Freelance ML Engineers in DelhiFreelance ML Engineers in Delhi
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Ajay Bidyarthy's avatar
Ajay Bidyarthy
Delhi, India
Python, CRM, AI Automation, Machine Learning and AI Engineer
    17
    Followers
Python, CRM, AI Automation, Machine Learning and AI Engineer
Cover image for A multi-tenant architecture is a
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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Cover image for Title: AI App Development |
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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Cover image for AI Development is the process
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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Cover image for The project focuses on automating
The project focuses on automating vehicle insurance certificate workflows using a scalable microservices architecture. The solution streamlines insurance certificate processing by reducing manual intervention, improving data handling, and enabling seamless communication between services through APIs and system integrations. The architecture is designed to support efficient workflow execution, reliable data exchange, and scalability as transaction volumes increase. By modernizing insurance operations, the solution helps create a more consistent, maintainable, and efficient process for managing vehicle insurance certificates. Business Impact 1. Increased Operational Efficiency: Reduced repetitive manual tasks and streamlined certificate processing workflows. 2. Faster Processing: Improved workflow execution to support quicker handling of insurance certificate requests. 3. Scalability: Enabled independent services to scale as business demand and transaction volumes grow. 4. Improved Reliability: Supported better service isolation and maintainability through a modular microservices architecture. 5. Reduced Operational Overhead: Helped minimize manual effort and workflow complexity. 6. Enhanced Integration: Enabled smoother communication between systems through APIs and service-to-service interactions. 7. Business Growth Readiness: Established a flexible foundation for future automation, integrations, and enhancements. Overall Outcome The project demonstrates how workflow automation and scalable microservices can modernize vehicle insurance operations, improve process efficiency, and provide a flexible technical foundation for future business growth.
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ML Engineer(3)
Aniket Panchal's avatar
Aniket Panchal
Delhi, India
AI & ML Solutions for Real-World Impact 🌐
AI & ML Solutions for Real-World Impact 🌐
Cover image for 🤖 MediBot AI – AI-Powered Medical Chatbot
🤖 MediBot AI – AI-Powered Medical Chatbot
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Cover image for Comment Feel - YouTube Comments Sentiment Analyzer Tool
Comment Feel - YouTube Comments Sentiment Analyzer Tool
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Cover image for Dish Decode- Flask Based API for Recipe Extraction from video
Dish Decode- Flask Based API for Recipe Extraction from video
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ML Engineer(3)
Izhar Katariya's avatar
Izhar Katariya
Delhi, India
AI/ML engineer building production RAG & LLM agent systems —
New to Contra
AI/ML engineer building production RAG & LLM agent systems —
Cover image for Title: NEXUS AI — M&A
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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Cover image for Title: ASPIRE — Automated ESG
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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Cover image for Title: LEXINTEL — Autonomous M&A
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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Cover image for Title: NEXUS AI — M&A
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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ML Engineer(4)
Cyril Johnson's avatar
Cyril Johnson
Delhi, India
Machine Learning Engineer, Artificial Intelligence Engineer
Machine Learning Engineer, Artificial Intelligence Engineer
Cover image for Cyril-7/Image-to-Text
Cyril-7/Image-to-Text
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Cover image for Indoor Navigation System Using Augmented Reality (AR)
Indoor Navigation System Using Augmented Reality (AR)
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Cover image for WhatsApp Bot with Meta Cloud API and Flask
WhatsApp Bot with Meta Cloud API and Flask
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Cover image for Cyril-7/AI-Generated-Imagery
Cyril-7/AI-Generated-Imagery
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ML Engineer(4)
Abhishek Choudhary's avatar
Abhishek Choudhary
Delhi, India
Fullstack Web Solutions with MERN Mastery
Fullstack Web Solutions with MERN Mastery
Cover image for AI Library Management System
AI Library Management System
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Cover image for Product Recognition System
Product Recognition System
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Cover image for meakc
meakc
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ML Engineer(2)
Rakshak Raina's avatar
Rakshak Raina
Delhi, India
Data Science & AI Projects Expert | Python & Azure ML
Data Science & AI Projects Expert | Python & Azure ML
Cover image for Distinguishing between the Drip/Sprinkler System
Distinguishing between the Drip/Sprinkler System
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Cover image for Segmentation of Retinal Images using Transformer-based models
Segmentation of Retinal Images using Transformer-based models
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Cover image for Distinguishing Lightweight Block Ciphers in Encrypted Images
Distinguishing Lightweight Block Ciphers in Encrypted Images
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ML Engineer(3)