Hi There 👋 I am a seasoned Machine Learning Scientist with over 10 years of industry experience across various domain including marketing, fintech, and e-commerce. With expertise in advanced machine learning as an individual contributor and experience leading cross-functional teams, a strong alignment with designing innovative, passion for generative AI specifically focusing on RAGs, Agentic AI, AIOps and real-time data processing solutions is evident. The extensive background in predictive modeling, anomaly detection, and handling large-scale data projects showcases readiness to tackle the platform's evolving challenges and contribute to enhancing IT systems. Actively looking for a job change in DS,ML,AI as an immediate joiner. In my current role, I am working as a Lead Data Scientist with TIDE (Fintech company based out of UK) in the Marketing Tech department. Below are my responsibilities and achievement. Led the marketing data science efforts, overseeing the development and implementation of advanced machine learning algorithms that resulted in a ~26% increase in predictive accuracy for key marketing problems. • Delivered a ~20% increase in conversion rates and £840k revenue impact through data-driven solutions, including Customer Lifetime Value, Churn Prediction, Next Best Action, Product Recommendation, Customer Feedback Analysis and Marketing Mix Modelling for optimising marketing budgets, A/B testing for tracking campaign performance by following agile development framework. • Created and optimised content for ads and marketing by using Foundation LLM models, Model Fine-tuning, RAG, Red-Teaming methods to streamline content creation and driving better engagement metrics. Helped to improve feedback from customers through RLHF. • Leading, mentoring and managing a team of junior data scientists, ML engineers helping them develop core machine learning skills, improve productivity, and deliver high-quality solutions to business problems and in return I developed leadership skills. Recent work in Generative AI Tools & Frameworks: Langchain Llama index Chroma DB Pinecone FAISS Weaviate Crew AI GROQ Phi data Unsloth AI Pydantic AI DeepEval Meta Llama Anthropic Claude Open AI GPT Databricks models Huggingface Other Open Source foundation models Tensorflow Pytorch Keras SSD GANs VAEs BERT Transformers RNN CNN LSTM Build through Foundation LLM models Model Fine-Tuning (PEFT - LoRA QLoRA) RAG Vector Database Search Agentic AI RLHF Prompt Tuning Red Teaming (Hallucinations-toxicity) Quantization Guardrails implementation Evaluation metrics (BLEU, ROGUE)