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Develops AI-driven enterprise web apps using modern stacks (Java/Python/JS) and cloud services, focusing on clean code, automated testing, and CI/CD while integrating AI tools for productivity.
Lead AI-enabled technology programs at JPMorgan Chase, coordinating cross-functional teams to deliver high-impact projects that align with business goals and leverage GenAI tools.
Builds backend services that ingest IoT, video, and energy data, deploy AI models, and integrate vendor APIs to power smart logistics and facility operations.
Develops advanced software for semiconductor device modeling and AI-assisted engineering automation using C++/Python, working with platforms like IC-CAP and MBP.
Own the product roadmap for Adobe’s knowledge and retrieval layer, turning raw data into agent-ready assets via modeling, APIs, and RAG pipelines while ensuring freshness and trust signals.
Lead the creation of a new cybersecurity practice for mid-market Canadian firms, embedding security into Azure, AI, and agentic-AI transformations while advising CIOs/CISOs on governance, risk, and cloud-native defenses.
Build Python-based AI agents to automate business processes like Excel data extraction and normalization, combining deterministic logic with LLMs for enterprise workflows.
Lead a team building secure, scalable banking systems using Java, React, AWS, and AI tools to enhance products and accelerate development cycles.
Build and maintain AI-driven automated test suites for Cisco’s Circuit AI platform using Playwright, Python, and k6, ensuring reliability and performance across releases.
Build and maintain enterprise Generative AI applications using Python, retrieval workflows, prompt design, and conversational AI integrations for Disney’s media platforms.
Lead a team to build and maintain AI-powered consumer intelligence platforms using Python and React, processing large-scale social and review data to deliver actionable insights for P&G’s brands.
Build and ship production-grade agentic AI systems that automate financial workflows and power LLM features for tens of millions of customers, using Python, Go, and TypeScript on AWS/GCP.
Python Developer role focused on building AI Evaluation Frameworks, working on global projects in a supportive, flexible tech environment.
Build full-stack AI applications for public-sector clients, deploying on-site to integrate LLMs and cloud infrastructure with React, TypeScript, and Python.
Research and develop AI agents that interact with browsers, code repositories, and GUI tools using LLMs and reinforcement learning, aiming to publish findings and ship scalable solutions.
Senior technical leader designing and deploying enterprise-scale AI solutions for Fortune 500 clients, bridging business needs with Scale’s AI platforms and influencing product direction.
Solutions Engineer at Scale AI designs and delivers tailored GenAI demos and pilots for enterprise clients, scoping technical requirements and securing technical wins through close collaboration with sales, product, and engineering teams.
Owns the end-to-end delivery of Scale AI’s Generative AI Platform (SGP), aligning engineering, product, and leadership to ship scalable, secure infrastructure for high-throughput AI workloads.
Designs and deploys AI-powered applications using large language models for internal teams, bridging engineering and product while ensuring safe, responsible integration.
Designs and implements AI-powered solutions using large language models for SpaceX’s internal teams, focusing on integration, testing, and responsible deployment.
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