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Build and scale predictive/prescriptive analytics and ML models for a global biopharma company using Python, PySpark, SQL, and Palantir Foundry.
Lead AI/ML model development for enterprise-scale financial data reconciliation, deploying Agentic AI and LLMs to optimize banking operations and risk processes.
Build, deploy, and maintain AI/ML models including LLMs and Agentic AI systems using cloud platforms like Azure and GCP to solve business and scientific problems.
Build and optimize PySpark pipelines for large-scale data processing, using HDFS, YARN, and Spark SQL to deliver clean datasets for analytics and reporting.
Build and optimize PySpark pipelines for large-scale data processing, tuning performance and integrating with Hadoop, HBase, and SQL databases.
Lead a team to design and build scalable data pipelines on Hadoop/Databricks and cloud platforms, enabling analytics and GenAI/LLM-ready data ingestion for enterprise clients.
Build and ship ML systems that autonomously optimize retail-media ad spend for thousands of brands in real time using Python, GCP, and reinforcement learning.
Build and ship ML systems that autonomously set ad bids and allocate budgets for retail-media advertisers in real time, using Python, GCP, and emerging LLM-based reasoning layers.
Build and optimize data pipelines using Snowflake, Databricks, Python, and SQL to deliver scalable analytics solutions for financial clients.
Build and deploy ML models and pipelines using Python, TensorFlow/PyTorch, and MLOps tools; analyze data to drive business decisions.
Build and maintain data pipelines that feed AI agents in a proptech startup, using Python, SQL, and cloud tools to clean and organize data for models and insights.
Build and maintain an AI-forward data platform using Databricks, Python, PySpark, and cloud services to power analytics and ML for life-sciences clients.
Optimize a Python/Streamlit app by tuning PostgreSQL queries, reducing memory usage, and improving API integrations.
Builds Python backend services and data pipelines for a vehicle pricing platform, using FastAPI/Flask, PostgreSQL, and Airflow to process and expose pricing insights.
Builds and maintains ETL pipelines in Python to integrate tax-sector data sources using Pandas, Pyarrow, Polars, and MS SQL Server.
Build and maintain Python-based ETL pipelines and data-integration apps for tax-related business processes, using Pandas, NumPy, SQL, and REST APIs.
Build and maintain a SaaS backend in Python/FastAPI that processes post-transaction data, using PostgreSQL, Azure, and CI/CD pipelines.
Build and deploy AI/ML models in Python for HR software, integrating them with backend systems using Django and Kubernetes.
Build and maintain Python-based backend services for a SaaS platform using FastAPI, PostgreSQL, and Azure, with CI/CD and automated testing.
Builds and deploys Python-based ML services and APIs for fintech, logistics, and healthcare clients using Django/Flask, TensorFlow, and DevOps/MLOps tooling.
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