Manoj C.

I’m a Data Scientist and ML/AI Engineer with 7+ years of experience building end-to-end Data Science, Machine Learning, Generative AI, optimization, and MLOps solutions — from data preparation and modeling to deployment, automation, and monitoring. Data Science & Machine Learning Predictive Modeling | Regression | Classification | Clustering | Time Series Forecasting | Demand Forecasting | Feature Engineering | Hyperparameter Tuning | SHAP | Bayesian Modeling | Mixed-Effects Models | Statistical Analysis | Linear Programming & Optimization Generative AI & Agentic AI LLMs | RAG | Agentic RAG | AI Agents | Multi-Agent Systems | LangChain | LangGraph | LlamaIndex | Vector Databases | Semantic & Hybrid Search | Embeddings | Reranking | Knowledge Graphs | Graph RAG | Prompt Engineering | LLM Evaluation | LoRA/QLoRA/PEFT | OpenAI | Azure OpenAI | AWS Bedrock | MCP MLOps & AIOps End-to-End ML Pipelines | Model Deployment | Automated Training & Retraining | Batch/Real-Time Inference | Model Registry & Versioning | Experiment Tracking | Model Monitoring | Data/Model Drift | CI/CD | Workflow Orchestration | Docker | MLflow | Airflow AWS & Data Engineering SageMaker | Bedrock | S3 | Lambda | Glue | Redshift | IAM | EventBridge | Step Functions | MWAA | CloudWatch | ECR | ECS | API Gateway | ETL/ELT | PostgreSQL Tech Stack Python | SQL | R | Pandas | NumPy | PyArrow | Scikit-learn | XGBoost | LightGBM | Prophet | Statsmodels | MLflow | Git/GitHub | Docker | Streamlit | Power BI I can help build ML models, forecasting and optimization systems, RAG applications, AI agents, automated ML pipelines, and production-ready AI/ML solutions with a strong focus on scalability, automation, and measurable business impact.