You will get a production AI agent built with LangChain, deployed on your cloud
Top Rated
Project details
Most AI agents work in a demo and fall apart in production. They loop, they burn tokens, they call the wrong tool, and nobody can tell you why.
I build agents that hold up. Tool calling with real error handling, memory that persists between runs, retries with backoff, cost caps so a runaway loop cannot drain your budget, and tracing so you can see every step the agent took and what it cost.
WHAT YOU GET
• A working agent deployed on your cloud: AWS Lambda, GCP Cloud Run, or your own infrastructure
• Real authentication so only your systems can call it
• Evaluations that prove it does the job before you trust it with customers
• Tracing and logging you can actually read
• Documentation and a clean handover. You own the code, with no lock in to me.
BUILT ON
OpenAI, Claude, Gemini, Vertex AI, or AWS Bedrock, with LangChain or LangGraph where a framework earns its place.
WHO THIS IS FOR
Teams with an agent prototype that has to survive real users, and founders starting from scratch who want it built right the first time.
Top Rated Plus senior engineer, 6,400+ hours on Upwork.
Message me with what you want the agent to do and I will tell you honestly whether this scope fits.
I build agents that hold up. Tool calling with real error handling, memory that persists between runs, retries with backoff, cost caps so a runaway loop cannot drain your budget, and tracing so you can see every step the agent took and what it cost.
WHAT YOU GET
• A working agent deployed on your cloud: AWS Lambda, GCP Cloud Run, or your own infrastructure
• Real authentication so only your systems can call it
• Evaluations that prove it does the job before you trust it with customers
• Tracing and logging you can actually read
• Documentation and a clean handover. You own the code, with no lock in to me.
BUILT ON
OpenAI, Claude, Gemini, Vertex AI, or AWS Bedrock, with LangChain or LangGraph where a framework earns its place.
WHO THIS IS FOR
Teams with an agent prototype that has to survive real users, and founders starting from scratch who want it built right the first time.
Top Rated Plus senior engineer, 6,400+ hours on Upwork.
Message me with what you want the agent to do and I will tell you honestly whether this scope fits.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI-Generated Code, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$799
|
Standard
$1,599
|
Advanced
$2,599
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 15 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 |
Optional add-ons
You can add these on the next page.
Extra tool integration
+$400
Custom MCP server
+$600
Rush delivery (half the time)
+$800Frequently asked questions
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JR
Justin R.
Nov 10, 2025
Deploy real-time ML scoring model in Vertex AI and build scoring pipeline orchestration in GCP
My company worked with Sidath for over 9 months. He displayed the utmost professionalism and on-time delivery. His communication is excellent and commitment to solving the problem is high. He is very responsive when critical needs are flagged.
Based on my direct experience, I would recommend him for:
- Python based data engineering
- Python based ML applications
- Java-based backend engineering
He is a creative problem solver and you can give him open-ended tasks and expect good results. I recommend him without reservation.
Based on my direct experience, I would recommend him for:
- Python based data engineering
- Python based ML applications
- Java-based backend engineering
He is a creative problem solver and you can give him open-ended tasks and expect good results. I recommend him without reservation.
RM
Robert M.
Nov 3, 2025
Fixup bugs in summarize.py
JH
Jason H.
Apr 1, 2025
Pulling Ad Post Comments from Facebook Automation
NH
Noah H.
Feb 22, 2025
Troubleshoot application / zaps
Ranmal is an excellent and talented developer. They're very easy to work with. I highly recommend!
NH
Noah H.
Feb 3, 2025
Build a Barcode/QR/OCR scan plugin for Bubble.io
About Sidath
Senior Software Engineer | AI Agent Developer | AI Automation & APIs
100%
Job Success
Galle, Sri Lanka - 12:58 am local time
🌟 Top Rated Plus | 100% Job Success | 6,400+ Hours | 7+ Years Experience
🌍 Flexible US / EU / AU Time Zone Coverage | NDA Ready
Most AI projects don't fail at the demo. They fail the first week they meet real traffic, real users, and real data. That gap between prototype and production is what I do.
WHAT I BUILD
✅ AI agents that actually run in production
I build agents with tool calling, memory, retries, cost controls, evaluations, and tracing, so you can see what the agent did, why, and what it cost.
I build single-agent and multi-agent orchestration, deployed on AWS Lambda, GCP Cloud Run, or your own infrastructure, authenticated so only authorized systems reach them. Built on OpenAI, Claude, Gemini, Vertex AI, or AWS Bedrock.
✅ Deploying and securing agent harnesses
Running OpenClaw or Hermes Agent? They run shell commands and reach your files, messages, and credentials. I self-host them hardened: Docker sandboxing (non-root, read-only root filesystem, dropped capabilities, network limits), credentials in Vault or AWS Secrets Manager instead of plaintext, per-session scoped tool execution, and audit logging.
For Claude Cowork and Claude Code, I point them at your own inference on Bedrock, Vertex AI, or Azure AI Foundry with a vetted MCP allowlist and custom Agent Skills.
✅ RAG systems and AI integration into your existing product
Document Q&A, knowledge base search, and chat over enterprise data: chunking, embeddings, vector search, reranking, and citations.
I also build custom MCP servers so your internal tools and databases connect to Claude, ChatGPT, or your own agents with real auth and audit trails, not raw API keys.
✅ Production hardening AI-generated MVPs
Built your application with Cursor, Claude Code, Lovable, Bolt, or Replit? I secure it with authentication, Row Level Security, rate limiting, secrets management, and prompt injection protection.
I fix performance and deploy it to handle hundreds or thousands of users on your cloud.
✅ Taking over stalled, inherited, or half-built applications
Project stuck? Developer gone? Backend half-finished in Python, Node.js, or Java? I take it over and ship it. Strongest with AWS and GCP, solid with Azure.
✅ Automation that outgrew Zapier, Make, and n8n
When no-code platforms hit their limits, I build secure custom backends for complex business logic, third-party database validation, high-volume API processing, guest and user validation flows, and custom PDF generation from HTML templates.
Then I wire them back into your n8n, Zapier, or Make workflows so you keep what works. If it has an API, it can be automated.
HOW I WORK
1. Short scoping call or chat.
2. Fixed-price milestones with defined deliverables.
3. Clean handover: documented, deployed, fully yours.
🧩 TECH I WORK WITH
AI & Agents
OpenAI, Claude, Gemini, Vertex AI, AWS Bedrock, LangChain, LangGraph, MCP (Model Context Protocol), RAG, Pinecone, pgvector, multi-agent systems, evaluations and tracing, prompt and context engineering
Agent Harnesses & Runtimes
OpenClaw, Hermes Agent, Claude Cowork, Kimi Claw, Manus, Claude Code, Cursor, CrewAI, AG2, Dify, Browser Use, Stagehand, Browserbase, Playwright MCP, custom Agent Skills and MCP servers
Voice AI & Media
Vapi, Retell, Bland, ElevenLabs, Whisper, speech-to-text, text-to-speech, image and video generation
Automation
n8n, Zapier, Make, Airtable API, Typeform, Jotform, ClickUp API, Notion, Slack
Backend
Python (FastAPI, Flask, Django), Java (Spring, Spring Boot), Node.js, JavaScript, TypeScript
Frontend & Mobile
React, Next.js, React Native (Expo), with OTA updates for iOS and Android
Cloud & DevOps
AWS (Lambda, EC2, S3, CloudFront, CloudWatch, Cognito, SES, Bedrock), GCP (Cloud Run, Vertex AI, BigQuery), Azure App Service, Docker, CI/CD
Data
Supabase (with Row Level Security), PostgreSQL, MongoDB, Firestore, BigQuery, MySQL
Integrations
Stripe, Shopify, HubSpot, Dialpad API, SmartLead, Apollo, Clay
📦 RECENT WORK
A Zapier-triggered service that runs correlation analysis and generates custom PDF reports from HTML templates.
A resume parsing API that extracts work history, skills, and contact details from any CV in one request.
A scheduled AWS service that checks for pending work and runs the jobs on a timer.
An end-to-end model training pipeline on Vertex AI, automated from data ingestion to deployment.
Clients hire me as an AI agent developer, AI automation engineer, AI integration developer, or AI consultant. I work in whatever stack your codebase uses.
Preferred: Fixed-price, milestone-based, or retainer engagements. Also open to hourly projects, especially for engagements over 25-30+ hours/week.
Steps for completing your project
After purchasing the project, send requirements so Sidath can start the project.
Delivery time starts when Sidath receives requirements from you.
Sidath works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff and access
Confirm scope, agree the task list, and get access to your cloud and APIs.
Agent design and tool definitions
Map the decision flow and define each tool the agent can call.