Dinesh Reddy Talla

About

Backend & AI Engineer with production experience building scalable asynchronous Python services and multi-agent LLM systems for document analysis, content generation, and RAG-based Q&A. Experienced in FastAPI, SQLAlchemy, LangGraph, LangChain, and cloud deployment on Azure and GCP.

Experience

• GenAI Python Developer
  V4info
  Jan 2026 – Present
• Software Developer (AI)
  Thota's Turbo Solutions Pvt Ltd
  Sep 2025 – Jan 2026

Education

• B.Tech
  Geethanjali College of Engineering and Technology
  Artificial Intelligence & Machine Learning

Skills

• SQL
• FastAPI
• Gemini
• Python
• Prompt Engineering
• PostgreSQL
• Docker
• LangChain
• REST APIs
• CI/CD
• RAG
• Azure OpenAI
• Redis
• LangGraph
• GitHub Actions
• LangSmith
• Dependency Injection
• Clean Architecture
• SQLAlchemy
• Qdrant
• Ragas
• Chromadb
• OpenAI APIs
• Neo4j
• Server-Sent Events
• Bm25
• Pgvector
• Crossencoder Reranking
• Groq

Projects

• AI Depression Detection System
  CNN, LSTM

  Multi-modal classification system using PHQ-9 data, facial expressions, and social-media sentiment; achieved 97.7% accuracy.

• OmniGraph AI – Enterprise Knowledge Copilot
  LangGraph, LangChain, Groq LLaMA-3.3-70B, Qdrant, Neo4j, PostgreSQL, FastAPI, Docker

  Built an 8-node LangGraph multi-agent RAG system with CRAG, dynamic context evaluation, and web search fallback. Engineered hybrid retrieval combining Qdrant dense embeddings, BM25 sparse search, Neo4j graph traversal, and CrossEncoder reranking via RRF, with an LLM Verifier node and HITL escalation.

Courses & certifications

• Intro to ML · Kaggle
• Python for Data Science · Cognitive Class
• Intro to Generative AI Studio · Google Cloud
• Data Science with Python · NSIC