Kimaya Gabhane — AI Researcher

I build RAG systems that don't hallucinate. Most companies are "AI-curious," but few are "production-ready." At Softbyte, I bridge that gap by architecting LLM solutions on Microsoft Azure that transform messy internal documentation into actionable intelligence. The Results: 1. Latency: Reduced automated analytics reporting latency by 50%. 2. Scale: Built semantic search platforms for enterprise-level document repositories. 3. Precision: Designed RAG workflows using LangChain and Vector Databases to minimize hallucinations in high-stakes business environments. Core Tech Stack: 🛠 GenAI: RAG, Prompt Engineering, LangChain, Azure OpenAI, Pinecone/Milvus. 🐍 Engineering: Python (FastAPI/Flask), SQL, MLOps, Power BI. 📊 Data Science: NLP, Predictive Modeling, Statistical Analysis. Currently, I’m obsessed with optimizing Retrieval-Augmented Generation for speed and accuracy. If you're looking to move your AI project from "cool demo" to "enterprise tool," let’s talk. 📬 DM me for: LLM Orchestration, Azure AI, or GenAI Strategy.

Stackforce AI infers this person is a SaaS AI Engineer specializing in LLM and data-driven decision intelligence.

Location: Pune, Maharashtra, India

Experience: 4 yrs 5 mos