Freelancers using LangChain in Delhi
Freelancers using LangChain in Delhi
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Trashu Vashisth
Delhi, India
Building Production-Grade AI Agents & RAG Systems
14
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Building Production-Grade AI Agents & RAG Systems
0
The Problem: Sales teams waste 60% of their time researching leads instead of closing them. The Solution: I built a custom Agentic AI Pipeline that automates deep-dive business intelligence and lead scoring. Key Technical Highlights: Multi-Agent Architecture: Built using CrewAI, featuring a 'Business Intelligence Specialist' (for real-time research) and a 'Senior Sales Director' (for strategic scoring). High-Speed Intelligence: Powered by Llama 3.3-70B for near-instant reasoning and decision-making. Real-time Web Scoping: Integrated Tavily AI to fetch live revenue data, employee counts, and market positioning. Enterprise Storage: A robust SQLite backend to manage lead pipelines with a sleek Streamlit dashboard. Smart Throttling: Engineered custom rate-limiting and token-trimming logic to ensure 99.9% uptime even under heavy API constraints. How it works: Simply enter a company name and URL. The AI agents scour the web, analyze the company's "AI potential," calculate a priority score (0-100), and even write a personalized sales pitch—all in under 30 seconds.
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36
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Developed a full-stack RAG-based E- Commerce AI chatbot using React.js and Tailwind CSS that suggests the perfect laptop from a live catalog. Integrated ChromaDB with BGE Embedding models to provide highly accurate, context-aware product recommendations and instant technical support." Key Highlights: Smart Laptop Recommendations: Uses Semantic Search to match user needs (gaming, coding, etc.) with real-time specs. Advanced Tech Stack: Powered by LangChain for orchestration and BGE models for superior data retrieval. Modern UI/UX: Built a responsive, clean interface using React.js and Tailwind CSS. Zero Hallucination: Ensures all suggestions are strictly grounded in the available product inventory.
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Built a highly scalable Retrieval-Augmented Generation (RAG) chatbot designed to interact with private datasets/PDFs. Unlike standard LLMs, this system minimizes hallucinations by retrieving real-time context from a local knowledge base before generating responses. Key Features: Semantic Search: Implemented Vector Embeddings to perform high-speed similarity searches across thousands of document chunks. Smart Retrieval: Integrated a retrieval pipeline using LangChain to fetch the most relevant context for user queries. Source Citation: Configured the bot to provide source references from documents, ensuring data transparency and accuracy. Optimized Performance: Used FAISS/Chromadb for efficient vector storage and retrieval.
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295
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Built an intelligent RAG-based chatbot designed to simplify complex financial analysis. In the project demo, the AI deep-dives into Apple’s annual reports, extracting key fiscal metrics and providing real-time insights through natural language queries. It transforms dense financial filings into actionable data using advanced document retrieval
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3
297
LangChain
(5)
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Wahid Ali
pro
Ghaziabad, India
Full Stack Developer | AI Tool, Web App, MVP & SaaS Products
$10k+
Earned
4x
Hired
4.9
Rating
21
Followers
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Full Stack Developer | AI Tool, Web App, MVP & SaaS Products
1
AI Search Optimization Platform
1
14
1
Flight Booking Platform
1
13
1
Innovation Intelligence Platform
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14
1
Digital Business Card Platform
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10
LangChain
(1)
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Shivansh Yadav
Delhi, India
SaaS MVP Expert | 3 MVPs Shipped | Full-Stack Developer
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SaaS MVP Expert | 3 MVPs Shipped | Full-Stack Developer
1
EmailNoob.com AI-Powered Cold Email Personalization
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12
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🦜LangSynth: AI-Powered Synthetic Data Generation
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7
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🎨Adistry.art: AI-Powered Ad Creative Generation
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6
1
IronDressAI: AI-Powered Wrinkle Removal Application
1
239
LangChain
(2)
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Khushi Mehta
Delhi, India
Data Scientist & AI Content Specialist | Dashboards • ML App
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Data Scientist & AI Content Specialist | Dashboards • ML App
0
BizBot: AI-Powered Business Data Chatbot Development
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1
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Cyber Crime Analysis using Machine Learning
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Customer and Sales Insights Dashboard
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0
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LangChain
(1)
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Aparna Soneja
Delhi, India
Full Stack AI & Machine Learning Engineer
$1k+
Earned
1x
Hired
44
Followers
Expert
Mentor
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Full Stack AI & Machine Learning Engineer
0
AI Agent that transforms Trello sprint data into a report
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5
0
AI agent for project planning, estimation & resourcing
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11
1
Mentors program. Week 5-7
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1
21
1
Portfolio Website
1
16
LangChain
(2)
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Ajay Bidyarthy
pro
Delhi, India
AI Engineer - Python, ML, LLM, RAG, Chatbot, SaaS, AWS, APIs
10
Followers
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AI Engineer - Python, ML, LLM, RAG, Chatbot, SaaS, AWS, APIs
3
Ajay Bidyarthy is the Founder and Chief Executive Officer of Blackcoffer and an AI Engineer with expertise in developing intelligent, scalable solutions using Machine Learning, Generative AI, and advanced chatbot systems. He designs and builds AI-powered applications—ranging from conversational agents to data-driven automation—by leveraging modern frameworks and cutting-edge technologies.
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325
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I offer AI, data science, analytics, software development, cloud computing, cybersecurity, and digital transformation services for startups and enterprises. My expertise includes machine learning, generative AI, big data analytics, business intelligence, web and mobile app development, IoT solutions, and enterprise automation. I also provide consulting, staffing, and industry-specific solutions for healthcare, finance, retail, insurance, energy, and supply chain businesses.
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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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I’m a global consultant helping entrepreneurs to gear-up their businesses. I am specialize in building IT products scratch to development—covering web and mobile applications, data science, analytics, machine learning, and AI solutions. Would you like to explore how we can help streamline your operations or launch your next big idea? Let’s discuss your requirements and explore tailored solutions for your business. Looking forward to hearing from you!
0
77
LangChain
(1)
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Sankalp Shukla
Delhi, India
AI Engineer building custom RAG chatbots & automation
New to Contra
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AI Engineer building custom RAG chatbots & automation
0
Designed and developed scalable AI-powered APIs that connected Globe Spring's applications, databases, and internal systems. The integration enabled intelligent search, personalized recommendations, chatbot functionality, and automated workflows through secure REST APIs and LangChain orchestration.
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Personalized AI Chatbot for Globe Spring
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51
0
Designed and developed a custom AI analytics dashboard for Globe Spring to provide real-time business insights and performance tracking. The platform aggregates sales, customer, and operational data into a single interactive dashboard with AI-powered recommendations and automated reporting. This solution helps decision-makers monitor KPIs, identify trends, and make faster data-driven decisions.
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28
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Developed an AI-powered workflow automation system for Globe Spring using n8n, Zapier, and OpenAI to automate order processing, email notifications, and CRM updates.
0
38
LangChain
(2)
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ANIMESH SINGH
Delhi, India
Data & AI Engineer
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Data & AI Engineer
0
A fully local RAG pipeline that transforms your PDFs into a queryable knowledge base using FAISS vector search and Ollama LLMs. No cloud, no API keys - just private, grounded document intelligence running entirely on your machine.
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35
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Problem: Many organizations still process invoices manually by reading PDF documents and entering key details (invoice number, vendor, amount, etc.) into systems. This process is slow, error-prone, and difficult to scale, and it also makes it harder to detect duplicate invoices or incorrect totals. Solution: This project builds an automated invoice processing pipeline that converts uploaded invoice PDFs into structured data. It uses OCR to extract text, LLMs to identify invoice fields, validation checks to ensure correctness, and Kafka-based event streaming to manage the processing pipeline. The extracted data is stored in PostgreSQL and visualized through a dashboard, enabling faster, scalable, and more reliable invoice processing.
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Problem Statement Urban traffic management systems lack real-time, integrated data combining traffic conditions with weather patterns. This results in poor routing decisions, delayed emergency responses, and inefficient traffic flow management. Solution Developed a comprehensive real-time ETL pipeline that integrates traffic APIs and weather data sources, processes millions of data points, and delivers actionable insights through interactive dashboards for traffic management and route optimization.
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27
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A fully Dockerized real-time IoT ETL pipeline that simulates device telemetry, processes events through MQTT and Kafka, orchestrates workflows with Airflow, and delivers real-time alerts and insights to CRM systems with monitoring via Grafana and Loki.
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51
LangChain
(1)
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