AI Solutions Architect & Full-Stack Engineer
Build Production-Ready AI Systems That Scale
Architect intelligent applications using GPT-4, Claude, Llama 3, and enterprise LLM stacks. Ship production-grade AI agents from concept to deployment in weeks, not months.
$ array deploy --env production
> loading rag-pipeline-v3...
> attaching vector store (pinecone)
> spinning up 4 agent workers
>ready in 2.4s
tokens/s: 2,847 • cost: $0.0031
Meet The Developer
Bridging Cutting-Edge AI Research With Production Reality
I'm Rajesh, a full-stack AI engineer specializing in LLM development, RAG architecture, and autonomous agent systems. I transform complex AI research into robust, scalable products that deliver measurable business outcomes.
Technical Specializations
- 01
LLM Engineering
Fine-tune Llama 3 and Mistral. Architect RAG systems with sub-100ms latency scaling to millions of documents.
- 02
Agent Development
Build autonomous reasoning systems using AutoGen, CrewAI, and semantic orchestration frameworks.
- 03
MLOps Pipelines
Deploy end-to-end workflows from data ingestion through production monitoring and automated retraining.
Technology Stack
Enterprise-Grade AI Infrastructure
Production-hardened technology combining state-of-the-art frameworks, optimized cloud deployment, and intelligent design systems built for scale.
01
LLM Frameworks
LangChain & LlamaIndex • Semantic Kernel • AutoGen & CrewAI • Custom Fine-tuning Pipelines
02
Infrastructure
Vector DBs: Pinecone, Weaviate, Chroma • GPU Cloud: AWS, GCP, Azure • Docker & Kubernetes • CI/CD for LLMOps
03
Development
Python, PyTorch, TensorFlow • PHP, React, Next.js • FastAPI, Node.js • CUDA Optimization
Development Framework
From Concept to Production in 8 Weeks
Execute AI initiatives through a battle-tested methodology delivering production systems rapidly without compromising quality, security, or scalability.
- 01
Strategic Discovery & Architecture Design
Analyze your business domain, map existing workflows, and architect optimal AI solutions whether RAG systems, fine-tuned models, or multi-agent orchestration.
- 02
Rapid Prototyping & Prompt Engineering
Validate concepts within days through functional prototypes using advanced prompt engineering, few-shot learning, and chain-of-thought reasoning patterns.
- 03
Model Fine-tuning & Performance Optimization
Customize open-source models on proprietary datasets. Implement RLHF, LoRA adapters, and custom tokenization for maximum domain-specific performance.
- 04
Production Deployment & LLMOps
Launch with confidence using containerized deployments, Kubernetes orchestration, and comprehensive monitoring for LLM-specific performance metrics.
Service Offerings
AI Development Engineered for ROI
Deliver production-ready AI solutions using the latest LLM technology stack. From intelligent RAG systems to autonomous agents built for performance, scalability, and measurable business impact.
Custom LLM Development & Fine-tuning
Train proprietary models on Llama 3, Mistral, and domain-specific datasets. Build AI that outperforms generic solutions through targeted fine-tuning and RAG integration.
Explore service →Autonomous AI Agent Architecture
Deploy autonomous agents capable of reasoning, planning, and executing complex workflows from research automation to code generation systems.
Explore service →AI-Native Interface Design
Design adaptive interfaces that predict user intent and enable natural conversation. Merge cutting-edge AI capabilities with precision-crafted user experiences.
Explore service →Client Questions
Frequently Asked Questions
Do you partner with early-stage startups?
Absolutely. I specialize in AI MVPs designed to scale. Multiple startup clients have secured Series A funding after shipping their intelligent product.
What does a typical engagement look like?
Engagements range from $15K for focused RAG implementations to $150K+ for comprehensive AI platforms. Fixed-price proposals provided after discovery phase.
Do you provide ongoing LLMOps support?
Yes. Retainer-based LLMOps support includes model monitoring, automated retraining pipelines, and continuous performance optimization.
Let's Build Your Intelligent System
Join forward-thinking teams shipping AI products with custom LLMs and autonomous systems. Trusted by startups and Fortune 500 companies. Prototypes in 2 weeks. ROI-focused delivery.
Technical Insights
Engineering Notes From The Trenches
Deep technical dives into LLM development patterns, RAG architecture decisions, AI agent design, and lessons learned building production AI systems.
Hiring AI Talent
7 Toptal Alternatives for Hiring AI Developers Who Actually Ship (2026)
Tired of bloated platform markups? We tested top Toptal alternatives to hire AI developers who deliver production RAG and agent systems in weeks.
AI Engineering
We Interviewed 30 AI Dev Shops — Only 5 Could Build a Production RAG System
Most agencies demo toy RAG pipelines with LangChain tutorials. Here is what happened when we grilled 30 AI dev shops on building a production RAG system.
Hiring AI Talent
9 Turing Alternatives That Won't Ghost You After the Sales Call
Turing promises automated matching, but what happens post-call? Here are 9 Turing alternatives that deliver vetted AI engineers who stick around.
ai-development
The Best AI Development Companies in 2026 (Ranked by Engineers, Not Marketers)
Forget sponsored reviews and marketing spin. We ranked the best AI development companies based strictly on technical rigor, latency, and shipped code.
Hiring AI Talent
5 Andela Alternatives for Teams That Need Senior AI Engineers, Not Juniors
Stop paying senior rates for junior prompt crafters. These 5 Andela alternatives connect you directly with battle-tested senior AI engineers.
Hiring AI Talent
Toptal vs Turing vs Array: Which Platform Gets You a Real AI Engineer in Under 2 Weeks?
Need an AI engineer who can deploy this month? We put Toptal, Turing, and Array head-to-head on vetting depth, technical screening, and speed to code.
ai-development
Hiring an AI Freelancer vs an AI Dev Studio: We Tried Both — Here's the Honest Breakdown
Should you hire an AI freelancer or an AI dev studio? We ran identical RAG sprint builds with both to give you the unvarnished truth on cost and quality.
AI Engineering
Upwork AI Developers vs Dedicated AI Teams: The $80K Mistake Most CTOs Make
Hiring Upwork AI developers seems cheap until you rewrite the entire codebase 4 months later. Here is how CTOs lose $80K and how to avoid the trap.
AI Engineering
How Much Does It Cost to Hire an AI Developer in 2026? (We Got 25 Real Quotes)
Wondering what fair rates look like for machine learning talent? We analyzed 25 real quotes to break down the true cost to hire an AI developer in 2026.
AI Engineering
AI Agent Development Pricing: What 20 Studios Charge to Build a Production Agent
Autonomous agents sound futuristic, but what do they cost? We reviewed 20 proposals to reveal actual AI agent development pricing for multi-agent builds.
AI Engineering
Custom LLM Development Costs: The Real Numbers Nobody Publishes (Until Now)
Fine-tuning or pretraining a custom model? We exposed the real custom LLM development costs that agencies hide behind vague 'contact sales' forms.
AI Engineering
Your AI Prototype Works in Demo, Breaks in Production — Here's Why (and Who Fixes It)
Streamlit demos are easy; resilient production AI is brutal. Here is why your AI prototype breaks in production and the engineering fixes that save it.
Start The Conversation
Let's Architect Your AI Solution
Currently accepting select clients for Q2 2025. Share your project requirements and receive a technical proposal within 48 hours.
info@array.im
Guaranteed response within 24 hours