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You will get Generative AI Integration with FastAPI & AWS

Mohit k.Status: Offline
Mohit k. Mohit k.
4.9
Preview image

Let a pro handle the details

Buy Generative AI services from Mohit, priced and ready to go.
Mohit k.Status: Offline
Mohit k. Mohit k.
4.9
Preview image

Let a pro handle the details

Buy Generative AI services from Mohit, priced and ready to go.

Project details

The goal of this project was to design and implement a scalable Generative AI solution that integrates Large Language Models (LLMs) into an existing backend system using FastAPI, Python, and AWS services. The solution automates intelligent content generation, data summarization, and conversational capabilities for enterprise workflows.
AI Algorithms
Convolutional Neural Network, Large Language Model, Multimodal Large Language Model, Regression Analysis
AI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI-Generated Art, AI-Generated Code, AI-Generated Music, Automatic Speech Recognition, Conversational AI, Natural Language Understanding, Synthetic Data Generation
AI Development Language
Python
AI Tools
Azure OpenAI, Copy.ai, GitHub Copilot, Gradio, Hugging Face, PyTorch
AI Models
BERT, BLOOM, ChatGPT, DALL-E, GPT-3, GPT-4, LLaMA, OpenAI Codex, Whisper
What's included
Service Tiers Starter
$500
Standard
$1,500
Advanced
$4,000
Delivery Time 3 days 5 days 7 days
Number of Revisions
335
AI Model Integration
Batch Normalization
Database Integration
Detailed Code Comments
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Image Upscaling
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MLOps
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Model Deployment
Model Documentation
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Model Monitoring
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Model Testing & Optimization
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Model Tuning
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Natural Language Processing
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NLP Tokenization
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Pre-Training
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Prompt Engineering
Setup File
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$100 - $400
Additional Revision
+$200
Custom AI Model Fine-tuning (+ 3 Days)
+$500
Ongoing Maintenance & Monitoring (+ 3 Days)
+$200
Conversational AI / Chatbot Integration
+$800
4.9
10 reviews
90% Complete
(9)
10% Complete
(1)
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)

NP

Naveed P.
5.00
Dec 14, 2022
Urgently Require Node Expert to setup and customize a Module Working with Mohit was a great and stress-free experience. He has completed the project to a high standard and within the deadline. He was always willing to go extra mile to make it a success. Thanks. and all the best :)

AT

Albert T.
5.00
May 28, 2021
Configure AWS to prevent HTTP smuggling issue Get the job done fast. Technically strong and experienced

DS

Daniel S.
5.00
Apr 8, 2021
node.js Script for AWS Lambda to Delete Unattached EC2 Volumes Mohit was fantastic. He worked quickly, asked me for an important clarification, and his code worked the first time with no issues. Excellent work!

FĆ

Faruk Ć.
4.10
Jun 12, 2018
Create small school Web project in MEAN (MongoDB, ExpressJS, Angular I, NodeJS) technology stack

HB

Haris B.
5.00
Jun 10, 2018
Deployment of web application
Mohit k.Status: Offline

About Mohit

Mohit k.Status: Offline
Senior Backend Engineer | Node.js, AWS, Kafka | AI-Integrated Systems
100% Job Success
4.9  (10 reviews)
Kanpur, India - 6:18 pm local time
I build backend systems that handle scale without breaking — event-driven architectures on Node.js and AWS, with Kafka powering real-time data pipelines, and Bedrock/LLM integration where AI adds real value (not just for buzzwords).
12+ years designing and shipping production backend systems for startups and enterprises. Recent focus: combining traditional backend engineering with AI-powered automation — the kind that actually reduces manual work, not just demos well.
What I build:
• Node.js backend systems — REST/GraphQL APIs, microservices, event-driven architecture, built for reliability under real production load
• Kafka-based data pipelines — real-time event streaming, message queues, and async processing for systems that can't afford data loss or downtime
• AWS infrastructure — Lambda, Step Functions, DynamoDB, S3, serverless architecture, CI/CD (AWS Certified Solutions Architect)
• AI/LLM integration where it matters — AWS Bedrock, LangChain, RAG pipelines for document processing, summarization, and workflow automation
Recent work:
• Built an event-driven order processing pipeline using Node.js + Kafka + AWS Lambda, handling 10K events/day with sub-second latency
• Migrated a monolithic backend to microservices on AWS, cutting deployment time by 20% and reducing downtime incidents
• Integrated AWS Bedrock into an existing Node.js backend to automate document classification, replacing a manual review process and cutting turnaround time by 50%
I write clean, maintainable code and communicate clearly on scope, timelines, and tradeoffs — no surprises mid-project.
Tech stack: Node.js | Express/NestJS | AWS (Lambda, Kafka/MSK, DynamoDB, Step Functions, S3) | AWS Bedrock | LangChain | PostgreSQL/MongoDB | Docker | CI/CD

Steps for completing your project

After purchasing the project, send requirements so Mohit can start the project.

Delivery time starts when Mohit receives requirements from you.

Mohit works on your project following the steps below.

Revisions may occur after the delivery date.

Requirement Gathering & Analysis

Review the work, release payment, and leave feedback to Mohit.