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mangesh_5254

Mangesh W

@mangesh_5254

RAG and Voice AI Developer

Índia
Inglês
Algumas informações são exibidas no idioma inglês.
Sobre mim
I build AI applications that turn documents into answers with source citations, including relevant tables and diagrams. My work includes a research assistant over 499 papers, voice-enabled learning tools, and AI lecture-generation workflows. I work with Python, FastAPI, Next.js, React, PostgreSQL, LangGraph, Qdrant, and Neo4j. I can help with RAG chatbots, AI integrations, and full-stack development, with clear scope, working demos, and handover documentation.... Saiba mais

Habilidades

m
mangesh_5254
Mangesh W
offline • 

Conheça meus serviços

Desenvolvimento de chatbots de IA
I will build an ai rag chatbot for pdfs, tables and diagrams
A partir deUS$ 100 /projetoMais detalhes
Consultoria de Tecnologia de IA
I will diagnose and fix rag retrieval and PDF extraction in python
A partir deUS$ 100 /projetoMais detalhes

Portfólio

Experiência profissional

Upwork

Freelance Full-Stack & AI Developer

Upwork • Freelance

Mar 2026 - Present • 7 mos

Independent freelance work for clients through Upwork. Develop and maintain frontend and backend features and improve existing AI pipelines. Completed an 88-hour RAG development contract focused on LlamaIndex and LLM integration from March to May 2026. Continue full-stack engineering work on a client application from May 2026.

Avinya_NeuroTech

Full-Stack Developer

Avinya NeuroTech

Jan 2026 - Aug 2026 • 7 mos

Built HL7 report exchange for a cardiac-health platform, connecting external healthcare systems. Developed secure report delivery using mTLS and Medical Objects, including certificate management and end-to-end testing. Validated clinical workflows with vendors and supported AWS deployment and DICOM/PACS integrations.

AKAI

Full-Stack & Generative AI Intern

AKAI

Feb 2025 - Mar 2026 • 1 yr 1 mo

Developed frontend features, backend APIs, authentication, and dashboards using Next.js, FastAPI, PostgreSQL, and AWS. Built a RAG learning system with text and diagram retrieval, combining keyword and semantic search with a knowledge graph. Created AI agents, voice features, and workflow automation, and maintained application deployments.