Thomas Cherickal - Generative AI Consultant - Generative AI Trainer - Generative AI Mentor
📍 Chennai, India | 🌐 thomascherickal.com · thomascherickal.github.io | 💼 LinkedIn
I write 500+ published articles on AI - and I write the code behind them.
Most people do one or the other. I do both, and each one sharpens the other. When I explain a quantization pipeline to 50,000 readers, I have already built it. When I build it, I already know which part will confuse everyone.
My bet - Rust is the future of the AI stack.
Python owns the research layer and always will. But inference servers, agent runtimes, quantization tooling, and edge deployment need memory safety, predictable latency, and no GIL. That is Rust territory. Go handles the infrastructure around it.
I am building toward that stack, one tested crate at a time.
| Role | What it means in practice |
|---|---|
| Rust / Python / Go AI Engineer | Porting Python AI workloads to Rust systems with Go infrastructure. TDD throughout, targeting 100% coverage. Local-first and edge deployment of small language models. |
| Technical Content Writer | Long-form deep dives on Generative AI, LLM and SLM engineering, and Quantum Computing. 500+ articles across 10+ platforms since 2020. |
| AI Consultant | Practical AI integration advisory and one-on-one upskilling for individuals and small teams - from first prompt to production deployment. |
Languages
- Rust - systems, inference tooling, CLI, async with Tokio
- Python - the AI research and prototyping layer
- Go - services, infrastructure, and concurrency
Generative AI
- LLM and SLM engineering: quantization, GGUF
- Local-first and sovereign deployment - Ollama, llama.cpp, on-device inference
- Agentic systems, MCP servers, and tool-using AI workflows
Test-Driven Development
- PyTest, cargo test, Go's testing package
- 100% coverage as a target, with the discipline to admit when it costs more than it earns
- SOLID principles, design patterns, clean architecture
Quantum Computing
- IBM Qiskit, Google Cirq, PennyLane
- Quantum machine learning and variational circuits
- Where quantum genuinely helps AI - and where the hype outruns the hardware
500+ long-form articles. 10+ platforms. Since 2020.
| Platform | Link |
|---|---|
| HackerNoon | hackernoon.com/u/thomascherickal |
| Medium | thomascherickal.medium.com |
| Substack | thomascherickal.substack.com |
| Hashnode | hashnode.com/@thomascherickal |
| linkedin.com/in/thomascherickal | |
| All links | linktr.ee/thomascherickal |
Canonical: thomascherickal.com · Portfolio: thomascherickal.github.io
The AI-powered career development playbook for the age of intelligent machines.
Personal brand architecture, AI tool fluency, LinkedIn strategy, and a structured six-month roadmap.
Pre-order: $5 USD - free with an active Patreon subscription. patreon.com/thomascherickal
| Service | Link |
|---|---|
| 🗓️ 1-on-1 Consultations | topmate.io/thomascherickal |
| 🛒 Digital Products & Playbooks | thomascherickal.gumroad.com |
| 📚 Exclusive Member Content | patreon.com/thomascherickal |
Open to: Technical writing collaborations · AI consulting · Course collaborations · AI mentoring at every level
Free first conversation: connect on LinkedIn.
I sing 1st Bass in four-part choral harmony and I play the violin. I love God, my family, my friends, and my pets. I also love swimming, badminton, table tennis, hot chocolate, and coffee strong enough to stand a spoon in.
I am a creative by calling who happens to write code. Both halves are the same job, in their true essence.
All the very best to you!
© 2026 Thomas Cherickal · The Digital Futurist (2020–present) · thomascherickal.com · thomascherickal.github.io · Chennai, India