Dhakma

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.-