Principal AI Architect
"Building scalable, secure, governed, and autonomous AI ecosystems that unlock real-world business opportunities."
I bring over a decade of experience in software engineering, architecture, and agile leadership to the tech ecosystem. I don't just write code; I architect intelligent realities. Operating at the intersection of deep tech, distributed systems, and business strategy, I specialize in bridging the gap between complex AI capabilities and tangible business ROI.
- Grounding & Accuracy: Architected high-scale RAG systems that significantly reduced domain-specific hallucination rates.
- Model Specialization: Fine-tuned LLMs using PEFT/LoRA techniques, boosting domain-specific accuracy and inference speed.
- Data Foundations: Built scalable Data and automated ELT pipelines to eliminate AI bottlenecks.
- Cost Efficiency: Spearheaded Agentic AI and IaC strategies, slashing operational cloud costs.
- Market Agility: Designed reusable TOGAF-aligned frameworks for rapid, scalable deployments.
🔹 Infrastructure: Integrating high-throughput LLMs, complex RAG pipelines, and autonomous multi-agent workflows.
🔹 DataOps: Engineering secure pipelines, modern storage, and IaC as an unbreakable AI foundation.
🔹 Business Alignment: Aligning technical architecture with overarching strategy to drive continuous ROI.
RAG Pipelines (LangChain, LlamaIndex) | Agentic Workflows (LangGraph, CrewAI) | LLM Fine-tuning (LoRA/QLoRA) | Model Evaluation (RAGAS/TruLens)
PyTorch | TensorFlow | Scikit-learn | Predictive Modeling | Computer Vision
Apache Kafka | Airflow / Dagster | Spark / Flink | Superset | dbt | Delta Lake / Iceberg | Terraform | Docker / Kubernetes
Enterprise Architecture (TOGAF) | AWS | Python | Microservices (FastAPI) | CI/CD Pipelines
Backed by industry-leading certifications from DeepLearning.AI and IBM.
🏆 View my Verified Badges on Credly
- DeepLearning: AI Data Engineering
- IBM: RAG & Agentic AI
- IBM: AI Engineering
- IBM: Generative AI with LLMs
- IBM: Data Science
- EDUCBA: TOGAF 10
