class Pranav:
name = "Malreddy Pranav Sai Reddy"
education = "B.E. Computer Science @ CBIT Hyderabad ('27)"
focus = ["Multi-agent systems", "RAG pipelines", "Backend APIs"]
stack = {
"AI/ML" : ["LangGraph", "LangChain", "PyTorch", "pgvector", "ChromaDB", "FAISS"],
"Backend" : ["FastAPI", "Node.js", "Flask", "PostgreSQL", "MongoDB"],
"Infra" : ["Azure AKS", "Kubernetes", "Docker"],
"Languages": ["Python", "JavaScript", "SQL", "Java"],
}
currently = "Contributing to LangChain open source · Targeting SWE internships"
ask_me = "LLM pipelines · agentic architectures · production FastAPI design"| Project | Description | Stack |
|---|---|---|
| AI Gym Assistant | Multi-agent fitness assistant — planning, nutrition & progress agents with memory, built on real data from ~400 members | LangGraph · LLaMA 3.3 70B · FastAPI · pgvector |
| Civic Sense | Civic issue platform — RAG pipeline auto-routes citizen reports to the correct city department | React Native · LangChain · ChromaDB · Groq · Node.js |
| SAR UAV System | RGB-thermal fusion for UAV survivor detection — cross-modal attention suppresses hot-debris false positives | PyTorch · FastAPI · WebSocket · LLVIP |
| AI Debugger | RAG observability tool — traces every pipeline stage, detects hallucinations & retrieval failures, surfaces fix suggestions | FastAPI · OpenAI · FAISS · React |
Backend Engineering Intern — UTMverse (2024)
REST APIs and Kubernetes deployments on Azure AKS for a UAV Traffic Management platform under ASTM F3548-21 compliance.
Cloud Intern — Minfy Technologies (2024)
Worked with AWS cloud services and Jira-based delivery workflows.
