class AIEngineer:
name = "Venkata Sai Ancha"
role = "AI Engineer"
location = "Building the future"
focus = [
"LLM Architectures & Agent Systems",
"RAG Pipelines & Memory Design",
"Real-Time Computer Vision",
"Cloud-Native AI Infrastructure",
]
belief = "AI = Memory + Behavior + Interaction"
def say_hi(self):
print("Let's build something intelligent!")
me = AIEngineer()
me.say_hi()
| Project | Stack | Summary |
|---|---|---|
| CaptenAI Query Genius | LangChain · Gemini AI · Matplotlib | Multi-database RAG system with visual query summaries |
| Soccer Vision AI | YOLO · OpenCV · Optical Flow | Real-time tracking, possession %, player analytics |
| LLM Agent Toolkit | LangChain · Neo4j · VectorDB | Long-term memory, dynamic context routing, graph integrations |
| Vision Filter App | OpenCV · Python | Live edge detection, face tracking, HSV segmentation |
| Feedback Platform | FastAPI · PostgreSQL · Auth | Full-stack user feedback with session tracking & storage |
|
|
|
| Type | Credential |
|---|---|
 |
CNN-based Flower Classification |
 |
Multi-Agent LLM Architectures |
 |
Self-Driving Cars Specialization |
|
Natural Language Processing |
 |
Data Science + Stats with Python |
▸ Model-Compute Patterns & Agent Graphs
▸ LLM Long-Term Memory & Chained Reasoning
▸ Self-Hosted Multi-Agent Frameworks
▸ Edge-Based Computer Vision Inference Pipelines
▸ Prompt-to-API Automation via GenAI + Open Systems
