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Designs and maintains scalable data architectures and ML pipelines, ensuring robust data governance and high-quality training data for NLP models.
Builds Python-based APIs and cloud data pipelines to aggregate financial data and automate text processing for a BPO firm.
Builds and maintains big-data pipelines and APIs using Python, Spark, Kafka, Hadoop, and SQL to process and analyze large datasets for IBM clients.
Build and deploy machine-learning models to automate decisions and insights for a global BPO provider, using Python, TensorFlow/PyTorch, and cloud platforms.
Designs and deploys ML models for localization workflows using Python, TensorFlow, and AWS services; owns projects from conception to production.
Build and deploy AI/ML models to automate business processes and generate insights from ERP data using frameworks like TensorFlow or PyTorch.
Build and maintain speech-data pipelines that feed production ASR models, including audio processing, text normalization, and quality validation.
Designs and maintains scalable data architectures, ETL pipelines, and ML data workflows to support NLP training data transformation for a global language-services provider.
Builds and optimizes Java/Spring Boot microservices and REST APIs for a customer engagement platform, with SQL and cloud experience required.
Builds and optimizes Java/Spring Boot microservices and APIs for a healthcare customer engagement platform, using SQL/NoSQL databases and cloud tools.
Build and deploy full-stack apps with React, Node.js, and TypeScript, integrating AI models and DevOps pipelines using AWS, Terraform, and GitHub Actions.
Build and scale ReciMe’s Java/Spring backend, integrating recipe APIs, multilingual support, and AI features while optimizing performance for thousands of recipes.
Build AI-powered recruiting tools using Java, Spring Boot, and Oracle tech stack; design APIs, microservices, and GenAI features for talent acquisition.
Builds automated scrapers and an AI-powered match engine to extract IT hardware inventory from auction sites and pair it with incoming RFQs using Python, Playwright/Selenium, and PostgreSQL/MongoDB.
Builds and deploys cloud-native Python and React apps for financial services using AWS, CI/CD, and modern frameworks.
Build production-grade ML systems to detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Build and deploy ML models to detect retail crime patterns, match suspects, and analyze video evidence for global retail clients using Python, computer vision, and cloud pipelines.
Build and deploy end-to-end data/AI pipelines for clients, integrating ML models, cloud-native stacks (AWS/Azure/GCP), and real-time processing to turn raw data into business insights and operational tools.
Build and deploy transformer-based NLP models for financial text extraction, owning end-to-end pipelines from data labeling to production deployment.
Lead AI and data-science engagements for retail clients, translating business needs into AI solutions and deploying models using modern frameworks and cloud platforms.
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