Dec 2025 – Present · 5 mos

• 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀:
• Highlights:
• Enabling banking companies to train and deploy expert AI systems (GenAI, MLOps, Agentic AI, RAG).
• Using gamified learning to accelerate AI adoption and skill-building for banking teams.
• Building agentic AI architectures for automotive clients, including Microsoft copilot, sub-agents and workflow automations.
• Integrating AI systems with enterprise tools (Power Automate) and cloud platforms (AWS, Azure).
• Deliver end-to-end, scalable and secure AI solutions (governance) customized to industry-specific needs.

May 2025 – Dec 2025 · 7 mos

• 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗕𝗮𝗻𝗸𝗶𝗻𝗴: Architecting and designing cloud and on-premise infrastructure solutions
• Highlights:
• Leading architectural reviews and performance optimization of complex systems
• Enabling Developer Teams with the Integration of GenAI Tools like Amazon Q
• Designed and implemented the AI Cloud Security Architecture for the Bank generative-AI platform, aligning with BankGArt 47, revDSG, FINMA AI Governance requirements.
• Developed the Data Confidentiality Protection Strategy, including HYOK encryption via on-prem HSMs for high-risk services (Azure OpenAI, Audit Logs) and CMKfor low-risk AI search workloads.
• Integrated Sentinel and Defender for Cloud for real-time PII-leakageand key-access monitoring; implemented immutable WORM-retention logs (2 yrs→ archive 10 yrs).
• Established AI Risk Controls (Prompt-Injection Guardrails, RBAC, PIM, Key-Vault Alerts) and drafted an AI Incident Playbook for regulated workloads.
• 𝗧𝗼𝗼𝗹𝘀: Azure (OpenAI, Sentinel, Defender, Purview, Key Vault, Monitor), Terraform, Python, Bash, GitHub Actions, HSM, BYOK

Apr 2024 – May 2025 · 1 yr 1 mo

• 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗔𝘂𝘁𝗼𝗺𝗼𝘁𝗶𝘃𝗲: Building Secure AWS Infrastructure and Securing Code Repositories
• Highlights:
• Discovered and remediated critical misconfigurations in AWS accounts; enforced IAM best practices and reduced operational costs by 20 %through optimized KMS key policies and encryption management.
• Designed IAM automation using AWS Organizations, Access Analyzer, AWS Config and Bedrock to enable GenAI-driven remediation of security findings.
• 𝗧𝗼𝗼𝗹𝘀: AWS (KMS, Organizations, Config, Glue, Athena, CodePipeline, Bedrock) | Terraform | Grafana | Python | SQL | Git | Linux | Bash

Apr 2024 – Apr 2025 · 1 yr

• 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗔𝘂𝘁𝗼𝗺𝗼𝘁𝗶𝘃𝗲: ETL & DevOps Tasks in AWS
• Highlights:
• Designed and deployed ETL jobs using Terraform, Python, and AWS, ensuring efficient data processing.
• Utilized AWS Glue, S3 and Athena for data transformation at various stages of the ETL pipeline.
• Debugged data issues, including failures and missing columns, with the help of Apache Iceberg.
• Built new iceberg tables for various logistic tasks
• Built and maintained CI/CD pipelines for GenAI and analytics applications with Terraform and AWS CodePipeline, ensuring secure and repeatable deployments.
• 𝗧𝗼𝗼𝗹𝘀: AWS (KMS, Organizations, Config, Glue, Athena, CodePipeline, Bedrock) | Terraform | Grafana | Python | SQL | Git | Linux | Bash

Feb 2024 – Apr 2024 · 2 mos

• 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗘𝗖𝗕: Leveraging AI to convert FAME to Python
• Highlights:
• Leveraged Generative AI to convert legacy FAME code to Python for the European Central Bank (ECB)
• Trained AI models using extensive FAME documentation to ensure accurate and efficient code transformation
• Documented insights and best practices throughout the AI-driven conversion process