Available for consulting engagements

Aditya Dhir

// AI & Backend Engineering Consultant

Freelance AI Consultant & LLM Systems Architect — Python & Go

Senior AI consultant and backend engineer specializing in LLM systems, agentic AI, and cloud-native architecture. I help startups and enterprises design and ship production-grade AI platforms — from RAG pipelines and multi-agent systems to high-throughput Python and Go backends. 5+ years delivering real-world systems that scale.

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5+ Years Experience
100K+ API req/day shipped
~30% Avg latency reduction
2 AI certifications
What I Do

AI & Backend Engineering Services

As an independent AI consultant, I partner with engineering teams and founders to solve hard infrastructure problems — especially at the intersection of LLM systems, agentic AI, and production backends.

LLM & Agentic AI Architecture

Design and build production-ready LLM systems — RAG pipelines, multi-agent orchestration, prompt lifecycle management, and AI workflow automation.

RAG Multi-Agent Vector Search Prompt Engineering

AI Platform & LLMOps

Build the operational infrastructure around your AI — evaluation frameworks, model monitoring, safety guardrails, observability, and experimentation pipelines.

Evals Monitoring Guardrails Observability

Backend & Microservices Architecture

Design scalable, high-throughput backend systems using Python and Go — microservices, API gateways, inference pipelines, and event-driven architectures.

Python Go REST / GraphQL Microservices

Cloud-Native Infrastructure

Containerize, orchestrate, and deploy your services on AWS with Kubernetes and Docker. Improve deployment reliability and meet enterprise SLAs.

AWS Kubernetes Docker CI/CD

Architecture Reviews & Audits

Independent review of your AI or backend systems — identifying scalability bottlenecks, security boundaries, data model issues, and technical debt.

System Design Security Performance Scalability

Startup Technical Advisory

For founders and early-stage teams — help with AI integration strategy, platform architecture decisions, production readiness, and engineering team mentorship.

0 → 1 Builds AI Strategy Team Mentoring Design Reviews
Track Record

AI & Engineering Experience

I've built LLM-powered and high-throughput systems from the ground up — as a founding engineer, tech lead, and independent AI consultant.

InterVision / NWN 2024 – Present

Tech Lead / Senior Back-End Engineer

  • Lead backend and platform architecture for an AI-enabled enterprise SaaS product, owning design decisions across 5–10 production microservices.
  • Architect and deliver agentic AI workflows and LLM-powered automation in Python and Go — enabling intelligent service orchestration for enterprise customers.
  • Build AI-driven data pipelines, automation agents, and LLM inference infrastructure aligned with LLMOps best practices.
  • Containerize and deploy services using Docker and Kubernetes, improving deployment consistency to meet enterprise uptime SLAs.
  • Reduced backend API latency by ~25% through query optimization, caching, and service boundary refinements.
MetaKeep (Passbird Research Inc.) 2022 – 2024

Founding Engineer

  • Delivered a production-ready platform end-to-end in under 3 months, scaling to hundreds of thousands of API requests per day.
  • Designed microservices architecture for high-throughput concurrent API workloads, focused on reliability and low latency.
  • Led data modeling across PostgreSQL, MongoDB, and DynamoDB — establishing the foundational data architecture for the platform.
  • Reduced API response latency by ~30% through backend optimization and database query tuning.
  • Mentored engineers and led technical design reviews to maintain system quality and architectural coherence.
Independent Consulting 2024 – Present

Tech Lead – Backend & AI Platform Advisory

  • Advise early-stage startups on AI-enabled platform architecture, LLM integration strategy, and production readiness.
  • Conduct architecture reviews for data-driven and AI-powered systems, identifying scalability bottlenecks and security boundaries.
  • Guide teams on API design, service decomposition, and responsible AI system design.
Tech Stack

Skills & Technologies

Languages

Python Go

AI / LLM

LLM Architecture Agentic Workflows RAG Pipelines Multi-Agent Systems Vector Search Prompt Engineering

LLMOps / MLOps

LLM Evals Model Monitoring Safety Guardrails Observability Experimentation

Backend

REST APIs GraphQL Microservices API Gateways Inference Pipelines

Databases

PostgreSQL MongoDB DynamoDB Neo4j

Cloud & DevOps

AWS Docker Kubernetes CI/CD IaC
Credentials

Certifications & Education

Generative AI Development

Boston Institute of Analytics  ·  Feb 2026

Agentic AI Development

Boston Institute of Analytics  ·  Feb 2026

MSc – Data Science

Liverpool John Moores University  ·  Postgraduate

B.Tech – Computer Science & Engineering

Undergraduate Degree

My Process

How I Work

A structured, outcome-driven approach — whether you need a quick architecture review or a full production build.

Discover & Scope

Deep dive into your current architecture, constraints, and goals. Define clear success criteria and identify the right scope for maximum impact with minimal risk.

Architect & Plan

Design a pragmatic solution architecture. Evaluate trade-offs, de-risk the unknowns, and align on a concrete execution plan before writing a single line of code.

Build & Deliver

Execute with precision — shipping production-ready code, documentation, and knowledge transfer so your team can fully own the system long-term.

Let's Build

Hire an AI Consultant

Whether you're building your first AI product, integrating LLMs into an existing platform, or need an expert architecture review — I'd love to hear about your challenge.

Available for new engagements

Reach out directly to discuss your project, timeline, and how I can help as your AI consultant or backend engineering partner.

📬   hello@adityadhir.com
🔗 LinkedIn ⚡ GitHub