I am a seasoned Data Scientist and AI Researcher with experience in transforming ideas into scalable, high-impact enterprise systems across the Information Technology and Services industry.
My work sits at the intersection of Generative AI, Large Language Models, Agentic AI, real-time analytics, enterprise knowledge graphs, intelligent automation, and applied research.
I enjoy building AI systems that are not only intelligent, but also explainable, auditable, compliant, and enterprise-ready.
- Generative AI and Large Language Models
- Agentic AI workflows and orchestration
- Retrieval-Augmented Generation
- Knowledge Graphs and Graph Analytics
- Real-time analytics and big data systems
- Enterprise AI automation
- AI evaluation, observability, and guardrails
- Domain-focused AI use cases and intelligent workflows
I work with modern AI patterns and frameworks such as:
- LLM-based applications
- RAG pipelines
- Agentic AI architectures
- Multi-agent workflows
- Prompt engineering
- Model evaluation
- AI observability
- Guardrail-driven AI systems
- Human-in-the-loop AI workflows
- Knowledge-grounded automation
I have explored and built solutions using tools and platforms such as:
- LangChain
- LangGraph
- CrewAI
- Azure OpenAI
- OpenAI models
- Gemini
- Gemma
- Llama-family models
- Embedding models
- Vector databases
- Neo4j
- Graph-based AI systems
- Responsible and explainable GenAI systems
- Agentic AI for enterprise workflows
- BPMN + AI orchestration patterns
- AI guardrails and evaluation frameworks
- Knowledge graph-powered RAG
- Local and sandboxed SLM/LLM deployments
- Spec-driven AI development
- AI-native business process transformation
- 6 Patents
- 9 Research Publications
- Experience across applied AI research, enterprise architecture, and production-oriented implementation
- Strong focus on building AI solutions that bridge innovation, engineering, and business value
I also write about AI, technology, parenting, personal finance, and everyday decision-making through my publication:
A creative space where logic meets imagination — exploring how modern AI, finance, parenting, and real-life decisions can be understood through analysis, stories, and practical insights.
AI should not only generate answers.
It should support reasoning, improve decisions, respect context, and remain explainable.
I believe the next generation of AI systems will be shaped by the combination of:
- LLMs for intelligence
- Agents for action
- Knowledge graphs for context
- BPMN/workflows for control
- Evaluation and guardrails for trust
- 💼 LinkedIn: Sonam Sharma
- ✍️ Medium: https://medium.com/@analyticalpicasso
- 📧 Email: analyticalpicasso@gmail.com
- 🌐 Portfolio: analyticalpicasso.com
Generative AI · Agentic AI · LLMs · RAG · Knowledge Graphs · Graph Analytics · Big Data · NLP · AI Orchestration · Enterprise Automation · Responsible AI
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