Ramu Ganta | AI/ML Engineer | 8+ Years Experience
📧 ramu3data@gmail.com | 📱 +1 316 372 6764
💼 LinkedIn | 🐙 GitHub
Senior AI/ML Engineer with 8+ years of experience designing, deploying, and scaling production-grade machine learning and Generative AI systems. This repository serves as my experimental workspace for exploring cutting-edge LLM applications, RAG architectures, and AI automation tools.
Current Focus:
- 🤖 Enterprise-scale GenAI and RAG systems
- 🔄 MLOps pipelines and model governance
- ⚡ Real-time ML inference microservices
- 📊 Production-ready AI applications
- LLM Ecosystem: OpenAI, LangChain, LlamaIndex, Hugging Face Transformers, LLaMA
- RAG Architectures: Vector search (FAISS, Pinecone, Chroma), embeddings, retrieval systems
- Traditional ML: Forecasting, anomaly detection, classification, clustering
- Deployment: MLflow, FastAPI, Docker, Kubernetes, CI/CD
- Infrastructure: Azure ML, Databricks, AWS SageMaker
- Orchestration: Airflow, automated pipelines
Ramu_AI_ML/
├── daily_experiments/
├── production_templates/
├── research_implementations/
├── custom_projects/
└── learning_notes/
Current: AI/ML Engineer @ AUConnects (Aug 2025 - Present)
- Built enterprise GenAI RAG platform reducing retrieval time by 60%
- Deployed GPU-optimized vector search indexing 50K+ documents
Key Achievements:
- ⚡ Reduced ETL pipeline latency from 12 hours to <1 hour
- 📈 Improved forecasting accuracy by 30%
- 🎯 Built RAG systems with 60% faster retrieval
- 🎓 MS Data Science - Wichita State University (3.84 GPA) - 2023
- 🎓 BTech - Birla Institute of Technology (3.67 GPA) - 2018
Updated: December 24, 2025