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Prathamesh C
@prathamesh2004_
Level 1
AI Product Engineer
India
Inglese, Hindi, Marathi
Chi sono
AI Product Engineer focused on production-grade LLM systems, optimized inference, and scalable agent architectures.
I specialize in cost-efficient model deployment, quantized high-performance inference (HQQ/AWQ), RAG systems at scale, and LangGraph agent workflows. I’ve reduced inference costs by 35%, improved operational efficiency by 60% through automation, and deployed AI systems handling 500k+ documents with enterprise-level reliability.
I build AI products - not scripts.
Let’s design something that scales.
Competenze
Prathamesh C
20 USD/ora
offline •
Tempo di risposta medio: 1 ora
Consulta i miei servizi
Sviluppo di chatbot IA
I will build a private ai chatbot for your documents, website, pdfs, or knowledge base
Siti Web e software IA
I will build a custom ai agent with tools, memory, apis, and workflow automation
Vuoi lavorare su base oraria?
Spiega a Prathamesh C cosa ti serve.
20 USD
/
oraPortfolio
Esperienza lavorativa
Freelance Full-Stack AI Engineer
Freelance • Freelance
Mar 2026 - Present • 7 mos
Contract AI engineer for BlueFire S.A., a Luxembourg company building private AI agents for regulated professions. Built AI-assisted KYC/AML workflows (PEP screening, UBO identification, ownership verification, document analysis) using RAG and agentic systems with Python, FastAPI, vector databases and OCR pipelines. Built React interfaces for agent configuration and compliance workflows, and deployed features to production.
Junior Artificial Intelligence Developer
Omni • Full time
Jun 2025 - Jun 2026 • 1 yr
Built a multi-tenant LLM inference service handling concurrent user sessions. Cut inference costs with AWQ quantization on production LLM workloads. Built a LangGraph system that routes HR tickets automatically, and added prompt caching to a content-generation pipeline to raise throughput.
Open Source Contributor
Hugging Face • Lavoratore autonomo
Sep 2025 - Dec 2025 • 3 mos
Contributed to the Hugging Face Transformers library: improved documentation clarity and formatting, reported a dtype compatibility issue with HQQ-quantized Granite 4 models (issue #41455), and tested quantized model variants to give feedback to maintainers.
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imperial808
Regno Unito
Collaborazione in corso
Utile?
imperial808
Regno Unito
Collaborazione in corso
Fantastic, will carrying on working with Prathamesh.
Utile?
alliedtires1
Stati Uniti
Utile?
rajeshgupta101
India
Collaborazione in corso
Utile?
priivateai
Lettonia
Utile?
