Architecting Modern Data Platforms, Intelligent AI Applications & High-Performance Distributed Systems
rohit@cluster:~$ cat profile.json
{
"name": "Rohit Singh",
"role": "Data, AI & Application Engineer",
"certifications_2026": [
"Claude Certified Architect - Professional (CCAR-P)",
"Claude Certified Architect - Foundations (CCAR-F)",
"Claude Certified Developer - Foundations (CCDV-F)",
"Claude Certified Associate - Foundations (CCAO-F)",
"Snowflake SnowPro Core Certified (COF-C02)"
],
"core_stack": {
"data_platforms": ["Databricks", "Snowflake", "Apache Spark", "Delta Lake"],
"ai_intelligence": ["Generative AI", "LLM Fine-Tuning & RAG", "Deep Learning", "Computer Vision"],
"engineering": ["Python", "Full-Stack Application Development", "REST APIs", "Microservices"]
},
"philosophy": "Building scalable data lakehouses and intelligent AI applications that solve real-world complexities.",
"fuel": "Indian Tea / Chai over Coffee β"
}| Certificate Title | Code / Track | Issuer | Verification Link |
|---|---|---|---|
| Claude Certified Architect - Professional | CCAR-P |
Anthropic | Verify on Credly π |
| Claude Certified Architect - Foundations | CCAR-F |
Anthropic | Verify on Credly π |
| Claude Certified Developer - Foundations | CCDV-F |
Anthropic | Verify on Credly π |
| Claude Certified Associate - Foundations | CCAO-F |
Anthropic | Verify on Credly π |
| Snowflake SnowPro Core Certified | COF-C02 |
Snowflake | Verify on Snowflake π |
| Category | Specialized Stack |
|---|---|
| π Data Platforms & Lakehouse | Databricks, Snowflake, Apache Spark, Delta Lake, Apache Kafka, Hadoop, AWS, PostgreSQL |
| π€ Artificial Intelligence & GenAI | Generative AI, LLMs, RAG, PyTorch, TensorFlow, OpenCV, Scikit-Learn, Pandas, NumPy, NLP, CNNs |
| π» Languages & App Development | Python, C++, SQL, Java, TypeScript, JavaScript, Full-Stack Web & App Dev, React, Node.js |
| π οΈ Infrastructure & DevOps | Docker, Kubernetes, AWS Cloud, Git, GitHub Actions, Linux Shell, CI/CD Pipelines |
|
Synthetic Aperture Radar (SAR) target recognition utilizing deep learning neural networks and high-resolution signal analytics. Stack: Python, PyTorch, OpenCV, NumPy, CNNs |
IBM Qiskit Global Summer School implementations, covering quantum error mitigation, Variational Quantum Eigensolvers (VQE), and entanglement circuits. Stack: Python, Qiskit, Quantum Circuits, Linear Algebra |
|
Intelligent NLP conversational bot engine & full application framework built to process and serve complex human queries in real-time. Stack: Python, NLTK, Flask, Application Architecture |
Content-based filtering system computing high-dimensional vector similarities (TF-IDF & cosine distance) across film feature representations. Stack: Python, Scikit-Learn, Pandas, Cosine Similarity |
"Simplicity is prerequisite for reliability." β Edsger W. Dijkstra
Engineered with precision for Rohit Singh | Data, AI & Application Engineer


