⚡ Sr. Data Scientist | AI/ML | GenAI | Data Engineering | Cloud | AI Systems I’m a Sr. Data Scientist at EXL with 4.7+ years of experience building AI/ML, data engineering, cloud, and analytics solutions across business domains. Previously, I worked as a Solutions Engineer at Confluent and a Data Engineer at Cognizant, giving me a blend of hands-on engineering, data science, customer-facing solution design, and technical consulting experience. 🚀 What I bring to the table My journey has taken me from building data pipelines and distributed systems to designing production-grade ML/AI solutions, GenAI applications, RAG systems, AI agents, and real-time streaming architectures. I enjoy working at the intersection of technology, business problems, and scalable systems — turning ambiguous problems into practical solutions. 💡 Areas I can help you with: 🔹 AI/ML & Data Science — Machine Learning, Deep Learning, NLP/NLQ, Computer Vision, GenAI, LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases & Evaluation 🔹 GenAI & Agentic AI — LLM application architecture, RAG pipelines, agents, tool calling, MCP, embeddings, vector search, fine/prompt tuning, and production AI systems 🔹 Data Engineering & Big Data — Python, SQL, Spark/PySpark, Kafka, Flink, Databricks, Airflow, ETL/ELT, data modeling, optimization, batch & real-time pipelines 🔹 Cloud & MLOps — AWS, GCP, Azure, SageMaker, MLflow, Docker, Kubernetes, CI/CD, model deployment, monitoring, drift, and scalable AI infrastructure 🔹 Streaming & Distributed Systems — Apache Kafka, Confluent, Kafka Connect, Schema Registry, ksqlDB, Flink, MSK, real-time architectures and event-driven systems 🔹 Analytics & BI — Statistical analysis, A/B testing, Tableau, ThoughtSpot, QuickSight, Pandas, NumPy, Matplotlib & Seaborn 🔹 Career & Interview Guidance — Data Science / ML / AI / Data Engineering career transitions, resume & LinkedIn positioning, technical interview preparation, system design, project discussions, and navigating opportunities in the AI & Data ecosystem. 🎯 Why connect with me? If you're breaking into AI/ML or Data Engineering, transitioning into GenAI, preparing for technical interviews, building an AI/data project, or simply trying to understand how these technologies work in real-world production environments, I’m happy to share practical insights from my experience. I strongly believe in learning by building — not just understanding concepts, but knowing when to use them, how to architect them, and what it takes to take them to production. 🎓 Education & Certifications • B.Tech — Computer Science & Engineering (Data Science & AI), The NorthCap University • AWS Certified Solutions Architect – Associate • Confluent Certified Developer for Apache Kafka • ThoughtSpot Business Analyst / User / Admin / Data & AI Expert 🤝 Let’s connect if you’re passionate about AI, Data, Cloud, Engineering & Technology — or if you're looking for practical guidance to level up your career in these domains. 🔗 Socials: linktr.ee/KunalAnand