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Build and maintain AI-powered platforms that automate terminology workflows and integrate LLMs/AWS services to support clinical decision-making in healthcare.
Leads cloud and AI modernization for federal agencies, designing HPC and AI-ready platforms while advising senior leadership on FedRAMP-compliant cloud transformations.
Principal Architect at Zafin defines and enforces enterprise-wide AI platform standards for agent orchestration, integration, and governance, ensuring scalable, secure, and compliant AIOS implementations for regulated financial institutions.
Build AI-powered agentic software development platforms using AWS, Strands Agents, Bedrock, and Python to automate code understanding, testing, and SDLC workflows.
Design and optimize ML pipelines, LLM serving, and GPU architectures for generative AI solutions using frameworks like PyTorch, Hugging Face, and vLLM.
Lead the design and implementation of scalable, AI-ready data platforms for a large investment firm, leveraging cloud-native tools like Snowflake, Databricks, and Dremio to support generative AI and machine learning workloads.
Build and maintain Capital Group’s enterprise AI platform, integrating vector databases, agentic architectures, and AWS services like Amazon Bedrock to enable secure, scalable AI solutions for financial services.
Implement AI-specific security controls and guardrails for LLMs and AI systems, assess threats like prompt injection, and embed security into AI development pipelines at DHL.
Consultant to Director role designing and implementing generative AI and agentic solutions for banks, focusing on use cases like customer service, risk, and regulatory reporting.
Builds secure, AI-enabled banking features using Go/Python/TypeScript on AWS with Terraform and GitOps CI/CD, hardening prototypes into compliant production systems.
Architect and own LSports’ GCP-based cloud platform and its agentic AI layer, designing scalable, secure systems for real-time sports data and LLM-powered automation.
Build AI-driven automation for software engineering at a global bank: design deterministic agents, integrate LLMs into CI/CD, and deploy scalable cloud-native systems using AWS/GCP.
Design and build production-grade AI systems, including LLM-based and agentic applications, using Python and modern orchestration frameworks while leading end-to-end delivery for Adobe’s conversational AI solutions.
Design and lead AI-driven platforms using LLMs and MLOps, ensuring scalable, secure systems aligned with business goals and ethical standards.
Leads full-stack development and architectural decisions for web (React/TypeScript), mobile (Flutter/Dart), and backend (Python/Node.js) systems, with a focus on AWS serverless (Lambda, DynamoDB, etc.) and AI-driven prototyping using GenAI tools like Claude and Amazon Bedrock.
Design enterprise-scale AI architectures for agentic systems and foundation models, ensuring secure, compliant deployment across AWS, OpenAI, and Databricks to accelerate drug discovery and delivery.
Build and scale cloud-native AI platforms and backend systems, including RAG pipelines and event-driven architectures, using AWS and modern AI frameworks.
Designs and builds scalable data pipelines and cloud-native architectures for government and enterprise clients, focusing on high-performance data systems and AI integration.
Lead a team building AI-driven automation to detect and fix cloud security misconfigurations across AWS, Azure, and GCP, integrating agentic workflows into developer pipelines.
Designs enterprise AI solutions (RAG, agents, assistants) and integrates them with clients’ systems using cloud services and APIs.
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