Rakesh Kumar Jagdev

About Rakesh Kumar Jagdev

I am a final year BTech student in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning (AI/ML), passionate about building intelligent solutions that solve real-world problems.My core expertise lies in Python, Machine Learning, Deep Learning, Data Science, and Natural Language Processing (NLP). I enjoy working with neural networks, predictive modeling, and data-driven algorithms to uncover insights and drive innovation.I have hands-on experience through academic projects, case studies, and practical implementations involving TensorFlow, Keras, Scikit-Learn, and Pandas, where I applied ML techniques for tasks like data classification, sentiment analysis, and computer vision.As I prepare to begin my professional journey, I am actively seeking AI/ML Engineer, Data Scientist, or Software Engineer (AI-focused) opportunities where I can contribute my technical skills, analytical thinking, and creativity to deliver impactful results.

Experience

1. Machine Learning Intern

   Cognifyz Technologies

   Dec 2025 — Present · Jalandhar, IN

   Data Preparation & CleaningWork on collecting, cleaning, preprocessing, and transforming datasets to make them suitable for machine learning workflows.Perform EDA, handle missing values, normalize features, and prepare structured input data.2. Machine Learning Model DevelopmentImplement supervised and unsupervised algorithms, experiment with model architectures, tune hyperparameters, and evaluate performance using appropriate metrics.3. End-to-End ML Pipeline ExecutionWork on full ML task cycles including data exploration, model selection, training, validation, testing, and documentation.4. Original Project ImplementationComplete task-based ML projects assigned weekly, ensuring originality, clean code, and professional presentation.Submit all work in the required ZIP format through the official submission link.5. Research & Problem-SolvingStudy ML concepts relevant to each task and provide solutions backed by solid reasoning, research, and experimentation.6. Communication & ReportingMaintain professional email communication, prepare clear project summaries, and ensure timely task submissions 3–4 days before deadlines.7. Collaboration & Continuous LearningParticipate in discussions, follow guidelines, improve modelling skills, and stay updated with ML practices to prepare for the second-month performance interview.

Education

• Lovely Professional University

  Bachelor's degree

  2022 — 2026

• Guidance English medium school

  12th

  2019 — 2021