Farjad Akbar · Full-stack & AI Engineer

From complex workflows
to dependable software.

I build the APIs, interfaces, and AI integrations behind products people use. From conversational agents to operations platforms, I focus on reliable systems, faster workflows, and lower running costs.

Explore my work

70–90 → 6–9

Daily AI spend at Botsify

Routing workloads across five providers

100 → ~10 / month

MCP integration costs

Migrated from Pipedream to Smithery

Backend to production

End-to-end ownership

APIs, queues, databases, and infrastructure

The stack behind the work

Laravel and NestJS for the backend. Vue and Next.js for the interface. Cloud infrastructure and AI integrations to bring it all together.

Languages & Frameworks

APIs, background services, and responsive product interfaces

LaravelNestJSVue.jsNext.jsTypeScriptReact

Databases & Storage

Data modeling, query optimization, and caching

PostgreSQLMySQLMongoDBRedisAWS S3

DevOps & Cloud

Production deployments, migrations, and infrastructure management

DigitalOceanAWS (EC2, S3)DockerCloudflareCI/CD (GitHub Actions)Nginx

AI & Integrations

Agent workflows, tool integrations, and provider routing

OpenAI APIMCP / SmitheryCloudflare AI GatewayGeminiPrompt EngineeringRAG

What I bring to your product

Hands-on engineering across the interface, backend, and infrastructure, grounded in the needs of the business.

AI AUTOMATION

AI that fits the workflow

Conversational agents, MCP integrations, and web and file search that connect AI to the tools and information a product needs.

🧠

Interfaces for everyday work

Dashboards, admin panels, and real-time views that help teams manage inventory, conversations, bookings, and operations.

📊
COST OPTIMIZATION

Performance with a practical budget

Provider routing, database tuning, queues, and caching. At Botsify, I reduced AI spend and integration costs while simplifying production infrastructure.

📈
PRODUCTION OWNERSHIP

Beyond the first release

I work across APIs, background jobs, databases, and deployment, and investigate production issues when real usage exposes the edge cases.

🔗

Experience across business domains

From pharmaceutical operations and property alerts to taxi tracking and live music bookings, I turn business rules into usable product workflows.

🎯

Resilience built into the system

LLM provider fallbacks, isolated MCP sessions, booking safeguards, and support tools that help teams recover when things go wrong.

🚀
See the work behind these skills

Notes from the engineering work

Practical deep dives into AI infrastructure, agent integrations, and the details that shape production behavior.

June 27, 2026

Understand KV Cache Step by Step

A hands-on walk through KV caching in LLMs: token caching, eviction, LRU, paged blocks, prefix reuse, preemption, scheduling, and a unified engine.

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April 25, 2026

Are LLMs a Single Point of Failure for Your Business?

Why cost-aware, hybrid AI architecture beats wrapper apps, plus practical fallback, routing, and caching infrastructure patterns.

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February 28, 2025

Understanding OpenAI json_schema, MCP, and the 30-Second Streaming Pause

Why missing tool_choice when using OpenAI structured outputs with MCP causes a long streaming pause, and how to fix it.

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