You will get a scalable AI MVP (2–4 week delivery) with core features and deployment
Top Rated
Top Rated
Project details
You will get a fully functional, scalable AI MVP that’s designed, built, and deployed in just 2–4 weeks. With over 8 years of experience in AI/ML, NLP, and full‑stack deployment, I specialize in turning complex ideas into production‑ready solutions fast.
What sets this project apart is my ability to integrate custom AI features like LLM chat interfaces, real-time voicebots (STT/TTS), and prompt-engineered workflows into a clean, modular backend—ready for scale from day one. Every MVP includes a landing page, core AI features, and monitoring, plus optional support for post-launch updates.
If you're a startup or founder looking to validate your idea quickly and professionally—with no shortcuts on quality—you’re in the right place. The work I deliver is scalable, secure, and aligned to your business goals from day one.
What sets this project apart is my ability to integrate custom AI features like LLM chat interfaces, real-time voicebots (STT/TTS), and prompt-engineered workflows into a clean, modular backend—ready for scale from day one. Every MVP includes a landing page, core AI features, and monitoring, plus optional support for post-launch updates.
If you're a startup or founder looking to validate your idea quickly and professionally—with no shortcuts on quality—you’re in the right place. The work I deliver is scalable, secure, and aligned to your business goals from day one.
AI Algorithms
Autoencoder, Multimodal Large Language Model, Transformer Model, YOLOAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Generated Art, AI-Generated Video, AIOps, Conversational AIAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, PyTorchAI Models
GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$5,000
|
Standard
$10,000
|
Advanced
$15,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | - | |
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | |||
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | - | |
Model Tuning | - | ||
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | ||
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$500Frequently asked questions
9 reviews
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EG
Edgar G.
Dec 24, 2025
Backend API Engineer for OpenAI LLM and Generative AI Prompt
Thanks for your support
AC
Alex C.
Aug 4, 2025
AI/ML Engineer for Large Language Model Integration and Backend Development
Abhishek delivered production-ready AI infrastructure for our platform, integrating multiple LLMs (GPT-4, Claude), vector search with Qdrant, memory persistence, and agent orchestration. He built smart intent routing, adaptive curriculum flows, and an automated ticketing system—all with full test coverage. His backend work using FastAPI, LangChain, and tracing/logging systems was top-tier. Highly recommended for complex AI/LLM systems.
SP
Saji P.
Aug 7, 2024
RASA Model Conversation Search
I had great experience with Abhishek. He has complete the project within the time frame and also help me understand the changes which is very helpful for me I would like recommend him to all my future projects
OT
Omer T.
Aug 5, 2024
LLM Generation with Graph Prompt Tuning
Abhishek delivered great job in this project and I enjoyed working with him.
CB
Cassius B.
Jul 25, 2024
Run Ollama LLM locallly through Fabric framework
Abhishek was wonderful. He made the process of setting up/integrating Ollama with Fabric very easy! He even dedicated 5 hours of his own time just to make sure that we only spent an hour setting up. Would definitely work with again and would recommend him to anyone.
About Abhishek
Fable 5 Expert | Voice AI | Agentic AI
94%
Job Success
Gwalior, India - 10:15 pm local time
I build production AI agents — not demos. Voice agents that handle real customer calls, autonomous agent systems (OpenClaw, Hermes) that run business operations, and Claude (Fable 5) powered workflows that ship in hours.
I'm Abhishek Singh Kushwah, an AI Solutions Architect with 9+ years building AI-first products for US and global clients.
𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗:
✔ 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 (my core specialty)
Production voice agents on ElevenLabs, Vapi, and custom stacks — inbound/outbound calls, lead qualification, appointment booking
Multilingual agents (English, Hindi, and more) with persona design, register control, and TTS pronunciation tuning
WhatsApp Business API integration: voice + chat agents deployed where your customers already are
Battle-tested in production: I've debugged the failure modes others haven't seen yet — identity drift, tool-call narration leaks, register switching
✔ 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
Full deployment of agent frameworks — OpenClaw, Hermes, and custom stacks: server setup, security hardening, channel integration (WhatsApp, Telegram, Slack)
Multi-agent business operating systems: specialized agents (ops, finance, PM) on shared knowledge and memory
Agent memory architectures: graph memory (Hindsight), vector stores, long-running reliability
MCP-connected workflows with Activepieces/n8n automation
✔ 𝗖𝗹𝗮𝘂𝗱𝗲 (𝗙𝗮𝗯𝗹𝗲 𝟱) & 𝗟𝗟𝗠 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴
Advanced prompt architecture: 500+ line production system prompts with conditional logic and locked behaviors
Claude API, Claude Code, and subagent/parallel execution patterns
RAG pipelines, fine-tuning, and self-hosted LLMs (Llama, Mistral via vLLM/Ollama) when privacy demands it
✔ 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗥𝗲𝗮𝗱𝘆 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆
Backend: FastAPI, PostgreSQL, vector DBs (Qdrant, Weaviate)
Cloud & MLOps: AWS (incl. security controls for enterprise review), Docker, CI/CD
SAP and legacy system integration experience — I can talk to your CTO
𝗪𝗛𝗬 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗥𝗘𝗛𝗜𝗥𝗘 𝗠𝗘:
I ship working systems in 2–4 week sprints, with docs and handoff — you own everything
I've sat on the enterprise side of the table: security reviews, CTO objections, integration architecture
100% Job Success across 15 contracts and 1,100+ hours says more than any pitch
Ready to put a working AI agent in production? Message me or book a consultation — let's scope it in 30 minutes.
Steps for completing your project
After purchasing the project, send requirements so Abhishek can start the project.
Delivery time starts when Abhishek receives requirements from you.
Abhishek works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering & Scope Finalization
We’ll define the core features, use cases, target users, and technical expectations. I’ll also review any materials or references you provide.
Architecture Planning & Design Setup
I’ll create a modular, scalable architecture for your MVP, including a basic UI layout, API structure, and database design.