dipak gaikwad

I’m an AI/ML Engineer specializing in GenerativeAI, LLM applications, and computer vision systems. I build hands-on RAG pipelines and agentic workflows, turning deep learning models into usable, production-ready solutions.

In my current role as a Machine Learning Engineer at R3 Sys pvt ltd, I focus on backend development while supporting AI-enabled web applications. I build and maintain web apps using Django and Flask, bridging model capabilities with real services.

Earlier, during my AI/ML Internship at Softseva Technologies, I developed and trained deep learning models for real-time age and gender detection. I handled data preprocessing, augmentation, and performance tuning to improve results under real-world constraints.

On the product side, I designed and built a full-stack “RAG-as-a-Service” LLM chatbot platform with vector databases, structured databases, and guardrails for deterministic and safeAI responses. I also built a multi-agent coding assistant where specialized agents handle planning, code generation, debugging, and documentation—leveraging Python, LangGraph/LangChain, and modern LLM tooling.