Freelance ML Engineers in Noida
Freelance ML Engineers in Noida
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Ajay Bidyarthy- Full Stack AI Engineer
Delhi, India
Build production-ready AI applications with Machine Learning
15
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Build production-ready AI applications with Machine Learning
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A multi-tenant architecture is a software architecture where a single application instance serves multiple customers (tenants) while keeping each tenant's data and configuration isolated. Example Imagine a SaaS CRM platform: - Company A uses the CRM. - Company B uses the same CRM. - Company C uses the same CRM. All three companies share the same application, but: -> Their users only see their own data. -> Their settings, branding, and permissions can be different. -> The platform provider maintains only one codebase.
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Title: AI App Development | LLMs, Chatbots, RAG & Automation Solutions Description: I design and develop intelligent AI-powered applications that automate workflows, enhance user experience, and unlock actionable insights. From custom chatbots to advanced LLM-based systems, I build scalable and production-ready solutions tailored to your business needs. Whether you're a startup looking to integrate AI or an enterprise aiming to optimize operations, I deliver robust, efficient, and future-ready AI systems. What I Offer: ✔Custom AI applications using LLMs ✔Chatbot development (GPT, Claude, RAG-based) ✔AI workflow automation (N8N, Zapier, Make) ✔API integrations and backend systems ✔AI SaaS product development Tech Stack: Python, FastAPI, LangChain, OpenAI, Claude, Supabase, PostgreSQL, React, Next.js, AWS
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AI Development is the process of building systems that can learn, reason, and make decisions from data—basically creating software that behaves in a more “intelligent” way instead of just following fixed rules. Its core, AI development involves combining data, algorithms, and computing power to solve real-world problems—like recommendations, automation, predictions, or natural language understanding.
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AI Chatbot Application Development
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Izhar Katariya
Delhi, India
AI/ML engineer building production RAG & LLM agent systems —
New to Contra
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AI/ML engineer building production RAG & LLM agent systems —
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Title: NEXUS AI — M&A Intelligence Platform Description: Enterprise platform combining RAG, Neo4j knowledge graphs, and XGBoost ESG forecasting under a LangGraph agent. Built for PE due diligence. Image: same NEXUS AI screenshot from Upwork Link: private demo only
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Title: ASPIRE — Automated ESG Report Generator (GRI/TCFD) Description: Built a GenAI system that converts raw ESG CSV data into a fully structured GRI/TCFD-aligned sustainability report in ~30 seconds using LLaMA 3.3. The validation layer cross-checks every LLM-generated number against source data before it reaches the report, preventing hallucinated figures in a compliance document. Includes red-flag triggers for fatalities, data breaches, and high turnover that auto-apply GRI materiality language. 57/57 tests passing, deployed on Render, Streamlit Cloud, and AWS EC2.
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Title: LEXINTEL — Autonomous M&A Due Diligence Accelerator Description:Built a 4-pass autonomous AI pipeline that ingests an entire M&A data room — PDFs, contracts, exhibits — and produces a structured legal report in under 2 minutes. Detects missing exhibits, extracts clauses across 9 legal categories, and catches cross-document contradictions like mismatched equity percentages automatically. Zero data retention, fully ephemeral processing. 0% failure rate in testing. Built with Groq LLaMA 3.3, FastAPI, Streamlit, deployed on AWS EC2.
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Title: NEXUS AI — M&A Intelligence Platform Description: Enterprise platform combining RAG, Neo4j knowledge graphs, and XGBoost ESG forecasting under a LangGraph agent. Built for PE due diligence. Image: same NEXUS AI screenshot from Upwork Link: private demo only
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Aniket Panchal
Delhi, India
AI & ML Solutions for Real-World Impact 🌐
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AI & ML Solutions for Real-World Impact 🌐
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🤖 MediBot AI – AI-Powered Medical Chatbot
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Comment Feel - YouTube Comments Sentiment Analyzer Tool
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Dish Decode- Flask Based API for Recipe Extraction from video
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Cyril Johnson
Delhi, India
Machine Learning Engineer, Artificial Intelligence Engineer
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Machine Learning Engineer, Artificial Intelligence Engineer
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Cyril-7/Image-to-Text
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Indoor Navigation System Using Augmented Reality (AR)
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WhatsApp Bot with Meta Cloud API and Flask
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Cyril-7/AI-Generated-Imagery
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Himanshu Narwal
Delhi, India
Transforming complexity into clarity through data.
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Transforming complexity into clarity through data.
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Use data science Python libraries to forecast housing prices
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Compare machine learning classification algorithms
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Winning space race with data science
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Develop a responsive Python dashboard
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15
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mayank
Delhi, India
Expert Data Visualization with Tableau & Matplotlib
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Expert Data Visualization with Tableau & Matplotlib
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Skin Lesion Detection Using Convolutional Neural Networks – ISI…
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Comprehensive Stock Analysis and Prediction Using LSTM: A Case …
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Visualizing and Predicting California Housing Prices: A Linear …
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Madhur Goel
Gurugram, India
Power BI & ML Expert | Dashboards & Predictions
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Power BI & ML Expert | Dashboards & Predictions
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Movie Recommendation System using Machine Learning
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PUBG Game Winner Prediction with Machine Learning
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Power BI Dashboard for Binge and Bash
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Arman Mansury
Noida, India
Full-stack Stack Web developer and ML engineer .
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Full-stack Stack Web developer and ML engineer .
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Iamarman79/Face-Recognition-Attendance-System
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Iamarman79/COVID-19-Deep-Learning-CNN-Model
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Iamarman79/Puma-Shoe-Website-Clone
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