🎓 B.Tech CSE student at Lovely Professional University
💡 Interested in AI/ML, Deep Learning, NLP, Computer Vision, GenAI & Agentic AI
🧠 I enjoy building real-world ML solutions and improving them end-to-end (data → training → evaluation → deployment).
- 🤖 Generative AI + Agentic AI workflows
- 📌 LLM-based applications (RAG, agents, automation)
- 🧿 Computer Vision (Faster R-CNN, OpenCV, detection pipelines)
- ⚙️ Deployment + DevOps basics (Docker, GitHub Actions, CI/CD)
- Python, Java, C++
- SQL
- Scikit-learn, Pandas, NumPy
- TensorFlow, Keras, PyTorch
- NLP: Tokenization, Stopwords, Stemming, Logistic Regression
- Computer Vision: OpenCV, CNN, Faster R-CNN
- Git, GitHub
- Docker
- CI/CD basics (GitHub Actions, Jenkins)
- Built an object detection pipeline using Faster R-CNN
- Trained on labeled dataset and evaluated detection performance
- Applied to safety/industry use-cases
- Designed a vision-based system to detect and classify road cracks
- Focused on real-world robustness for road maintenance applications
- Preprocessed tweets (stopwords removal + stemming)
- Trained ML models for sentiment classification
- Used evaluation metrics for performance comparison
- Cleaned and analyzed customer purchasing data
- Applied clustering techniques to identify user groups
- Generated insights for targeted business strategies
- 🏢 GeeksforGeeks (Summer Trainee | 2025)
Worked on Agentic AI, Generative AI, ML workflows, Transformers & fine-tuning concepts
- Retrieval Augmented Generation (RAG)
- Natural Language Processing Specialisation (DeepLearning.AI)
- IBM DevOps and Software Engineering Professional Certificate
- Machine Learning Specialization (DeepLearning.AI)
- Natural Language Processing Specialisation (DeepLearning.AI)
📩 Email: Love.kumar13.82k@gmail.com
🌐 LinkedIn: Love Kumar
⭐ If you like my work, consider giving a star to my repositories!