p
prathamesh2004_

Prathamesh C

@prathamesh2004_
4,8(9)

Level 1

AI Product Engineer

Inde
Anglais, Hindi, Marathi
Certaines informations sont présentées en anglais.
À propos de moi
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.... Plus d’infos

Compétences

p
prathamesh2004_
Prathamesh C
20 $US/heure
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Développement de chatbots d'IA
I will build a private ai chatbot for your documents, website, pdfs, or knowledge base
4,8(6)
Sites web IA & Logiciel
I will build a custom ai agent with tools, memory, apis, and workflow automation
4,8(3)

Vous souhaitez travailler sur une base horaire ?

Dites à Prathamesh C ce dont vous avez besoin.

20 $US

/

heure

Portfolio

Expérience professionnelle

Freelance

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.

Omni

Junior Artificial Intelligence Developer

Omni • Temps plein

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.

Hugging_Face

Open Source Contributor

Hugging Face • Indépendant

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.

9 Avis
4,8

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(0)
Détails de la notation
  • Niveau de communication avec le freelance
    4,8
  • Qualité de la livraison
    4,7
  • Valeur de la livraison
    4,9
1 à 5 avis sur 9
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