You will get a customer support AI Agent fine tuned on your data
Top Rated
Project details
You will get an AI customer support agent with full admin control over models, behavior, greetings, escalation rules, and human takeover. The system supports RAG-based grounding, reliable responses, multi-platform deployment, and scalable cloud setup for real production use.
Purpose
BusinessIndustry
Architecture & Interior Design, Beauty & Cosmetics, Biotech, Business Services & Consulting, Cryptocurrency & Blockchain, Ecommerce, Engineering, Events Planning, Fashion & Apparel, Financial Services, Food & Beverage, Gaming, Government & Public Sector, Hardware & Electronics, Lifestyle, Logistics & Supply Chain Management, Manufacturing & Storage, Marketing & Advertising, Media & Entertainment, Medical & Pharmaceutical, Photography, Real Estate, Religion & Spirituality, Retail & Wholesale, Software, Sports & Fitness, Telecommunications, Transportation & Automotive, Travel & Tourism, Wellness, Writing & PublishingLanguage
EnglishWhat's included
| Service Tiers |
Starter
$2,000
|
Standard
$3,000
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 7 days | 15 days | 30 days |
Number of Hours of Work | 30 | 90 | 152 |
Scriptwriting | |||
Summary Report | - | ||
Social Media Replies | - | ||
Email Support | - | - | |
Live Chat Support | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$500 - $1,000Frequently asked questions
4 reviews
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WC
Warren C.
Mar 17, 2026
Phase 2B — Deterministic Personality Module (Make + React Integration)
Gagan was a pleasure to work with. He was professional, patient, responsive, and consistently willing to think through both the technical side of the project and the product experience we were trying to create.
This was not a simple “build exactly what’s written once and done” type of job. The project involved a lot of iterative logic, edge cases, deterministic behavior requirements, UI/content adjustments, and documentation needs. Gagan stayed engaged throughout, communicated clearly, and handled feedback in a calm and constructive way.
I especially appreciated that he took the time to explain technical decisions in a way that was easy to follow. He also provided updates as work progressed and was willing to document the system so it would be easier to understand and maintain later.
Overall, Gagan was thoughtful, cooperative, and genuinely helpful to work with. I’d be happy to work with him again.
This was not a simple “build exactly what’s written once and done” type of job. The project involved a lot of iterative logic, edge cases, deterministic behavior requirements, UI/content adjustments, and documentation needs. Gagan stayed engaged throughout, communicated clearly, and handled feedback in a calm and constructive way.
I especially appreciated that he took the time to explain technical decisions in a way that was easy to follow. He also provided updates as work progressed and was willing to document the system so it would be easier to understand and maintain later.
Overall, Gagan was thoughtful, cooperative, and genuinely helpful to work with. I’d be happy to work with him again.
WC
Warren C.
Jan 27, 2026
JMBN - Phase 2A Frontend Build
I hired Gagan to build the Phase 2A frontend for my app and had a great experience working with him. He quickly understood what the project needed, asked smart questions, and delivered a clean, fully working implementation that matched the requirements.
Everything behaved the way it should. The multi-page flow, browser back-button handling, URL sharing, loading transitions, input validation, and GA4 analytics integration. He also handled Make.com webhook communication without issues.
Gagan provided proper documentation, including how to run and build the project, deploy on Vercel, handle environment variables, and understand the Make API contract. That level of organization makes future updates much easier and isn't something every developer takes the time to do.
Communication was always clear and professional, and he stayed engaged during QA to fix device-specific issues and UX polish items without pushback or excuses. He was responsive, easy to work with, and respectful of constraints.
Overall, I'm very happy with the results. If you're looking for a reliable frontend engineer who writes clean code, communicates well, and delivers a polished handoff, I definitely recommend Gagan.
Everything behaved the way it should. The multi-page flow, browser back-button handling, URL sharing, loading transitions, input validation, and GA4 analytics integration. He also handled Make.com webhook communication without issues.
Gagan provided proper documentation, including how to run and build the project, deploy on Vercel, handle environment variables, and understand the Make API contract. That level of organization makes future updates much easier and isn't something every developer takes the time to do.
Communication was always clear and professional, and he stayed engaged during QA to fix device-specific issues and UX polish items without pushback or excuses. He was responsive, easy to work with, and respectful of constraints.
Overall, I'm very happy with the results. If you're looking for a reliable frontend engineer who writes clean code, communicates well, and delivers a polished handoff, I definitely recommend Gagan.
WC
Warren C.
Jan 3, 2026
Finish Backend Logic for AI Scoring App (Make.com + OpenAI + Framer)
Gagan was excellent to work with from start to finish. He approached the project thoughtfully, communicated clearly, and took the time to understand some very specific requirements around determinism, system boundaries, and long-term maintainability.
When issues surfaced during testing, he handled them professionally—identifying root causes, explaining tradeoffs clearly, and resolving them without hesitation. He was responsive, careful with scope, and demonstrated strong backend and architectural judgment.
The final documentation was clear and well-structured, making the system easy to understand and extend in future phases. I would absolutely work with Gagan again and would recommend him to clients who value rigor, clarity, and reliable execution.
When issues surfaced during testing, he handled them professionally—identifying root causes, explaining tradeoffs clearly, and resolving them without hesitation. He was responsive, careful with scope, and demonstrated strong backend and architectural judgment.
The final documentation was clear and well-structured, making the system easy to understand and extend in future phases. I would absolutely work with Gagan again and would recommend him to clients who value rigor, clarity, and reliable execution.
EP
Ezra P.
Oct 30, 2025
V. DEVELOPER for dating site
This freelancer is dedicated to his trade, is knowlegdeable and willing to go the extra mile to build long term partnerships with his clients. If you have any doubts about any of your prospects and you landed here, let this be a sign that you need to look no further
About Gagan
AI Engineer | Generative AI, LLM Apps, AI Agents, Automation, Chatbots
100%
Job Success
Mangalore, India - 9:56 am local time
Most AI projects don't fail because of bad ideas…
They fail because the architecture, agent design, or backend wasn't built to scale from day one.
𝐈𝐟 𝐲𝐨𝐮'𝐫𝐞 𝐬𝐭𝐫𝐮𝐠𝐠𝐥𝐢𝐧𝐠 𝐰𝐢𝐭𝐡:
➤ AI prototypes that never make it to production
➤ RAG systems returning irrelevant or slow results
➤ Backend APIs crumbling under real traffic
➤ LLM integrations with no reliability or traceability
➤ Disconnected microservices and brittle async pipelines
👉 𝐘𝐨𝐮'𝐫𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐩𝐥𝐚𝐜𝐞.
I'm a production AI Engineer specialising in agentic systems and GenAI platforms with ~2 years shipping real products used by real users at scale. I own the full stack: system design → AI engineering → containerised cloud deployment.
➤ 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝
➤ Agentic AI Systems (LangGraph, LangChain, LlamaIndex)
➤ Multi-Tenant RAG Architectures (FAISS, ChromaDB, Pinecone)
➤ High-Concurrency Async Pipelines (FastAPI, Celery, BullMQ, Redis)
➤ AI-Powered SaaS Platforms (multi-tenant, production-ready)
➤ LLM Integrations & Custom AI Agents
➤ REST APIs & Microservices (Node.js, Django, Express)
➤ Cloud Infrastructure (AWS, GCP, Docker, Kubernetes)
➤ 𝐑𝐞𝐚𝐥 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 𝐈'𝐯𝐞 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝
➤ Cut AI match latency from 3.2s → under 1.5s (53% faster)
➤ Scaled async pipelines to 650 concurrent jobs (60% increase)
➤ 99.4% uptime over 6 months in production
➤ Built compliance APIs handling 50,000+ transactions/day
➤ Resolved 74% of support tickets autonomously with an agentic bot
➤ 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤
Python, FastAPI, LangChain, LangGraph, LlamaIndex, OpenAI, FAISS, ChromaDB, Pinecone, PostgreSQL, Redis, Docker, Kubernetes, AWS, GCP, React.js, Node.js
➤ 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐆𝐞𝐭
➤ Production-grade AI — not just demos or prototypes
➤ Sub-1.5s latency and 99%+ uptime as the baseline, not the goal
➤ Clean, auditable, maintainable code with full test coverage
➤ End-to-end ownership from design to deployment
➤ Reliable communication and long-term partnership
Most developers build features.
I build AI systems that scale, stay up, and deliver measurable business outcomes.
📩 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐟𝐨𝐫 𝐚 𝐟𝐫𝐞𝐞 𝐚𝐮𝐝𝐢𝐭 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐨𝐫 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐬𝐲𝐬𝐭𝐞𝐦, 𝐈'𝐥𝐥 𝐦𝐚𝐩 𝐨𝐮𝐭 𝐞𝐱𝐚𝐜𝐭𝐥𝐲 𝐰𝐡𝐚𝐭 𝐧𝐞𝐞𝐝𝐬 𝐭𝐨 𝐛𝐞 𝐟𝐢𝐱𝐞𝐝 𝐚𝐧𝐝 𝐡𝐨𝐰.
Steps for completing your project
After purchasing the project, send requirements so Gagan can start the project.
Delivery time starts when Gagan receives requirements from you.
Gagan works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preparation
We will start by preparing your chatbot datasets for fine-tuning. This includes data cleaning, formatting, and establishing the training-validation split. Please provide the data in CSV, JSON, or XML formats.
Cloud Deployment Plan
Selecting the appropriate cloud plan/GPU resources based on your chatbot’s expected usage and user base growth. We will need details about your cloud platform, current infrastructure, and user base estimates to tailor the deployment strategy.