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Own AI-powered product discovery and autonomous shopping features for B2C commerce, defining search and Agentforce workflows with engineering, data science, and UX teams.
Build and deploy production-grade ML and LLM systems across multi-cloud, designing end-to-end pipelines and MLOps workflows with PyTorch/TensorFlow and cloud-native tooling.
Build and deploy AI-native applications using LLMs, RAG, and agentic workflows in Java/Spring Boot and React, integrating with enterprise systems and cloud-native platforms.
Lead the product strategy for Hearst’s enterprise AI content platform, defining semantic search, vector embeddings, and knowledge-graph capabilities that power AI-driven search, personalization, and generative applications across media and advertising.
Build and deploy enterprise-grade generative and agentic AI solutions end-to-end, from RAG pipelines and LLM orchestration to production monitoring and cost control, in a regulated healthcare setting.
INTRODUCTION TO EVERNORTH: Evernorth Health Services India, established in Hyderabad in 2024, is an innovation hub for Evernorth Health Services, the pharmacy, care and benefits division of The Cigna Group. The…
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Build and own ML models that enrich and categorize millions of retail transactions, detect anomalies, and assess risk for Saudi Arabia’s first Open Banking platform.
Builds AI-driven automation and systems to streamline ClickHouse's sales and marketing workflows, integrating tools like Salesforce, Gong, and Python-based agents.
Build and operate secure, scalable AWS serverless services that power AI-driven features across Diligent’s governance SaaS suite, integrating LLM capabilities into production-grade solutions.
Lead a small team to build AI-powered memory and proactive intelligence systems that track user context and alert on changes, coding more than 50% of the time.
Build and deploy AI features for banking platforms, leading from prototype to production while ensuring regulatory compliance and cross-team adoption.
Build and deploy ML models to predict delivery dates, detect failures, and optimize logistics for 50M+ monthly shipments using Python, Spark, and cloud platforms.
Build and deploy enterprise-grade AI applications using LLMs, RAG, and workflow automation, integrating with enterprise systems and APIs.
Build and operate a serverless execution engine and workflows orchestration layer for industrial AI/data infrastructure, using Kotlin, Python, Kubernetes, and cloud-native stacks.
Build and ship full-stack AI systems using Claude Code, integrating LLMs and automations into production environments while owning backend, frontend, and AI layers end-to-end.
Build and deploy RAG systems and fine-tune LLMs to generate insights about flexible workspace usage, using Python, cloud MLOps, and vector databases.
Design and build AI-enabled applications, including user workflows, APIs, and data integration layers, using Python, LLM APIs, and RAG for model orchestration.
Build and ship enterprise-grade AI apps: full-stack web apps with React/Next.js and Python/FastAPI, integrating LLMs, RAG, and AI agents to automate HR and finance workflows.
Lead the architecture and delivery of enterprise AI systems using LLMs, RAG, and AI agents, setting engineering standards and mentoring teams to build secure, scalable, and responsible AI solutions.
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