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Build an AI-powered reliability assistant using LLMs, vector search, and RAG to help engineers resolve incidents faster by retrieving and synthesizing data from observability tools and past incidents.
Build and scale a machine-learning platform that accelerates drug discovery, enabling the full ML lifecycle from development through deployment.
Lead the design and deployment of AI/ML features for a commercial real estate SaaS platform, including LLM-powered tools and custom domain models, while setting engineering standards and mentoring teams.
Build and deploy production-grade AI systems for banks and insurers, automating back-office workflows with Python, ML frameworks, and compliance-first design.
Build and deploy cutting-edge ML/NLP models (LLMs, transformers) to power real-time call-center coaching, using Python, PyTorch, and cloud infra.
Design and deploy production-grade agentic AI systems for enterprise clients, moving ideas from prototype to measurable ROI while ensuring security, scalability, and responsible AI practices.
Build AI-powered full-stack apps for Capital Markets clients using Python, FastAPI, React, and GenAI tools like RAG and LLMs.
Design and implement AI-enabled, cloud-native architectures for enterprise clients, focusing on RAG, agentic AI, and cloud modernization using Azure/GCP.
Build and own AI-powered automation for internal workflows: map processes, design agentic or deterministic solutions, ship production tools, and continuously improve them using LLMs and orchestration frameworks.
Design and build secure, compliant AI/ML platforms on AWS and Azure for a large bank, including MLOps pipelines, guardrails, and observability for regulated environments.
Optimize and analyze ML/AI performance on Arm hardware/software, feeding insights back to engineering teams and producing technical summaries.
Build and ship agentic LLM systems, RAG pipelines, and evaluation frameworks to power grant discovery and fundraising automation for nonprofits.
Lead a team of data scientists to design experiments, build predictive models, and shape AI product strategy through rigorous analytics and go-to-market insights.
Design and build GenAI and agentic AI solutions—like conversational AI and RAG systems—on Databricks and AWS to improve wealth-management workflows and decision-making.
Build and improve large-scale machine learning systems to personalize Pinterest’s Homefeed, Ads, Search, and more using deep learning and big-data tech.
Lead a team to design, build, and deploy AI/ML systems including generative models and vector databases, using Python, PySpark, SQL, and cloud platforms.
Build and deploy ML systems for video recommendations and personalization at scale using deep learning frameworks like TensorFlow or PyTorch.
Lead AI/ML and GenAI solution development, architect full-stack systems on GCP/Azure, and mentor teams while bridging business needs with technical execution.
Build and improve ML pipelines for media/entertainment tools, implementing deep-learning models in Python/C++ to process VFX and game data at scale.
Lead a team to design, build, and deploy generative AI and ML models that solve real business problems while mentoring engineers and guiding stakeholders.
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