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Lead a team building an AI-powered document processing platform for a global bank, using Python, React, and Google Cloud to automate workflows and integrate LLMs.
Design and build large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring secure, scalable data processing for downstream systems and reports.
Builds full-stack apps with Python (FastAPI) and React, deploys to cloud, and integrates ML/NLP models into production pipelines.
Build and maintain PySpark-based data pipelines that process large datasets in distributed environments, ensuring data quality and performance for downstream systems.
Design and maintain Snowflake data pipelines, optimize schemas, and migrate on-prem warehouses to Snowflake while collaborating with cross-functional teams.
Build and maintain large-scale data pipelines on Databricks using Python, PySpark, and cloud-native tools to process and deliver clean data for analytics and AI workloads.
Build intuitive AI interfaces and scalable systems for generative AI and computer vision, using full-stack skills in TypeScript, React, Node.js, Python, and cloud tools.
Build intuitive AI interfaces and scalable systems for generative AI and computer vision using full-stack skills in TypeScript, React, Node.js, and Python.
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 scale ML systems to extract structured product data from unstructured web content, improving Pinterest’s shopping search and recommendations using language models and web scraping.
Lead the design and deployment of generative AI and agentic AI systems for healthcare, including LLMs, RAG, and AI agents, while ensuring responsible, scalable, and compliant solutions.
Build and secure data pipelines for a banking client, using Scala, Spark, and cloud platforms to process large-scale data into reliable, business-ready datasets.
Builds scalable AI-powered backend systems (Go/Python) and optionally frontend apps, integrating ML/NLP models for global clients while collaborating with cross-functional teams.
Principal Software Engineer builds and scales AI-driven systems and full-stack apps in Go/Python, mentors engineers, and collaborates with global clients on high-impact projects.
Build and deploy end-to-end Python (FastAPI) backend and React frontend applications, integrating ML/NLP models and cloud infrastructure for scalable data analytics solutions.
Principal Software Engineer designs and optimizes large-scale data pipelines and architectures for ZoomInfo’s technographic data platform, integrating ML and ensuring data quality.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time model serving, and MLOps tooling in Python and cloud platforms.
Build and mentor ML systems for AI-powered tax research, using deep learning and generative AI to enhance product features.
Builds and leads a Django REST/React SaaS platform on Azure that unifies cybersecurity threat detection, MDR, and compliance automation with AI-driven insights and real-time dashboards.
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