You will get an AI Knowledge Assistant for Support & Sales (RAG + MCP)
Project details
I build a working internal knowledge & automation assistant for support and sales teams that lives in Slack or Teams. It combines Retrieval-Augmented Generation (RAG) with MCP-powered multi-agent orchestration to decompose queries, fetch context, escalate low-confidence cases, and trigger workflows—all with source attribution and self-healing. Users upload or sync internal docs/CRM/ticket data, ask questions, get accurate answers with provenance, and automate next actions like ticket creation or sales nudges. This reduces resolution time, improves onboarding, and surfaces revenue opportunities while giving transparency via planner/executor traces.
AI Development Type
Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
MLflow, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$140
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 10 days | 20 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | - | |
Knowledge Graph | - | ||
Model Documentation | |||
Ontology | - | ||
Source Code | |||
Taxonomy | - | - |
Optional add-ons
You can add these on the next page.
Customized UI App
+$100About Aman
Senior Full-Stack Engineer | AI Specialist
Noida, India - 2:26 am local time
With over five years of hands-on experience, I build robust, production-ready AI solutions and full-stack applications—from transformer-based model fine-tuning (GPT, BERT) and RAG pipelines (LangChain, FAISS), to designing secure, scalable APIs and crafting responsive user interfaces. Whether enhancing large codebases or spinning up quick proof-of-concepts, I’m comfortable owning the entire software lifecycle.
Pro tip: I also have strong experience in crypto and blockchain projects. I can manage your full stack—frontend, backend, cloud infrastructure, and CI/CD pipelines—providing a seamless end-to-end solution.
Professional Snapshot
My journey began at IIIT Ranchi, a tier-1 college in India, where I was a rank holder in electronics. After cracking Flipkart as an SDE, I chose to join a product-focused startup working on decentralized storage. At Sarvvid AI, I was the sole developer alongside the founder, and we ranked among the top web3 companies in 2019. I later contributed to Awfis, SPRY Therapeutics, Ocean Friends, and now Fractal Analytics.
Over the years, I have mastered advanced NLP and generative AI techniques, built full-stack products, and managed end-to-end deployments on Kubernetes, AWS, and GCP. Fun fact: I built RAG pipelines before the term was coined! From first line of code to full production, I make sure every piece—frontend, backend, infrastructure—works flawlessly together.
Core Competencies
â– Generative AI & Machine Learning:
Designed and deployed retrieval-augmented generation pipelines with LangChain, LlamaIndex, FAISS, and custom vector stores
Fine-tuned and prompt engineered GPT-3/4 and Hugging Face models
Built Whisper-powered transcription workflows, transformer-based NLP classifiers, and OCR-driven document readers
â– Frontend Development:
Responsive UIs with React, Next.js, React Native, and TypeScript
Component libraries: Chakra UI, Material-UI, Tailwind CSS
State management with Redux, Zustand, Context API
Interactive elements: modals, toasts, dynamic forms, real-time updates
â– Backend Development:
RESTful and real-time APIs using Node.js (Express), FastAPI, Flask
Database design with MongoDB, PostgreSQL, DynamoDB
Cloud integration: AWS Lambda, EC2, S3, Azure Functions
Microservices and serverless architecture
â– UI/UX Implementation:
Translate Figma and Adobe XD designs into pixel-perfect, accessible layouts
Styling with SCSS, Bootstrap, Tailwind CSS
â– Performance & Optimization:
Asset/image optimization, bundlers (Vite, Webpack), code-splitting
Monitoring and improving page and API performance
â– Testing & Maintenance:
Unit and end-to-end testing (Jest, Cypress)
Debugging, refactoring, and ongoing support
I thrive on challenging projects and enjoy turning your ideas into powerful, scalable products. Let’s chat! Send me your project goals and I’ll share a tailored plan within 24 hours.
Let me know if you want this further shortened or tailored for a specific niche!
Steps for completing your project
After purchasing the project, send requirements so Aman can start the project.
Delivery time starts when Aman receives requirements from you.
Aman works on your project following the steps below.
Revisions may occur after the delivery date.
Client shares requirements & knowledge sources
(Primary users, documents/CRM exports, escalation logic, integration targets like Slack/Teams.)
Set up ingestion & vector indexing
Connect or upload internal documents, ticket history, and CRM snippets; embed into vector store.