You will get a custom AI agent that automates repetitive work
Project details
If your team loses hours every week to the same manual task (moving data between tools, tagging tickets, pulling info out of documents), that's exactly what an AI agent should do instead of a person.
Take one repetitive workflow off your plate and have it run on its own, so your people get that time back for work that needs them.
I build custom AI agents that string together the steps you do by hand. That means a few tool integrations, an LLM step where judgment is needed, and guardrails so it doesn't go off the rails. I've built an LLM-powered pipeline for an enterprise client that auto-generates test cases and uses models to find and debug failures, so production-grade agent work is my home turf.
How I'd approach yours: I map the process first, work out where an LLM genuinely helps and where it shouldn't touch anything, then build and test against your real examples before it goes near live work.
I'm newer on Upwork and putting everything into getting these first jobs right. We can start with a small milestone you release only once it works. More of my work is in my portfolio.
Tell me the task eating your team's time and I'll tell you honestly if an agent can handle it.
Take one repetitive workflow off your plate and have it run on its own, so your people get that time back for work that needs them.
I build custom AI agents that string together the steps you do by hand. That means a few tool integrations, an LLM step where judgment is needed, and guardrails so it doesn't go off the rails. I've built an LLM-powered pipeline for an enterprise client that auto-generates test cases and uses models to find and debug failures, so production-grade agent work is my home turf.
How I'd approach yours: I map the process first, work out where an LLM genuinely helps and where it shouldn't touch anything, then build and test against your real examples before it goes near live work.
I'm newer on Upwork and putting everything into getting these first jobs right. We can start with a small milestone you release only once it works. More of my work is in my portfolio.
Tell me the task eating your team's time and I'll tell you honestly if an agent can handle it.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Content Creation, AIOps, Conversational AI, Natural Language UnderstandingAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$120
|
Standard
$400
|
Advanced
$1,100
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 18 days |
Number of Revisions | 2 | 3 | 4 |
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
About Somesh
AI Engineer | RAG, LLM & AI Agents | Anthropic Certified | Next.js
Hyderabad, India - 7:22 am local time
I'm an AI and LLM engineer, and I'm full-stack in Python (FastAPI) and Next.js/React, so I can take an AI feature from a rough idea to a deployed product. I'm also Anthropic Claude Certified, and you'll find real, shipped work of mine in the portfolio below.
A few things I've built:
- A RAG chatbot (FastAPI + Qdrant) that answers straight from your own documents, with sources you can check and no made-up answers.
- An LLM-powered code testing system (Dockerized Python + Next.js) for an enterprise legal-tech team that auto-generates test cases and uses LLMs to find and debug failures.
- A privacy-first desktop app that transcribes and summarizes meetings fully on-device (Whisper, Pyannote, local SLMs), so no audio ever leaves the machine.
- A real-time dictation tool that turns speech into clean text in under a second, completely offline.
What I can do for you:
- RAG systems and AI chatbots over your docs, PDFs, or knowledge base (LangChain, vector DBs, OpenAI/Claude)
- AI agents and workflow automation (n8n, API integrations, multi-step pipelines)
- LLM features inside your app, plus the FastAPI and Next.js backend and frontend to run them
- LLM evaluation and testing, catching edge cases and wrong answers before your users do
- On-device, privacy-first AI for when your data can't go to the cloud
How I work: I pin down scope up front and keep you updated as I go, and I leave you clean, documented code you can maintain after the project ends. I care about systems that survive production, and I'm security-minded, having found and responsibly disclosed real auth vulnerabilities.
I'm newer here on Upwork, so I'm genuinely out to earn my first strong reviews. That means I'll be all in on getting your project right. If you're building an AI feature, a chatbot, or an automation, send me a short brief and I'll tell you honestly how I'd approach it. I usually reply within a few hours.
Steps for completing your project
After purchasing the project, send requirements so Somesh can start the project.
Delivery time starts when Somesh receives requirements from you.
Somesh works on your project following the steps below.
Revisions may occur after the delivery date.
Show me the manual process
You walk me through the task you keep doing by hand, the tools involved, and what a good result looks like. Real examples help me far more than a written spec.
I map the workflow
I sketch out the steps, where an LLM genuinely helps, and where it shouldn't touch anything. You see the plan before I build, so there are no surprises later.