You will get AI Recommendation & Conversational Commerce Engine
Top Rated

Top Rated

Project details
This project goes beyond a basic chatbot or static recommendation engine. I build production-oriented AI systems that combine RAG pipelines, LLM-powered reasoning, vector search, and conversational workflows to create intelligent shopping experiences that adapt in real time.
includes:
• AI recommendation engine
• Conversational shopping assistant
• RAG pipeline with vector search
• Fine-tuning/prompt optimization workflow
• Basic analytics & monitoring dashboard
• Real-time shopper intent handling
What makes this different is the focus on production readiness:
• explainable recommendations
• hallucination reduction
• scalable architecture
• cost-aware AI orchestration
• secure API-first design
• modular deployment approach
The system is designed to integrate with your product catalog, APIs, customer signals, and business workflows while remaining flexible for future scaling into multi-agent automation, advanced analytics, and enterprise AI operations.
includes:
• AI recommendation engine
• Conversational shopping assistant
• RAG pipeline with vector search
• Fine-tuning/prompt optimization workflow
• Basic analytics & monitoring dashboard
• Real-time shopper intent handling
What makes this different is the focus on production readiness:
• explainable recommendations
• hallucination reduction
• scalable architecture
• cost-aware AI orchestration
• secure API-first design
• modular deployment approach
The system is designed to integrate with your product catalog, APIs, customer signals, and business workflows while remaining flexible for future scaling into multi-agent automation, advanced analytics, and enterprise AI operations.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Enhanced Classification, Conversational AI, Natural Language Generation, Object Detection, Text RecognitionAI Development Language
PythonAI Tools
PyTorchAI Models
ChatGPT, GPT-4, WhisperWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$2,500
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 7 days | 15 days | 45 days |
Number of Revisions | 1 | 5 | 10 |
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 |
10 reviews
(8)
(1)
(0)
(0)
(1)
This project doesn't have any reviews.
PS
Priyabrata S.
Feb 26, 2026
RAG Layer Optimization for EdTech AI Platform (LLM + Retrieval Tuning)
I had a great working relationship with Amit. He showed a great deal of technical expertise, professionalism, and dedication to producing high-quality work. Throughout the project, there was excellent communication, and he made sure that every requirement was understood and appropriately handled.
Amit paid great attention to detail and delivered the System Study and Optimization document on schedule. I would not hesitate to suggest him to other customers in need of a trustworthy and knowledgeable expert.
Amit paid great attention to detail and delivered the System Study and Optimization document on schedule. I would not hesitate to suggest him to other customers in need of a trustworthy and knowledgeable expert.
SJ
Sagar J.
Dec 23, 2025
Fix Qwen 7B SFT Training Error on Local Machine (Quick Script Debug)
Amit quickly diagnosed and fixed my local Qwen 7B SFT training error by debugging the script and configuration. Communication was clear and fast, and he ensured the training ran successfully end-to-end on my machine. Highly recommend for ML/LLM troubleshooting and quick, reliable fixes.
PS
Priyabrata S.
Dec 15, 2025
Optimize React Native App Bundle Size to Meet Google’s 16 KB Critical/Page Size Requirement
Excellent work from Amit. Very professional, responsive, and detail-oriented. The work was completed as per requirements with high quality and smooth communication throughout. Would happily rehire for future projects.
JZ
Jz Z.
Nov 9, 2025
Develop JZ Wellness Social Platform with AI Health Checker
The project was not completed as agreed. Key features and working app builds were not delivered, so I am unable to recommend this freelancer based on my experience.
PS
Priyabrata S.
Jun 21, 2025
Health and Wellness App - Crash Fix Production issue - Immediate Support
Amit was incredibly helpful during a time-sensitive production issue across both our Android and iOS apps. He jumped in immediately, identified the root cause quickly, and delivered a reliable fix all with clear, consistent communication.
His professionalism and calm approach under pressure were impressive. It’s rare to find someone who combines technical expertise with such accountability and responsiveness.
I would absolutely work with Amit again and highly recommend him to anyone needing mobile app support. He played a key role in minimizing downtime for us — a true asset
His professionalism and calm approach under pressure were impressive. It’s rare to find someone who combines technical expertise with such accountability and responsiveness.
I would absolutely work with Amit again and highly recommend him to anyone needing mobile app support. He played a key role in minimizing downtime for us — a true asset
About Amit Kumar
AI Agent Developer | RAG | LangChain | LangGraph | Claude API | GenAI
100%
Job Success
Habra, India - 11:43 pm local time
I build LangChain, LangGraph, Claude API, and RAG pipelines end to end architecture, implementation, deployment, and handover.
What this means for you:
Automate internal workflows and reduce ops cost
AI assistants with citations and low hallucination
Faster decisions using your own private data
Production systems — not prototypes or demos
Scalable AI with token + infrastructure cost optimization
HIPAA, GDPR, ISO compliant architecture when required
What I build:
RAG systems (Retrieval-Augmented Generation) — vector search, semantic retrieval, document intelligence
AI agents with tool use, decision logic, and multi-step reasoning
Multi-agent agentic workflows (LangGraph, CrewAI, AutoGen)
Autonomous AI systems with planning, memory, and fallback logic
LLM fine-tuning + domain adaptation (LoRA, QLoRA, PEFT)
Voice AI agents (Vapi) — inbound calls, routing, appointment booking
SMS + communication automation (Twilio)
Computer vision + real-time surveillance detection systems
IoT data pipelines + predictive maintenance + anomaly detection
White-label AI SaaS platforms — multi-tenant, scalable, low marginal cost
NLP pipelines + document intelligence + contract analysis
Secure AI systems (PII handling, prompt injection protection, guardrails)
Real client work — production deployed:
Desun Hospital chain — patient intake AI, clinical workflow automation, secure patient-physician communication
Susrut Eye Foundation — multi-location patient management AI, appointment scheduling, medical records automation
Healthcare SaaS platform — deployed across 20+ major hospital chains in India — HIPAA compliant, EMR integrated, multi-tenant architecture
Grasim Industries (Aditya Birla Group) — manufacturing defect detection AI, linen quality inspection, factory security surveillance
Josepha.ai (Germany) — eCommerce MarTech AI, campaign performance analytics, customer intent analysis
Goodly AI — HIPAA + ISO + GDPR compliant AI platform, full compliance architecture
LegalTech startup (funded) — contract lifecycle management, legal document intelligence, AI assistant (Claude API), competing with Filevine
EdTech platform — RAG production deployment, knowledge assistant, 5★ client review
LLM fine-tuning — Qwen 7B successful training pipeline, domain adaptation
AI voice agent — white-label multi-business communication system, calls + SMS + booking
Drone AI — object detection, automated validation, auto-landing features
Indian drone technology company — computer vision for autonomous systems
Industries + AI domains:
HealthTech (HIPAA-ready systems, hospital operations, EMR/HIMS, telemedicine, patient engagement)
Mental Health AI (therapy assistants, wellness copilots, psychologist-assisted workflows)
LegalTech + CLM (contract lifecycle management, legal document intelligence, compliance automation)
HRTech (AI recruiters, employee copilots, onboarding automation, policy assistants)
E-commerce AI (recommendation systems, customer intent analysis, AI sales assistants, MarTech)
Manufacturing AI (defect detection, operations monitoring, SOP copilots, industrial automation)
Enterprise SaaS automation platforms (multi-tenant, scalable, white-label)
FinTech (secure, compliance-aware AI pipelines, fraud detection, financial intelligence)
EdTech (AI tutoring, knowledge assistants, moderation, personalized learning)
IoT + Surveillance AI (anomaly detection, edge AI, smart monitoring, real-time alerts)
DronesTech (computer vision, object detection, autonomous flight systems)
MarTech + Analytics (KPI monitoring, campaign intelligence, data pipelines, reporting automation)
Specialized AI capabilities:
RAG + vector search (Pinecone, Weaviate, Chroma, pgvector, FAISS)
Multi-agent orchestration + stateful workflows
LLM fine-tuning (Qwen, Mistral, LLaMA, LoRA, QLoRA)
Prompt engineering + chain-of-thought reasoning
AI guardrails + hallucination reduction
Prompt injection defense + PII protection
AI evaluation pipelines (accuracy + monitoring)
Cost optimization (token + infrastructure)
Compliance architecture (HIPAA, GDPR, ISO)
Multi-tenant SaaS architecture with RLS
Full observability (logging, tracing, alerting)
Tech stack:
Python, FastAPI, LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen
Pinecone, Weaviate, Chroma, pgvector, FAISS
OpenAI, Claude (Anthropic), Mistral, Llama, Gemini, Qwen
HuggingFace, Embeddings, Semantic Search
Vapi (Voice AI), Twilio (SMS + Calls), SendGrid
AWS, GCP, Azure AI, Docker,CI/CD, GitHub Actions
React, Next.js, Supabase, PostgreSQL, MongoDB
MQTT, AWS IoT, OpenCV, YOLO, Edge AI
APIs, GraphQL, JWT, OAuth, Webhooks
If you need a reliable AI system , message me with your usecase
Steps for completing your project
After purchasing the project, send requirements so Amit Kumar can start the project.
Delivery time starts when Amit Kumar receives requirements from you.
Amit Kumar works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Requirement Analysis
Review your product catalog, APIs, workflows, AI goals, and customization requirements. Final scope, timeline, and pricing may adjust based on complexity.