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Vamsikrishnv/README.md

πŸ‘‹ Hi, I’m Vamshi Krishna

🎯 AI/ML & GenAI Engineer | LLMs β€’ Agents β€’ RAG β€’ Cloud-Native ML β€’ LangChain β€’ AWS/GCP
πŸ“ New York, NY |

πŸš€ What I’ve Done

I Build AI That Works in Production I specialize in designing, deploying, and scaling AI/ML systems β€” from fine-tuning large language models to orchestrating multi-agent workflows that automate real-world business operations.

  • πŸ€– LLM Applications β€” LangChain, LangGraph, CrewAI, AutoGen
  • 🧠 RAG Pipelines β€” Pinecone, Snowflake Cortex, Vector Search Optimization
  • πŸ›  Model Training & Fine-Tuning β€” GPT, LLaMA, Hugging Face, Vertex AI, SageMaker
  • ☁️ Cloud AI Deployments β€” AWS, GCP, CI/CD for ML, MLOps best practices
  • πŸ“¦ End-to-End AI Products β€” From research β†’ prototype β†’ production API

🧠 What I’m Working On

Right now, I’m deep into:

  • πŸ€– Building AI Agents that plan, remember, and automate β€” fitness, SEO, personal scheduling, and more
  • 🧩 Integrating LangChain, Ollama, OpenAI GPT-4o, and n8n into real-world task flows
  • πŸ“¦ Structuring production-ready LLM APIs using Spring Boot + FastAPI
  • 🧠 Experimenting with open-source LLMs + vector search (Pinecone, Weaviate, Amazon Bedrock)

🧭 What I’m Looking For

I'm actively seeking Full-Time Engineering Roles where I can:

  • Solve real-world problems using LLMs, AI Workflows, and Full Stack Engineering
  • Work on GenAI product teams building AI agents, developer platforms, or AI-native SaaS
  • Collaborate with visionaries in top global tech companies or cutting-edge AI startups

🧰 Tech Stack at a Glance

Core AI & GenAI: LangChain, LangGraph, CrewAI, AutoGen, Retrieval-Augmented Generation (RAG), Pinecone, Snowflake Cortex, Hugging Face, LLaMA, GPT
ML/DL Frameworks: TensorFlow, PyTorch, Keras, Vertex AI, AWS SageMaker, Fine-Tuning, Transfer Learning
NLP: Transformer Models, Prompt Engineering, Hallucination Mitigation, Intent Classification
Computer Vision: Object Detection, Image Classification, Satellite & SAR Image Analysis
Cloud & MLOps: AWS (Lambda, SageMaker, S3, ECS, RDS), GCP (Vertex AI, Cloud Functions), CI/CD for ML & Apps (Docker, GitHub Actions, Terraform)
Full Stack Development: Backend – Java 17, Spring Boot 3, FastAPI, Node.js; Frontend – React 18, Next.js 14, Tailwind CSS, Redux Toolkit; API Design – REST, GraphQL; Microservices Architecture, Kafka Messaging
Databases: PostgreSQL, MongoDB, Redis
Programming Languages: Python, Java, TypeScript
Security: JWT, OAuth 2.0, Spring Security

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