You will get a structured data extraction platform for documents
Rising Talent
Project details
DocuProx is an AI-powered document data extraction and automation platform that helps organizations convert unstructured documents into reliable, structured data. Designed for modern digital workflows, it eliminates manual data entry by extracting information from PDFs and images with high accuracy and consistency.
Using configurable, template-driven AI extraction and a developer-friendly API, DocuProx integrates seamlessly with existing systems to automate document-heavy processes. It enables teams to process documents faster, reduce errors, and scale operations without increasing overhead. The platform connects directly to Salesforce via a dedicated package, allowing for seamless CRM integration.
DocuProx is used across finance, insurance, HR, legal, healthcare, and operations use cases where clean, structured document data is critical for business workflows. Built for scalability and enterprise readiness, it turns static documents into actionable data—powering faster decisions and smarter automation.
Using configurable, template-driven AI extraction and a developer-friendly API, DocuProx integrates seamlessly with existing systems to automate document-heavy processes. It enables teams to process documents faster, reduce errors, and scale operations without increasing overhead. The platform connects directly to Salesforce via a dedicated package, allowing for seamless CRM integration.
DocuProx is used across finance, insurance, HR, legal, healthcare, and operations use cases where clean, structured document data is critical for business workflows. Built for scalability and enterprise readiness, it turns static documents into actionable data—powering faster decisions and smarter automation.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$1,100
|
Standard
$1,300
|
Advanced
$1,600
|
|---|---|---|---|
| Delivery Time | 25 days | 40 days | 50 days |
Number of Revisions | 2 | 3 | 4 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | ||
Model Documentation | - | ||
Ontology | - | - | |
Source Code | - | - | - |
Taxonomy | - | - | - |
About Ashish
Expert AI/ML Architect | LLM, RAG, n8n, AI Agents | Python/FastAPI
Thane, India - 5:13 am local time
Let's turn ideas into scalable, production-ready AI systems
If you’re looking to automate workflows, reduce manual effort, or build AI-powered products that actually work in production, I can help you get there—quickly and reliably. I work with businesses to design and build LLM-powered applications, AI agents, and backend systems that don’t just look good in demos—but deliver real results in day-to-day operations.
𝐖𝐡𝐚𝐭 𝐈 𝐝𝐨:
# Turn manual processes (data entry, document handling, reporting) into fully automated workflows.
# Build AI chatbots & agents that actually work as internal assistants, designed for accuracy, speed, and real-world usage.
# Enable natural language querying, dashboards, and AI-driven decision support.
#Convert PDFs and unstructured data into structured, actionable information—integrated directly into your systems (like Salesforce).
# Robust APIs, microservices, and cloud deployments built for performance and reliability.
# Seamlessly connect AI with CRMs, APIs, and business workflows without disrupting your current systems.
𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐤𝐢𝐥𝐥𝐬
• Large Language Models (LLMs): GPT, Claude, Open-source (LLaMA, Mistral)
• NLP: Text classification, sentiment analysis, entity recognition, summarization
• Conversational AI & Chatbot Architecture
• MCP tool-calling architecture and Agent skills
• End-to-end AI system design (scalable & production-ready)
• Multi-agent systems & workflow orchestration
• Real-time AI pipelines (low latency systems)
• AI + Backend integration (APIs, microservices)
• Data pipelines (ETL/ELT) & data preprocessing
• Structured & unstructured data handling
• Vector databases: Pinecone, Weaviate, FAISS
• Languages: Python, JavaScript/TypeScript, Rust
• Frameworks: Node.js, FastAPI, Express
• API Design: REST, GraphQL, WebSockets
• Microservices architecture
• AWS (Lambda, ECS, EKS, S3, API Gateway)
• Docker, Kubernetes (containerized deployments)
• CI/CD pipelines & automation
• Infrastructure as Code (Terraform, CloudFormation)
• Integration with n8n, Zapier, make, salesforce, and AI
• LangChain, LlamaIndex
• OpenAI APIs, Hugging Face
• Langfuse (monitoring & evaluation)
• Pinecone, Weaviate
𝐌𝐲 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐧8𝐧:
• Worked on n8n, orchestrating LLMs, APIs, and third-party services to build scalable, event-driven pipelines.
• External APIs using n8n, enabling seamless data flow and intelligent process automation.
• Automation workflows in n8n for use cases like document processing, notifications, and business operations, optimizing efficiency and reducing manual effort.
𝐌𝐲 𝐖𝐨𝐫𝐤
➤ AI Analytics Chatbot
Developed a conversational analytics layer powered by LLMs that allows users to query structured and unstructured data using natural language.
• Integrated LLMs with business data sources (databases, APIs, CRM systems)
• Built a query translation layer (NL → SQL/logic execution)
• Implemented context-aware responses, summarization, and insight generation
• Designed for real-time querying with scalable backend architecture
➤ AI Voice Agent
Engineered a real-time voice AI system capable of handling conversational workflows, scheduling, and task automation.
• Integrated Speech-to-Text (STT), LLM-based processing, and Text-to-Speech (TTS) in a low-latency pipeline
• Built stateful conversation management for multi-turn interactions
• Connected with backend systems via APIs for dynamic data retrieval and action execution
• Optimized for high concurrency and real-time performance
𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 → 𝐂𝐑𝐌 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧
Designed and implemented an AI-driven document ingestion pipeline that extracts, normalizes, and validates structured data from unstructured documents (PDFs, images).
• Leveraged OCR + NLP models for context-aware data extraction
• Built data validation and transformation layers to ensure schema consistency
• Developed secure API integrations with Salesforce (REST/SOAP) for real-time data sync
• Implemented event-driven workflows for automated record creation and updates
𝐌𝐲 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡
I don’t just build AI—I focus on solving business problems:
Identify where AI adds real value
Design efficient, scalable systems
Optimize for cost, speed, and accuracy
Deliver solutions that your team can actually use
𝐖𝐡𝐚𝐭 𝐲𝐨𝐮 𝐠𝐞𝐭!
➤ I write code that’s scalable, maintainable, and built for real-world use—not quick fixes
➤ From idea to deployment, I handle architecture, development, and integration myself
➤ I specialize in building AI-powered systems (LLMs, chatbots) that solve business problems
➤ I design systems that can grow with your product—no need to rebuild later
➤ You’ll always know what’s happening, with regular updates and quick responses
➤ Performance & Security Focused – Optimized, secure, and built with best practices from day one
Let’s discuss your project and turn your idea into a scalable, AI-powered solution.
Steps for completing your project
After purchasing the project, send requirements so Ashish can start the project.
Delivery time starts when Ashish receives requirements from you.
Ashish works on your project following the steps below.
Revisions may occur after the delivery date.
Understand the Requirement
Connect over a call and explain the process