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Building systems that think, reason, and act — not just predict.
dhananjay = {
"role" : "AI & ML Engineer (2024 BE Graduate)",
"focus" : ["LLM Systems", "Agentic AI", "RAG Pipelines"],
"currently" : "Learning AWS + Cloud Deployments",
"roadmap" : "Docker → AWS → MLOps → CI/CD → Kubernetes",
"open_to" : "AI/ML Engineering roles across India (remote-friendly)",
"fun_fact" : "I can make you laugh :)"
}11-stage LangGraph StateGraph agent with dual-server MCP architecture and 25+ dynamic state variables. Powered by Gemini 2.0 Flash.
LangGraph MCP Gemini 2.0 Multi-Agent Python
DistilBERT with dual CrossEntropy/MSE loss heads trained on ~763K Amazon reviews. Deployed as a Flask REST API.
PyTorch HuggingFace DistilBERT Flask Multi-Task Learning
End-to-end pipeline with LangChain, Pinecone vector store, GTE-Large embeddings, Cohere reranking, and Chainlit streaming interface.
LangChain Pinecone Cohere Chainlit GTE-Large
Live web search RAG combining Tavily search API with Gemini 2.0 Flash for grounded, real-time responses.
Tavily Gemini 2.0 LangChain Real-Time RAG
LLM & AI
Backend & APIs
Cloud & DevOps — Currently Learning ⚡
2025 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2026
[✅ Done] Python · PyTorch · LangChain · LangGraph · RAG · FastAPI
[🔄 Now] Docker · AWS Core Services (EC2, S3, Lambda, ECR)
[⏭ Next] MLflow · DVC · GitHub Actions CI/CD
[🔜 Soon] Kubernetes · Terraform · Monitoring & Observability
Goal: Deploy Predixa and Langie as live public APIs with full CI/CD pipelines.
"The best way to understand a system is to find where it breaks."
📬 dhananjaykumar137c@gmail.com · Open to AI/ML roles across India