AI Researcher · Data Scientist · Writer
Hi, I'm
Sonam
Sharma
GenAI · LLMs · Agentic AI · Knowledge Graphs · Responsible AI

I build AI systems that think, explain, and act — at the intersection of Generative AI, Agentic workflows, Knowledge Graphs, and enterprise scale. I write about all of it at AnalyticalPicasso.

4Patents
9Papers
∞Curiosity
📖 Read My Writing View Research →
AnalyticalPicasso Brain
🧠
Agentic AI
LangGraph · CrewAI
🔥
GenAI Builder
RAG · LLMs · Neo4j
📊
4 Patents
9 Publications
✍️
AnalyticalPicasso
On Medium
About me

AI that thinks,
explains, and acts

I'm a seasoned Data Scientist and AI Researcher building scalable, high-impact enterprise systems. My work sits at the intersection of Generative AI, LLMs, Agentic workflows, Knowledge Graphs, and real-time analytics.

Through AnalyticalPicasso, I write where logic meets imagination — exploring AI, personal finance, parenting, and everyday decisions through analysis and storytelling.

"AI should not only generate answers. It should support reasoning, improve decisions, respect context, and remain explainable."

My AI Philosophy

🧠
LLMs for intelligenceLanguage models as the core reasoning engine
🤖
Agents for actionAutonomous multi-agent workflows that execute
🕸️
Knowledge graphs for contextStructured memory and relational reasoning
🛡️
Guardrails for trustEvaluation, observability, and responsible AI
From the blog

Featured Writing

✍️ All Articles on Medium
🚀
Featured · GenAI
12 min read · AnalyticalPicassoRead on Medium →
🕸️
Knowledge Graphs

RAG Meets Knowledge Graphs: Next-Level Contextual AI

Why graph-powered retrieval outperforms vector search for complex enterprise queries.

8 min readRead →
🛡️
Responsible AI

Guardrails Are Not Optional: Designing AI for Trust

Evaluation, observability, and human-in-the-loop AI workflows in practice.

6 min readRead →
⚙️
Orchestration

BPMN + AI: Orchestrating Intelligent Business Processes

Combining Camunda workflows with LLM agents for auditable enterprise automation.

9 min readRead →
💰
Personal Finance

Thinking in Probabilities: How Data Scientists Make Financial Decisions

Applying analytical frameworks from AI research to personal finance choices.

7 min readRead →
View All Articles on Medium ↗
Beyond the code

My Personal Corner 🏡

Parenting & Life

The Human Side of an AI Researcher

Behind every algorithm is a parent, a curious mind, a storyteller. Here I share the joy, chaos, and beautiful moments of raising a child while building the future of AI. Because the best intelligence is still human.

From the analytical lens — parenting decisions, financial planning for families, work-life balance, and finding meaning in both data and diaper changes.

Read Parenting Articles ↗
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🎥 Latest Video
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AI Explained: Knowledge Graphs in 5 Minutes
A short walkthrough of how I use Neo4j and graph-powered RAG in real enterprise systems. Aimed at builders and curious minds alike.
Watch on YouTube →
💜 Parenting
Raising a Child in the Age of AI — What I've Learned
The questions my child asks about technology make me a better researcher. A personal reflection.
Read on Medium →
💚 Finance
SIP, NPS & Term Insurance — A Data Scientist's Family Plan
How I apply probability thinking and expected value to personal financial decisions in India.
Read on Medium →
🔶 Life
On Being an Inventor, Parent, and Writer Simultaneously
Balancing patents, publications, parenting and a Medium publication. The honest truth.
Read on Medium →
Research & Innovation

Publications & Patents

🔬 ResearchGate Profile
4
Patents Filed & Granted
Inventor (Company Assignee)
Enterprise AI & Data Systems
9
Research Publications
Peer-reviewed journals,
conference proceedings
13+
Total Research Outputs
Patents + Papers + Applied
AI research contributions
🔬
ResearchGate
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and full publication list
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🔬
ResearchGate
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View Full Profile on ResearchGate ↗
1
Journal Paper
Add your paper title here — e.g. "Knowledge Graph-Augmented Retrieval for Enterprise AI Applications"
Sonam Sharma, Co-Author Name · Journal Name, Year · DOI: 10.xxxx/xxxxx
🔬 ResearchGate DOI Link
2
Conference Paper
Add your paper title here — e.g. "Agentic AI Workflows for BFSI: A Multi-agent Orchestration Framework"
Sonam Sharma, Co-Author Name · Conference Name (ICML / NeurIPS / etc.), Year
🔬 ResearchGate DOI Link
3
Journal Paper
Add your paper title here — e.g. "Real-time Big Data Analytics with Apache Spark for Financial Fraud Detection"
Sonam Sharma, Co-Author Name · Journal Name, Year
🔬 ResearchGate DOI Link
4
Conference Paper
Add your paper title here — e.g. "Guardrail-Driven LLM Evaluation: A Framework for Enterprise Compliance"
Sonam Sharma et al. · Conference Name, Year
🔬 ResearchGate DOI Link
+5
5 more publications — replace these placeholders with your actual paper titles, co-authors, journals, and DOI links.
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ℹ️ About listing company patents: These patents are listed in your name as Inventor. The company is the legal Assignee — this is standard practice. Listing them on your portfolio demonstrates enterprise-level innovation and is entirely valid and professional.
1
Patent · Granted
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Inventor: Sonam Sharma et al. · Patent No: USXXXXXXXX · Filed: Year · Granted: Year
Assignee: Your Company Name
USPTO / Patent Office Link
2
Patent · Granted
Add your patent title here — e.g. "Knowledge Graph-Based Automated Compliance Monitoring System"
Inventor: Sonam Sharma et al. · Patent No: USXXXXXXXX · Filed: Year · Granted: Year
Assignee: Your Company Name
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3
Patent · Filed
Add your patent title here — e.g. "Real-time Anomaly Detection in Financial Transactions using Graph Neural Networks"
Inventor: Sonam Sharma et al. · Application No: XXXXXXXXXX · Filed: Year
Assignee: Your Company Name
Patent Office Link
4
Patent · Filed
Add your patent title here — e.g. "Agentic AI Workflow Orchestration with BPMN for Enterprise Automation"
Inventor: Sonam Sharma et al. · Application No: XXXXXXXXXX · Filed: Year
Assignee: Your Company Name
Patent Office Link
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What I do

Areas of Expertise

🤖
01
Generative AI & LLMs
LLM apps, prompt engineering, RAG pipelines, model evaluation and AI observability at enterprise scale.
🕸️
02
Agentic AI Systems
Multi-agent workflows via LangGraph, CrewAI, custom orchestration. Human-in-the-loop and autonomous agents.
🧬
03
Knowledge Graphs
Neo4j, graph analytics, knowledge-grounded RAG and graph-powered AI systems for enterprise intelligence.
🛡️
04
Responsible AI
AI guardrails, evaluation frameworks, explainability, and auditable AI design for regulated BFSI industries.
⚡
05
Big Data & Real-time
Apache Spark, Hadoop, Hive, ELK Stack, HBase, and Solr for large-scale pipelines and real-time analytics.
⚙️
06
AI Orchestration
BPMN + AI with Camunda and Flowable. Intelligent workflow automation and enterprise process transformation.
🏦
07
BFSI AI Use Cases
Financial services AI — risk, compliance, fraud detection, lending intelligence, and regulatory-grade AI.
📝
08
Applied NLP Research
Research to production — 4 patents and 9 publications bridging AI innovation and enterprise business value.
Tech Stack

Tools of the trade

AI & LLMs
LangChainLangGraphCrewAIAzure OpenAIOpenAIGeminiGemmaLlamaVector DBs
Graph & Knowledge
Neo4jGraph AnalyticsKnowledge GraphsCypherSPARQL
Big Data
Apache SparkHadoopHiveHBaseSolrELK Stack
Orchestration
FastAPICamundaFlowableBPMNPython
AI Patterns
RAG PipelinesMulti-agentPrompt EngineeringModel EvaluationGuardrailsHITLAI Observability
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New articles on GenAI, LLMs, Agentic AI, Knowledge Graphs, personal finance, parenting, and analytical thinking — where logic meets imagination.

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Let's talk

Connect with me

Open to research collaborations, speaking engagements, enterprise AI consulting, and connecting with fellow builders at the frontier of AI.

💼
LinkedIn
Sonam Sharma
✍️
Medium
@analyticalpicasso
🔬
ResearchGate
Full Publication List
💻
GitHub
@analyticalpicasso
📧
Email
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