Freelancers using PyTorch in Palaiseau
Freelancers using PyTorch in Palaiseau
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Sathwika Bandaru
Saint-Denis, France
AI Engineer building LLM, RAG & AI automation solutions
New to Contra
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AI Engineer building LLM, RAG & AI automation solutions
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Collaborative project, contributed key production components of Med-V²QA, a clinical Visual Question Answering system built on the MUMC architecture for radiology image analysis. My contributions: built the Dual-Gate Guardrail System (Gate 1 rejects non-medical intent, Gate 2 uses a local CLIP classifier to reject non-medical images ensuring clinical safety and system focus); developed the Batch Triage module using zero-shot CLIP to automatically sort and prioritise the most abnormal scans from uploads of up to 20 images; integrated Voice I/O using OpenAI Whisper for speech-to-text transcription and gTTS for audio readout of answers; built the PDF report generation module producing structured clinical reports with patient data, notes, and VQA results; and developed the FastAPI backend handling high-performance async request processing across all services. Built as part of a team my work covered the safety layer, multimodal I/O, clinical reporting, and backend API infrastructure.
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Collaborative project built at Kaggle Week 26 GenAI Hackathon, contributed the core AI engineering layers of a Business Law RAG Assistant that answers legal document queries with source citations and live faithfulness verification. My contributions: built the hybrid FAISS + BM25 retrieval pipeline for accurate document search; designed the multi-agent orchestration system coordinating retrieval, generation, and verification agents; implemented the faithfulness verification layer to evaluate and score LLM output quality; integrated an MCP tool server enabling live web search as a fallback; and built the analytics dashboard tracking query performance and retrieval metrics. Built as part of a 4-person team, my work covered the RAG pipeline, agentic architecture, and evaluation infrastructure.
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Built as part of a team, my contributions covered the pipeline orchestration, model serving, and data infrastructure layers.
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Built a Medical NLP system that processes clinical text to extract healthcare entities, redact sensitive information, and structure unstructured medical data using NER pipelines and FastAPI for backend integration.
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30
PyTorch
(1)
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Riddhi Kumavat
Paris, France
Data Scientist | Machine Learning & LLM | Python | NLP
New to Contra
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Data Scientist | Machine Learning & LLM | Python | NLP
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CNN - Object detection
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46
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RAG-based Chatbot Assistant
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45
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Forecasting and Demand prediction
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49
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NLP - Mental Health Analysis
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52
PyTorch
(1)
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Otávio Ribas
91120 Palaiseau, France
Data Scientist & Software Engineer
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Data Scientist & Software Engineer
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Caption Generator
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7
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Site do Tino | Para Lojistas e Fornecedores
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6
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Computer Vision: Semantic Segmentation
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14
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PyTorch
(1)
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Oussama Bastamy
Paris, France
Data Scientist: ML/DL, Scraping
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Data Scientist: ML/DL, Scraping
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Vision model for damage extent prediction
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7
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Predictive Maintenance for battery cells using LSTMs
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5
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Job Web scraper for Indeed
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13
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PyTorch
(2)
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Yanis Emeriau
Savigny-le-Temple, France
🧠 AI/ML Engineer • Data Scientist • AI for Healthcare 🧬
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🧠 AI/ML Engineer • Data Scientist • AI for Healthcare 🧬
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AI Sales Predictive Modeling for General Electric
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4
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AI-Driven Malware Detection for Cybersecurity
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1
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AI Predictive Modeling for Cancer - Gustave Roussy
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4
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PyTorch
(1)
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