You will get AI features built into your existing product
Rising Talent
Rising Talent
Project details
Have a product already and want to add AI to it the right way? I integrate LLM features into existing web
apps: a chat assistant, document summarization, content generation, semantic search, smart replies, or
an AI step inside your current workflow. The work goes beyond wiring up an API. I handle the prompts,
the retrieval, the error handling, and the cost control that make an AI feature reliable in production
instead of a demo that breaks on real input. Backend and frontend both covered, Python or Node, React
or Next.js. You get a feature your users can actually depend on.
apps: a chat assistant, document summarization, content generation, semantic search, smart replies, or
an AI step inside your current workflow. The work goes beyond wiring up an API. I handle the prompts,
the retrieval, the error handling, and the cost control that make an AI feature reliable in production
instead of a demo that breaks on real input. Backend and frontend both covered, Python or Node, React
or Next.js. You get a feature your users can actually depend on.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, Automatic Speech Recognition, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$399
|
Standard
$999
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 5 days | 12 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 |
Frequently asked questions
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AK
Akshay K.
Aug 19, 2026
AI Engineer for a Multi-Agent RAG Assistant over our internal docs
Ashwani built us a multi-agent AI assistant that answers from our own documents. He set up the whole RAG pipeline and the retrieval, and answers come back with the sources cited so we can actually trust them. Clear communication throughout and he delivered on time. He really knows his way around LLMs and RAG. Would definitely hire again.
DE
Denzil E.
Feb 3, 2024
Full Stack Software Development
DE
Denzil E.
Nov 4, 2022
Chrome Extension & Webapp
AG
Avraham David G.
Dec 21, 2020
BB Project
TB
Troy B.
Jul 28, 2020
angular work
Timely work and good results. Would use again. Met all deadlines and even did some weekend work that was required.
About Ashwani
Senior AI Engineer | Multi-Agent Systems, RAG Pipelines & LLM Apps
100%
Job Success
Mohali, India - 3:53 am local time
Most of my work is taking an AI idea that works in a demo and turning it into something production ready. That means the retrieval is accurate, the agents do not go off the rails, the costs stay under control, and it holds up when real users hit it. Not a proof of concept. A system you can put in front of customers.
What I build:
- Multi-agent AI systems, a set of agents that plan, retrieve, act, and check each other's work
- RAG pipelines, chat with your documents, knowledge bases, answers with cited sources
- AI chatbots and assistants for support, sales, and internal teams
- LLM features integrated into existing SaaS products
- OpenAI and Claude integrations, with the prompt and retrieval work that makes them reliable
How I work:
I ask what the AI actually needs to do before writing any code, because most AI projects fail on unclear scope, not on the model. You get progress you can see every few days, honest calls on what will and will not work, and a clean handover at the end, not a black box.
Good fit if:
- You have an AI feature that works in a notebook and needs to become a real product
- You want an assistant that answers from your own data, accurately, with sources
- You need multi-agent or RAG work done by someone who has shipped it before
- A previous developer got you halfway and you need someone to take ownership
Tell me what you are building. I will give you a straight read on the approach, the risks, and what it will take.
Steps for completing your project
After purchasing the project, send requirements so Ashwani can start the project.
Delivery time starts when Ashwani receives requirements from you.
Ashwani works on your project following the steps below.
Revisions may occur after the delivery date.
Project Kickoff
Review your requirements, documents, and project goals.
Scope and Approach
Confirm the feature, the data, and the model, and share a short build plan.