# Dhakma

> Building Intelligence

- Canonical listing: https://agencysource.com/agencies/dhakma
- Categories: [Custom Software Development](https://agencysource.com/categories/custom-software-development), [AI & LLM Development](https://agencysource.com/categories/ai-development), [Cloud & DevOps](https://agencysource.com/categories/cloud-devops), [AI Consulting & Strategy](https://agencysource.com/categories/ai-consulting)
- Services: AI Consulting, AI Development, Custom Software Development, Cloud Consulting & SI
- Team size: 2 - 9
- Hourly rate: $200 - $300 / hr
- Minimum project: $10,000+
- Founded: 2025
- Website: https://dhakma.io
- Listing: Not yet claimed
- Agency Source rating: no Agency Source reviews yet

## About

Dhakma: AI/ML Platform Engineering for Enterprise Scale

We help organizations navigate the technical and strategic challenges of deploying AI/ML systems at production scale. Led by Dr. Tharindu Mathew (PhD Computer Science, ex-Microsoft Azure), we bring a unique combination of cutting-edge research expertise and hyperscale infrastructure experience.

What We Do:

- LLM Deployment Strategy: Architecture design, cost optimization, build-vs-buy analysis
- RAG System Implementation: Vector databases, chunking strategies, retrieval optimization
- Multi-Agent Orchestration: Framework selection, coordination patterns, failure handling
- Edge AI Solutions: NVIDIA Jetson deployment, quantization, sub-200ms latency optimization
- Azure Cloud Architecture: Platform design, distributed systems, performance tuning

Computer Vision Systems: 3D object detection, instance segmentation, synthetic data pipelines

Notable Impact:

- $1B+ cost savings delivered through Azure infrastructure optimization
- 42% memory reduction and 50% latency improvement in critical distributed systems
- Managed hyperscale infrastructure across Azure's entire Core Platform fleet
- Autonomous vehicle perception systems (Uber ATG experience)

Ideal Clients:

Organizations evaluating LLM deployment strategies (self-hosted vs. API, open-source vs. commercial)

- Companies architecting RAG systems and need expert guidance on technical decisions
- Enterprises planning Azure migrations or optimizing existing cloud infrastructure
- Technical due diligence for AI/ML startups (investors and acquirers)
- Edge AI deployment projects requiring hardware selection and optimization expertise

Why Work With Us:

We don't just understand the research papers- we've deployed these systems at Microsoft Azure scale. Our engagements focus on real-world constraints: cost,latency,reliability, and maintainability.-

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