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Build and improve natural-language applications using Python, ML algorithms, and neural networks; analyze data and customer needs to deliver AI-driven solutions.
Builds and maintains Python/Django back-end services using Firebase Realtime and MongoDB, designs RESTful APIs, and deploys Python applications.
Build and deploy production-grade LLM applications and agentic systems for enterprise clients using Python, PyTorch/TensorFlow, and MLOps tooling.
Design and build LLM-powered multi-agent systems for digital banking using Google ADK and LangGraph, integrating RAG pipelines, tool calling, and robust orchestration for production deployment.
Build and deploy AI/ML systems for finance, using LLMs, prompt engineering, and neural networks with Python, TensorFlow/PyTorch, and cloud platforms.
Build the core AI system that predicts reuse value of building components, migrating a Python/Streamlit prototype to robust, deployable code with graph data and GNNs.
Build and deploy AI/ML models to optimize airline retailing, pricing, and customer experience using Python, TensorFlow, and GCP services.
Build and improve ML models for media and entertainment software, focusing on AI techniques like deep learning and geometric methods to enhance Autodesk’s creative tools.
Build and deploy large language models and deep-learning systems to power search, recommendations, and personalization for Instacart’s grocery marketplace.
Research and develop efficient on-device AI inference systems, optimizing models and hardware-software co-design for Qualcomm’s low-power AI accelerators.
Lead firmware design for edge AI accelerators, optimizing memory, DMA, and power while co-designing hardware specs and guiding customers on deploying PyTorch/TensorFlow models on custom silicon.
Build AI-driven data solutions and DevOps pipelines for PwC’s clients, using ML, statistical modeling, and programming in Python/R/MATLAB to extract insights and automate workflows.
Builds and deploys LLM-powered AI agents using LangChain and RAG to automate business tasks and improve productivity.
Build and test ML models for quant research and feature engineering in trading, focusing on market inefficiencies and robust data pipelines.
Build AI-powered robotic perception systems for industrial welding using deep learning, sensor fusion, and 3D computer vision to automate manufacturing workflows.
Build AI agents and ML models to automate KYC workflows for corporate banking clients, using agent orchestration frameworks, entity resolution, and graph analytics under strict compliance standards.
Lead AI and machine-learning projects at Mayo Clinic, building predictive models and data-analysis tools to improve patient care and support clinicians with actionable insights.
Lead AI-driven time-series modeling and Agentic AI deployments for semiconductor manufacturing and facilities operations, building anomaly detection and forecasting systems at enterprise scale.
Build and deploy AI-powered tools to modernize banking platforms, focusing on generative AI, automated testing, and developer productivity using Python/Java and cloud services.
Research and build AI/ML models to detect and evaluate security incidents from behavioral data, applying modern architectures like transformers to cybersecurity challenges.
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