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Build and deploy GenAI applications using Python, LLM frameworks, and vector databases, then optimize and integrate them into cloud-based microservices.
Lead AI/ML initiatives for JPMorgan’s Risk Management, building and deploying multi-agent systems and scalable analytics to drive compliance and business value.
Build and deploy secure, scalable Java/Spring Boot microservices on AWS that power autonomy and AI features for heavy equipment, using real-world machine data to improve jobsite performance.
Lead backend engineering for autonomy services at Caterpillar, designing scalable Java/Spring Boot microservices on AWS and guiding AI-assisted development workflows.
Designs and deploys cloud-native backend services (Java/Spring Boot) for Caterpillar’s autonomy platform, integrating AI agents, microservices, and AWS to improve heavy machinery intelligence and scalability.
Lead architecture and development of backend microservices and APIs for autonomy services, integrating AI models, digital twins, and cloud-native platforms to power Caterpillar’s connected machines.
Leads cloud-native architecture and AI-driven integration for Caterpillar’s digital twin and simulation platforms, designing scalable microservices, APIs, and AI-agent workflows to connect industrial assets and improve real-world fleet performance.
Staff Software Engineer specializing in AI-driven software development, focusing on integrating generative AI tools (e.g., LLMs, RAG) to automate coding, debug systems, and enhance platform reliability for a fintech bank.
Design and build enterprise-scale data pipelines and cloud architectures on AWS, Databricks, Snowflake, and PySpark, while enabling AI-ready data platforms and leading cross-functional teams.
Designs and builds AI-driven automation and data-integration systems that orchestrate connectors, manage data flows, and enable end-to-end AI use cases using Python, LangGraph, and cloud platforms.
Build and fine-tune large language models for healthcare using proprietary medical datasets, then deploy them into production workflows and agentic AI systems.
Build and ship an agentic AI platform using LLMs, RAG, and multi-agent orchestration on Azure, while mentoring engineers and setting GenAI technical direction.
Build AI-enabled client-facing platforms for Prime Brokerage and Hedge Fund clients using full-stack development, LLMs, RAG, and cloud-native architectures.
Lead a Java-based AI platform using Agentic AI, Langchain, and RAG to modernize financial services systems, mentoring a team while designing scalable microservices and integrating AI workflows.
Builds and evaluates conversational AI agents and generative AI solutions for experience intelligence, collaborating with ML engineers and AI scientists.
Senior Staff ML Engineer at Geico serving as technical leader for Generative AI applications, designing and deploying systems using LLM, agentic, and knowledge-search capabilities across the organization.
At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where…
Build AI-powered tools and automation for finance platforms using Python, SQL, and LLM frameworks like LangChain to improve developer productivity and operational efficiency.
Principal AI Engineer builds and scales an enterprise AI/GenAI platform for an insurer, designing agentic systems, MLOps/LLMOps pipelines, and self-service tooling to accelerate AI use cases across the business.
Build and evolve AI-driven, scalable Java/Python applications using React, Spring Boot, and cloud-native tools while mentoring peers and shaping technical direction in a fintech firm.
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