Bharathi Rajendran

About Bharathi Rajendran

I am a Data Scientist with 8+ years of experience in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI). My expertise lies in designing scalable AI/ML solutions, optimizing data-driven strategies, and integrating emerging AI technologies to solve real-world business challenges. I specialize in predictive modeling, NLP, MLOps, and cloud-based AI architectures, helping organizations unlock value from data through automation and intelligent decision-making. Core Expertise: Generative AI & LLMs: Fine-tuning and deploying Large Language Models (LLMs) for business applications Retrieval-Augmented Generation (RAG): Enhancing AI performance with context-aware retrieval mechanisms Machine Learning & Predictive Analytics: Developing models for forecasting, recommendation systems, and anomaly detection Natural Language Processing (NLP): Implementing AI-driven text analysis, chatbots, summarization, and semantic search MLOps & Scalable AI Pipelines: Automating model deployment, monitoring, and performance optimization in production environments Big Data & Cloud AI: Handling large-scale data processing, cloud computing (AWS, Azure, GCP), and distributed AI architectures Vector Databases & Knowledge Graphs: Leveraging FAISS, Pinecone, and ChromaDB for efficient AI-powered search and retrieval AI Model Optimization: Enhancing AI inference efficiency through quantization, distillation, and fine-tuning Tech Stack & Tools: Programming & Data: Python, SQL, R ML & GenAI Frameworks: TensorFlow, PyTorch, Hugging Face, OpenAI API, LangChain Cloud & Data Platforms: AWS, Azure,Databricks, Spark Deployment & MLOps: Kubernetes, Docker, CI/CD, Model Monitoring, Triton Inference Server Vector & Search Technologies: FAISS, Pinecone, ChromaDB, Weaviate My Approach to AI & Data Science: I believe in building AI systems that are explainable, scalable, and business-driven. Whether it’s optimizing ML models, deploying GenAI applications, or integrating AI-powered automation, my focus is on bridging the gap between cutting-edge AI research and practical business applications. With a deep understanding of data, algorithms, and industry-specific AI adoption, I help organizations harness AI to drive efficiency, innovation, and competitive advantage.

Experience

1. Data Scientist

   IBM

   Apr 2022 — Present · Bengaluru, IN

Education

• R.M.D ENGINEERING COLLEGE

  BE - Bachelor of Engineering

  2012 — 2016