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
10
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Building Production-Grade AI Agents & RAG Systems
1
Developed a production-grade Retrieval-Augmented Generation (RAG) system specifically designed to automate the analysis of complex Environmental, Social, and Governance (ESG) reports. This tool bridges the gap between static LLMs and the dynamic, data-heavy requirements of legal and sustainability compliance. [1 (https://www.youtube.com/watch?v=wkYPcMtwlN8)] Key Features & Capabilities Intelligent Document Processing: Automatically handles large, unstructured PDF/Word ESG reports, extracting critical clauses and metrics in seconds. Fact-Grounded Q&A: Uses a RAG architecture to ensure all answers are strictly based on the uploaded documents, virtually eliminating AI hallucinations. Compliance Mapping: Cross-references internal company data with global frameworks like CSRD, GRI, and TCFD to identify gaps or inconsistencies. Audit-Ready Traceability: Every insight generated includes direct citations and excerpts from the source files, providing a clear "paper trail" for legal teams. Automated Drafting: Capability to draft legal summaries, notices, or internal policy updates based on analyzed ESG risks Note: The 'Slaughter and May' branding in the sidebar is for UI/UX demonstration purposes only, showcasing how the tool integrates into a top-tier law firm's environment. #AI #RAG #LegalTech #ESG #Python #LangChain
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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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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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262
LangChain
(4)
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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
20
Followers
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Full Stack Developer | AI Tool, Web App, MVP & SaaS Products
1
AI Search Optimization Platform
1
12
1
Flight Booking Platform
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6
1
Innovation Intelligence Platform
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8
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Digital Business Card Platform
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5
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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10
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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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5
1
IronDressAI: AI-Powered Wrinkle Removal Application
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237
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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0
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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
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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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Tanuj Rajput
Delhi, India
Developer building AI-powered and scalable digital solutions
New to Contra
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Developer building AI-powered and scalable digital solutions
0
RAG-Based PDF Q&A AI System
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21
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Voice-Based AI Learning Platform
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18
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Multi-Agent AI Research System
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30
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AI-Powered Gadget Recommendation Agent
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26
LangChain
(3)
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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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29
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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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25
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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.
0
47
LangChain
(1)
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Dhananjay Garg
Delhi, India
AI & Cybersecurity Innovator | Building Tech with Insight
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AI & Cybersecurity Innovator | Building Tech with Insight
1
Ardra - LLM and MCP powered InfoSec Platform
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1
1
HackGain - Cybersecurity & AI products Service provider
1
0
1
Content Creation for cybersecurity and AI youtube channel
1
0
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(2)
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