Senior technologist with 22+ years in enterprise technology, 10+ years in AI/ML, and 4+ years in Generative AI.
I design, build, and deliver scalable, production-grade Data & AI platforms across cloud and hybrid environments.
My expertise spans Big Data, NoSQL & structured databases, cloud-native platforms, AI/ML pipelines, and LLM-powered systems.
I help organizations move from concept → architecture → production → scale, ensuring secure, reliable, and cost-effective platforms.
I provide independent consulting and hands-on technical leadership, supporting enterprises, startups, and engineering teams in:
- Design and deliver enterprise-grade Data & AI platforms, addressing real-world business challenges
- Modernize legacy systems and scale cloud-native, hybrid, or multi-region architectures
- Implement LLM / RAG pipelines and generative AI solutions for production environments
- Optimize distributed data & streaming platforms for performance, resilience, and cost efficiency
- Provide architecture guidance, code reviews, and technical enablement for engineering teams
- Enabled 250+ enterprise teams to adopt modern Data, Cloud, and AI/ML platforms through hands-on workshops
- Guided engineers in solving real-world problems and implementing production-ready solutions
- Maintained 95–100% satisfaction, demonstrating consistent impact
Available formats:
- Quick discovery / scoping calls
- Executive sessions with leadership
- Hands-on deep dives & multi-week enablement programs
- Advisory or implementation retainers
📩 Contact: [email protected] | 🔗 Booking link coming soon
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🚧 Repositories are continuously evolving with reference implementations & exploratory work. |
- LLM-based enterprise applications and RAG pipelines using multiple providers and frameworks, including OpenAI GPT, Google Gemini, Hugging Face, LangChain, LangGraph, AutoGen, CrewAI
- Deployment and orchestration on cloud platforms such as Google Cloud (Vertex AI), Azure OpenAI, and AWS
- Vector stores for semantic and multimodal search: FAISS, Chroma, Elasticsearch / OpenSearch
- Evaluation frameworks, benchmarking, and guardrails for production-ready systems
- Agentic systems and workflow automation for real-world business solutions
- Spark, Hadoop, Kafka, Flink
- Nifi, Messaging Systems, Informatica
- Elasticsearch / OpenSearch ecosystems
- Hybrid batch & real-time architectures
- Event-driven integration patterns
- Multi-region cloud-native architectures & APIs (AWS · GCP · Azure)
- Containers, Kubernetes, serverless & hybrid infrastructure
- Structured & NoSQL systems across enterprise & distributed environments
- Lakehouse & streaming architectures for high-volume, low-latency processing
- Data quality, lineage & governance frameworks
If you'd like to support my work directly via PayPal:
