visvesvaraya Technological University
December 1, 2020 - June 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet
    paper ResumeCraft AI– AI-Powered Resume Analysis

    • Delivered a full-stack AI career assistant automating resume scoring, job matching, skill-gap detection, and cover letter
    generation via LLM pipelines.
    • Powered by LangChain and Qwen2.5-7B, analyzing resumes against job roles and generating personalized career
    guidance with structured prompting.
    • Built a FastAPI backend with JWT authentication and Redis caching, reducing repeated AI request latency by
    40%.
    • Deployed on AWS EC2 with a Streamlit frontend, enabling real-time resume insights with end-to-end response time
    under 3 seconds.

    paper Network Security (Phishing Detection)

    • Built an end-to-end MLOps pipeline detecting phishing URLs using 30+ engineered features with 95%+ classification
    accuracy.
    • Designed 5 modular pipeline stages — ingestion, schema validation, drift detection, KNNImputer preprocessing, and
    Scikit-learn model training.
    • Tracked 10+ model experiments using MLflow on DagsHub, enabling versioned model registry and full run
    reproducibility.
    • Served training and prediction via FastAPI, with model artifacts auto-pushed to AWS S3, cutting manual deployment
    effort by 60%.