Principal Enterprise Architect | GenAI Leader | Data & Risk Modernization Expert

I am a Principal Enterprise Architect with 19+ years of experience leading enterprise-scale modernization across AI, Data, Cloud, and Risk/Compliance ecosystems. My work focuses on building governance-first, explainable, scalable GenAI platforms used across internal audit, model risk, compliance, and enterprise knowledge systems.

I bring deep experience across AWS, Machine Learning, AI Agent Systems, RAG, data engineering, and cross-functional program leadership.

• AWS (Bedrock, SageMaker, Textract, Lambda, ECS, S3, DynamoDB, IAM)
• Serverless architectures & microservices
• Cloud cost optimization & FinOps
• High-availability, DR, and scalable architectures
• API gateway, VPC design, security & encryption patterns

• AWS Bedrock (Claude, Llama, Titan, Cohere)
• Google Gemini
• LlamaIndex, LangChain, ChromaDB
• RAG (multi-retriever pipelines, embeddings, vector stores)
• Document Intelligence (Textract, OCR, IDP workflows)
• LLM Governance: lineage, auditability, drift detection
• AI Agent Systems (investment agents, audit agents, validation agents)
• Prompt engineering & evaluation frameworks
• Multi-modal GenAI (text, images, documents)

• ETL/ELT pipelines, data lakes, lakehouse architecture
• Real-time ingestion, event-driven pipelines
• SQL optimization, data modeling (3NF, dimensional modeling)
• Python data stack: Pandas, Polars, Spark, Dask
• API data integrations (Plaid, ServiceNow, Salesforce)

• Classification, forecasting, anomaly detection
• TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost
• Hyperparameter tuning, model evaluation & MLOps
• Neural networks (CNNs, RNNs, LSTMs, Transformers)
• Explainability (SHAP, LIME, interpretability frameworks)

• PSP (Policy–Standard–Procedure) governance
• Compliance control mapping & risk scoring
• Audit evidence analysis and automation
• Model Validation Agent frameworks
• Risk exception lifecycle design
• Regulatory alignment (SOX, NIST, ISO, Fed guidelines)

• AI investor agents (Buffett, Lynch, Damodaran, Ackman, Jhunjhunwala)
• Portfolio design & risk profiling
• Personal finance automation (Plaid integrations, spend tracking)
• Credit card optimization, cashflow planning
• Equity valuation models & metrics
• Trend analysis, predictive modeling

• IT strategy & enterprise roadmaps
• Program/Portfolio management
• Agile leadership: Jira, Confluence, Kanban
• Stakeholder alignment across business, risk, and technology
• Vendor management & contract evaluation
• Enterprise architecture governance and modernization

• Languages: Python, SQL, Bash
• Dashboards/UI: Streamlit, Power BI, OAC, FDI
• DevOps: GitHub, Codespaces, Bitbucket, CI/CD
• Infra: Terraform, Docker, Kubernetes
• Other: ServiceNow IRM, Postman, Lucidchart, Draw.io

• Multi-retriever RAG system
• LLM governance scoring engine
• Policy/Standard/Procedure Knowledge Graph
• Streamlit UI with audit-ready evidence

• Buffett, Lynch, Damodaran-style analysis
• Scoring engine + rationale generation
• Agent collaboration using LLMs
• Investment dashboard in Streamlit

• Automated bank/credit card aggregation
• Spend analysis + category breakdown
• Predictive budgeting
• LLM-based financial advisories

• Validate spec documents
• Check for completeness, risk, gaps
• Automated rule extraction
• Governance scoring

• Step-by-step neural network learning
• Model comparisons, confusion matrices
• Visualizations & training performance logs

• Become a leading GenAI enterprise architect
• Master Oracle FDI/OAC reporting strategy
• Build a fully autonomous AI-powered investment platform
• Improve public speaking & build a personal brand
• Build long-term financial stability for my family

• 🔗 LinkedIn: https://www.linkedin.com/in/balagorre
• 🐦 Twitter/X: https://twitter.com/balu_gorre
• 📧 Email: bala.gorre@gmail.com