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Lead the architecture of AI/ML-driven credit card systems at a global bank, designing cloud-native apps and integrating backend tech like Java, Python, and Kafka to modernize financial services.
Build and deploy enterprise-grade generative AI systems (LLMs, RAG, agents) for Citi’s operations, integrating models like GPT-5 and Claude into Python services and APIs.
Builds and maintains React/TypeScript web apps for a government-facing client using Cesium, Flask, and FastAPI.
Lead the architecture and delivery of backend services and cloud infrastructure that power AI agent workflows, using Python, Kubernetes, AWS Bedrock, and CI/CD pipelines to ensure scalable, reliable, and secure systems.
Build and deploy AI/ML models and data pipelines for a large financial-services company, integrating predictions into member-facing services using Python, SQL, Java, and cloud platforms like AWS.
Build and deploy AI/ML models and GenAI applications, including sentiment analysis and agentic AI, using Python, SQL, and cloud platforms like AWS SageMaker.
Build and deploy AI/ML models and APIs to power customer-facing services, including sentiment analysis and agentic AI, using Python, SQL, and cloud platforms like AWS/GCP.
Build production-grade AI agents for HR and finance workflows using Python, React, and cloud tools, owning full-stack delivery from dev to production.
Lead the design and scaling of agentic AI workflows for financial advisors, integrating vendor and internal agents with governance and rapid experimentation.
Build and deploy generative AI, LLM-powered, and agentic AI systems for federal clients, using TypeScript/Python and cloud-native tooling to deliver secure, scalable solutions.
Build end-to-end features with FastAPI backends and React frontends, scaling systems and optimizing performance for global clients.
Build and maintain full-stack web apps using Python FastAPI for backend APIs and React for dynamic user interfaces, ensuring performance and scalability.
Build and maintain scalable bioinformatics workflows and tools to analyze proteomics and genomics data, enabling drug discovery and biomarker identification using R, Python, and AI-driven methods.
Project description Development of a sales planning and data analytics solution for a premium German OEM operating in the Asia region. The project delivers intuitive user interfaces tailored for business stakeholders…
Full-stack engineer building Flask backends and React SPAs to deliver financial reporting and data-visualization tools for private-asset analytics.
Builds full-stack Python (Flask/SQLAlchemy/Celery) and React apps that deliver financial analytics and data visualizations for clients.
Junior full-stack engineer building AI-driven predictive marketing tools with Python (Django/FastAPI) and TypeScript/React, learning from senior engineers in 6-week cycles.
A Senior Backend Engineer builds and maintains **Thyme Box**, a proprietary care management platform for oncology teams, using Python (FastAPI), Postgres, and AWS to streamline patient navigation, data integration, and clinical workflows.
Build and maintain the ML platform that deploys, monitors, and scales AI models for Hadrian’s autonomous factories, using MLflow, Dagster, EKS, and FastAPI.
Build and deploy AI/ML models and GenAI assistants using Python, LLMs, and vector databases; develop APIs and frontend interfaces to integrate AI solutions into products.
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