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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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Min project size
$10,000+
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Hourly rate
$200 - $300 / hr
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Employees
2 - 9
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Year founded
Founded 2025
No have been added yet...
Pricing Snapshot
Min. project size
$10,000+
Avg. hourly rate
$200 - $300
/hr
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Packages we offer:
Fractional CTO - AI/ML Platform Leadership
Part-time technical leadership for organizations scaling AI/ML infrastructure. Includes platform architecture decisions, team mentorship, vendor evaluation, technology roadmap planning, incident response guidance, and strategic technical advisory for AI-first products.
Small
Early-stage startups (Seed to Series A)
$10,000
/month
Medium
Growth-stage companies (Series A-B)
$20,000
/month
Large
Later-stage companies requiring hands-on technical
$30,000
/month
| Features |
Small $10,000 /mo |
Medium $20,000 /mo |
Large $30,000 /mo |
|---|---|---|---|
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Weekly 1-on-1 strategy sessions (1 hour) |
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Technology roadmap planning & prioritization |
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Async communication (slack/email support) |
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Platform architecture & technology decisions |
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Vendor evaluation & contract review |
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Monthly board/investor updates (tech perspective) |
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Engineering team mentorship & code reviews |
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Hiring support & technical interview participation |
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Production incident response & postmortems |
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Cloud cost optimization reviews |
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AI/ML model deployment best practices guidance |
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Quarterly all-hands technical presentations |
– |
– |
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Weekly all-hands technical presentations |
– |
– |
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On-call escalation support (critical incidents) |
– |
– |
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Custom technical training for engineering team |
– |
– |
|
|
Small $10,000 /mo |
|
|---|---|
|
Weekly 1-on-1 strategy sessions (1 hour) |
|
|
Technology roadmap planning & prioritization |
|
|
Async communication (slack/email support) |
|
|
Platform architecture & technology decisions |
|
|
Vendor evaluation & contract review |
|
|
Monthly board/investor updates (tech perspective) |
|
|
Engineering team mentorship & code reviews |
– |
|
Hiring support & technical interview participation |
– |
|
Production incident response & postmortems |
– |
|
Cloud cost optimization reviews |
– |
|
AI/ML model deployment best practices guidance |
– |
|
Quarterly all-hands technical presentations |
– |
|
Weekly all-hands technical presentations |
– |
|
On-call escalation support (critical incidents) |
– |
|
Custom technical training for engineering team |
– |
|
Medium $20,000 /mo |
|
|---|---|
|
Weekly 1-on-1 strategy sessions (1 hour) |
|
|
Technology roadmap planning & prioritization |
|
|
Async communication (slack/email support) |
|
|
Platform architecture & technology decisions |
|
|
Vendor evaluation & contract review |
|
|
Monthly board/investor updates (tech perspective) |
|
|
Engineering team mentorship & code reviews |
|
|
Hiring support & technical interview participation |
|
|
Production incident response & postmortems |
|
|
Cloud cost optimization reviews |
|
|
AI/ML model deployment best practices guidance |
|
|
Quarterly all-hands technical presentations |
– |
|
Weekly all-hands technical presentations |
– |
|
On-call escalation support (critical incidents) |
– |
|
Custom technical training for engineering team |
– |
|
Large $30,000 /mo |
|
|---|---|
|
Weekly 1-on-1 strategy sessions (1 hour) |
|
|
Technology roadmap planning & prioritization |
|
|
Async communication (slack/email support) |
|
|
Platform architecture & technology decisions |
|
|
Vendor evaluation & contract review |
|
|
Monthly board/investor updates (tech perspective) |
|
|
Engineering team mentorship & code reviews |
|
|
Hiring support & technical interview participation |
|
|
Production incident response & postmortems |
|
|
Cloud cost optimization reviews |
|
|
AI/ML model deployment best practices guidance |
|
|
Quarterly all-hands technical presentations |
|
|
Weekly all-hands technical presentations |
|
|
On-call escalation support (critical incidents) |
|
|
Custom technical training for engineering team |
Contact Dhakma
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