i
imabhi07

Abhishek K

@imabhi07

Full Stack Developer and GenAI RAG Engineer

India
Inglese, Hindi
Alcune informazioni sono riportate in lingua inglese.
Chi sono
Full-stack developer and GenAI/RAG engineer with 3+ years building production-grade, data-driven web apps. I work across React.js, Node.js and TypeScript, plus LangChain, ChromaDB and vector embeddings to ship RAG systems that hold up at scale - 5,000+ queries/day at sub-2s latency. At SpatialGrid I built an LLM-powered geospatial Q&A assistant and real-time AR/VR dashboards; earlier, I cut API latency by 35% at Veramasa Technology. I bring end-to-end ownership: clean architecture, measurable results, and clear communication. Let's build something great together.... Continua a leggere

Competenze

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imabhi07
Abhishek K
offline • 

Consulta i miei servizi

Sviluppo di chatbot IA
I will build a custom ai rag chatbot with langchain and openai
A partire da150 USD / progettoMaggiori dettagli
Applicazioni web full stack
I will build a full stack saas mvp with react and node js
A partire da200 USD / progettoMaggiori dettagli

Portfolio

Esperienza lavorativa

Spatial_Grid

Full Stack Developer - AI, Data & Geospatial Systems

Spatial Grid

Jun 2025 - Present • 1 yr 4 mos

Building an LLM-powered geospatial Q&A assistant with RAG (LangChain, ChromaDB, embedding models), enabling natural-language queries over large spatial datasets. Powering real-time AR/VR dashboards by analyzing sensor and spatial data for live 3D rendering and analytics. Engineering hybrid semantic + keyword search over geospatial corpora with vector collections and BM25 re-ranking to improve retrieval relevance. Developing a browser-based 3D design tool for AR/VR with drag-and-drop scene creation and real-time object manipulation.

VERAMASA

Full Stack Developer

VERAMASA

Oct 2023 - Jun 2025 • 1 yr 8 mos

Led full-cycle web development (frontend, backend, database) and improved API latency by 35% through query optimization and caching. Integrated OpenAI and Hugging Face models for document summarization, text classification, and data-driven content pipelines. Deployed CI/CD pipelines and containerized microservices with Docker, scaling on AWS ECS/EC2. Mentored junior developers on Git workflows, code reviews, and AI/data integration best practices.