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Build and deploy AI-driven solutions for a financial firm, focusing on GenAI, LLMs, and scalable ML models using Python, C#, and Azure.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, and vector/graph databases.
Design and own the AI architecture for an agentic patent-intelligence assistant, ensuring scalable, secure LLM-based systems and retrieval workflows aligned with responsible-AI standards.
Build and maintain AI-powered conversational agents using Google Dialogflow CX and Vertex AI to handle customer travel queries and bookings.
Build and validate agentic AI features for a patent-intelligence platform using NLP, LLMs, and retrieval strategies to power natural-language patent analysis workflows.
Build and optimize cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Lead a team to design, build, and deploy AI-powered tax tools using Python, FastAPI, and .NET Core, while managing client relationships and code quality.
Lead a team building a next-gen GenAI Co-Pilot that delivers real-time intelligence and autonomous guidance for security analysts using LLMs, RAG, and agentic workflows.
Presales role guiding customers on ServiceNow’s AI and data platform solutions, demonstrating features and aligning tech to business needs.
Builds and deploys AI/ML systems, focusing on LLM fine-tuning, vector databases, and MLOps to turn prototypes into secure production solutions.
Lead AI/ML and Generative AI projects from concept to production, coordinating cross-functional teams and ensuring Responsible AI compliance while driving enterprise adoption and performance tracking.
Build AI/ML-powered features for ClickHouse Cloud, integrating inference APIs and user interfaces to help users extract value from data using TypeScript and React.
Builds and scales backend systems in Python, Go, Rust, and WebAssembly, leveraging AWS services and databases like PostgreSQL and MongoDB for a fast-growing platform.
Lead a team building and scaling Fitch’s core data and ratings platform using Java, Python, AWS, and Kafka, while integrating AI/ML to enhance data solutions and developer productivity.
Build and run the production infrastructure for Ingersoll Rand’s GenAI program, automating CI/CD, observability, and reliability for LLM-powered apps on GCP and Snowflake.
Build and operate the cloud and DevOps infrastructure that powers Ingersoll Rand’s GenAI program, focusing on GCP, Snowflake, CI/CD, and observability for LLM-based applications.
Build and operate the cloud and MLOps infrastructure that powers Ingersoll Rand’s GenAI program, focusing on GCP, Snowflake, CI/CD, and AI observability.
Build and deploy AI/ML pipelines using Python, FastAPI, and cloud services like GCP to serve vector-based models and microservices.
Build and maintain secure, scalable cloud infrastructure for client products using AWS/GCP, Kubernetes, Terraform, and CI/CD pipelines.
Build and maintain secure, scalable cloud infrastructure for client projects using AWS/GCP, Kubernetes, Terraform, and CI/CD pipelines.
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