I'm a Senior AI/ML Engineer at Nielsen, specializing in Data Science and Machine Learning across multiple domains. I build practical, production-ready solutions that drive real-world impact, play with data and try telling interesting stories through the data, research and learn about new technologies and develop new techniques to solve probles
Classical Machine Learning
- Time series prediction and forecasting
- Clustering and Basic Statistics modelling like XGBoosting, LightGBM, KNN clustering, Random Forest and all
- Time series and Prophet Modelling
Computer Vision
- Visual Cryptography implementation
- Hash matching for video frame identification and analysis
- Model fine-tuning: YOLO-v8, ResNet-50, ResNet-200
Natural Language Processing & LLMs
- NLP applications and solutions
- Large Language Model (LLM) implementations
- Retrieval-Augmented Generation (RAG) systems
Emerging AI Technologies
- Agentic AI development and deployment
- GenAI integration
- Model fine-tuning: Gemma, MiniLM, GPT
- Advanced prompt engineering and LLM orchestration
- KnowledgeGraph
Tools
- FAISS, vectorDB
- graph database
- Tableau
- Cloud: AWS, GCP
- Senior AI/ML Engineer at Nielsen, driving innovation in data science and machine learning
- Research-focused professional actively contributing to company research initiatives
- Passionate about staying at the forefront of AI/ML advancements
- Experienced in deploying production-grade ML solutions
🌱 Open to collaborating on research projects, publications, and innovative ML solutions!