You will get RAG Pipeline & AI Agent Development LLM Hallucination Mitigation Deployment
Project details
I deliver end-to-end RAG (Retrieval-Augmented Generation) and AI Agent development services tailored for business scalability. With over 20 years of programming experience and deep expertise in LLM orchestration, I build production-ready systems that significantly reduce AI hallucinations and deliver factually accurate outputs.
My services cover the entire lifecycle: from requirements analysis and data preprocessing to vector database optimization, pipeline development, and secure deployment. I rigorously validate performance against client hardware specs (CPU/GPU/storage) and development environment constraints (Python versions, frameworks, cloud infrastructure).
Expect clean, maintainable source code, comprehensive documentation, and seamless integration with your existing systems. I prioritize clear communication, on-time delivery, and post-deployment support to ensure your AI solution performs reliably in production.
My services cover the entire lifecycle: from requirements analysis and data preprocessing to vector database optimization, pipeline development, and secure deployment. I rigorously validate performance against client hardware specs (CPU/GPU/storage) and development environment constraints (Python versions, frameworks, cloud infrastructure).
Expect clean, maintainable source code, comprehensive documentation, and seamless integration with your existing systems. I prioritize clear communication, on-time delivery, and post-deployment support to ensure your AI solution performs reliably in production.
Machine Learning Tools
BERT, ChatGPT, GitHub Copilot, GPT-3, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, SQL, Stanford CoreNLP, TensorFlow, Word2vecWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$4,500
|
Advanced
$12,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 2 | 5 | 9 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 3 | 3 |
Number of Graphs/Charts | 2 | 5 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$150
Additional Model Variation
(+ 10 Days)
+$800
Data Source Connectivity
(+ 10 Days)
+$1,000Frequently asked questions
About Q
RAG Solution Architect | Go/Java | Caching Framework & Enterprise IAM
Yangquan, China - 3:25 am local time
A senior Enterprise-Grade Distributed Systems Architect & Full-Stack Engineer with 5+ years of specialized experience in designing and building high-performance caching frameworks and enterprise-grade Identity & Access Management (IAM) platforms. I am the lead developer of **Feuille** (a Go-based multi-layer caching framework) and **Go Lantern** (a modern authentication/authorization platform)—two production-ready products optimized for scalability, low latency, and enterprise security. Proficient in Go (generics, concurrent programming, Ristretto/Redis optimization) and Java (high-concurrency design, JVM tuning), I specialize in translating complex business requirements into robust, observable, and maintainable distributed systems, with a proven track record of boosting system throughput by 60%+ and reducing API latency to under 50ms for high-traffic enterprise workloads.
## Core Skills
### Technical Stack
- **Languages**: Go (expert in generics, atomic operations, reentrant read-write locks), Java (advanced in high-concurrency patterns, JVM optimization)
- **Frameworks/Tools**: Gin, GORM, Redis (cluster/distributed caching, go-redis v9), PostgreSQL, Ristretto (memory caching), Prometheus (metrics monitoring), gRPC, Docker, Cuckoo Filter (seiflotfy/cuckoofilter), xxhash/murmur3 (hashing algorithms)
- **Core Components**: Multi-level cache architecture (Memory/Redis/JsonCache), WriteBufferShardGroup (batch async writes), JWT/SSO/MFA/LDAP integration, RBAC/ABAC access control, concurrent hash tables (cornelk/hashmap, haxmap)
- **Engineering Practices**: Performance benchmarking, end-to-end testing (unit/integration/load tests), Prometheus metrics instrumentation, cross-language documentation (EN/FR/DE/ES)
## Core Project Experience
### 1. Feuille High-Performance Caching Framework (Go/Java)
**Role**: Lead Architect & Core Developer
- Designed a type-safe generic `Cache[V any]` interface supporting 4 production-grade cache implementations: MemoryCache (Ristretto-backed low-latency in-memory), RedisCache (distributed with batch async writes), JsonCache (persistent file-based), and MultiLevelCache (fault-tolerant layered combination).
- Implemented WriteBufferShardGroup to shard write operations, reducing lock contention and increasing high-concurrency write throughput by 60%+; integrated Cuckoo Filter to boost cache hit rate to 95%+, eliminating cache penetration/avalanche risks.
- Built full observability with Prometheus metrics (cache hit/miss rates, operation latency, error counts) and 100% test coverage (unit/integration/performance tests); adapted Go core logic to Java while preserving architectural consistency for cross-stack enterprise adoption.
### 2. Go Lantern Modern Authentication & Authorization Platform
**Role**: Core Developer & Architecture Optimizer
- Engineered a modular layered architecture (API/Service/Data/Cache/Monitoring Layers) with Gin/GORM/PostgreSQL, delivering end-to-end IAM capabilities: user/role/organization management, JWT/MFA/SSO authentication, RBAC/ABAC authorization, audit logging, device/service account management, and LDAP identity source integration.
- Optimized identity data retrieval with a multi-level cache layer (Redis + in-memory caching), cutting core API latency to <50ms and supporting 10k+ concurrent requests; developed multi-language documentation (EN/FR/DE/ES) for API specs, deployment guides, and troubleshooting, enabling global commercialization.
## Service Advantages
1. **Performance-Optimized Solutions**: Deep expertise in resolving distributed system bottlenecks (caching, concurrency, I/O) via low-level optimizations (WriteBufferShardGroup, Cuckoo Filter, concurrent hash tables) for peak throughput and latency.
2. **Enterprise-Grade Security**: Specialized in building compliant IAM systems with MFA/SSO/LDAP and audit trails to meet strict enterprise security requirements.
3. **Cross-Stack Flexibility**: Seamlessly adapt components between Go/Java ecosystems, with hands-on experience in multi-language cache framework adaptation and cross-platform integration.
4. **Production-Ready Delivery**: Deliver complete solutions (code + test suites + monitoring + documentation) that are deployable at scale, reducing post-launch maintenance costs by 40%+.
## Collaboration Focus
I specialize in end-to-end delivery of:
- Custom high-performance caching frameworks (multi-level, distributed, persistent) tailored to your traffic patterns.
- Enterprise IAM/authorization systems (JWT/SSO/MFA/RBAC) with LDAP integration and audit capabilities.
- Distributed system performance tuning (concurrency, caching, I/O optimization) for Go/Java applications.
- Cross-language component development and integration (Go ↔ Java) for multi-tech-stack enterprises.
Let’s build scalable, secure, and high-performance distributed systems that align with your business goals—from architecture design and development
Steps for completing your project
After purchasing the project, send requirements so Q can start the project.
Delivery time starts when Q receives requirements from you.
Q works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis & Solution Design
Deeply understand client needs, design customized RAG/Agent architecture, and confirm technical roadmap
Data Preprocessing & Knowledge Base Construction
Clean, chunk, and embed source data, build optimized vector database for high-precision retrieval