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| Full-stack software engineer with expertise in Python/JavaScript, AWS Bedrock, and production-grade distributed systems; experienced in leading requirements, debugging issues, and delivering scalable, observable solutions. |
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Career Objectives:
Customer-facing software engineer with 6+ years shipping production systems end to end in Python and JavaScript. Specialize in taking solutions from prototype to production - APIs, integrations, agentic / LLM workflows, and evaluation harnesses - with measurable reliability gains.
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| 5+ years building production-grade AI and data systems across healthcare, insurance, and financial services; experience with LangChain, OpenAI API, RAG pipelines, Palantir Foundry; full-stack Python/TypeScript development; cloud infrastructure on AWS/Azure/GCP. |
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Career Objectives:
Forward Deployed Engineer focused on AI/data systems with enterprise impact, leveraging LLM-powered workflows and scalable data pipelines.
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| AI Engineer with 4+ years designing and deploying production-grade Generative AI, LLMs, and agentic AI systems across pharmaceutical and retail domains. Expertise in RAG pipelines, LangChain/LangGraph, fast API microservices on AWS/Azure, and end-to-end ML lifecycle. |
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Career Objectives:
Aspire to design and deploy scalable AI/ML systems, with a focus on Generative AI, LLMs, and multi-agent orchestration to accelerate enterprise drug development, regulatory processes, and clinical decision support.
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| Agentic AI Engineer with 4+ years of experience architecting and deploying autonomous LLM systems, Enterprise RAG pipelines, and multi-agent orchestration frameworks across financial services and telecom environments. |
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Career Objectives:
Agentic AI Engineer focusing on architecting and deploying autonomous LLM systems, Enterprise RAG pipelines, and multi-agent orchestration.
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| AI/ML Engineer with 3+ years of experience designing, deploying, and scaling production Machine Learning and Generative AI solutions for enterprise applications. Experienced in building LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, Agentic AI workflows, AI microservices, and end-to-end MLOps pipelines. |
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Career Objectives:
AI/ML Engineer focused on designing, deploying, and scaling production ML and Generative AI solutions for enterprise applications.
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| Customer-facing Software Engineer with 3+ years of experience across enterprise B2B SaaS platforms. Expertise in authentication, OAuth 2.0, SSO, API reliability, observability, and scalable integrations. Strong background in AI tooling and cross-functional collaboration. |
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Career Objectives:
Software engineer focused on enterprise authentication, OAuth 2.0, SSO, and API integration for B2B SaaS.
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| Over 19 years of enterprise infrastructure experience specializing in multi-agent LLM orchestration, RAG pipeline design, MCP integration, and AWS Bedrock. |
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Career Objectives:
Forward-deployed engineer and AI systems architect delivering enterprise-scale AI, multi-agent systems, and scalable infrastructure.
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| Software Engineer with 2 years of experience deploying production AI systems, client-facing agentic workflows, and LLM integrations; strong background in full-stack development and DevOps. |
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Career Objectives:
Pursuing roles in AI/ML engineering focusing on production AI systems and LangGraph integration.
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| Generative AI Engineer with 3+ years of experience building and deploying production-grade LLM systems, RAG pipelines, and agentic AI frameworks across AWS, GCP, and Azure. Delivered AI solutions reducing manual effort by 60%+ in regulated enterprise environments. Pursued MS in Computer Science at University at Buffalo. |
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Career Objectives:
To leverage Generative AI expertise in building production-grade LLM systems and scalable AI solutions across cloud platforms.
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| Data Engineer with 4+ years of experience integrating data pipelines, AI models, and APIs into production systems across cloud environments; proficient in Python, SQL, PySpark, and modern data tooling. |
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Career Objectives:
Seeking a data engineering role to design scalable data pipelines and AI-enabled data platforms in enterprise environments.
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| Results-driven Data Engineer with 5 years of progressive experience architecting enterprise-scale ETL/ELT pipelines, big data platforms, and AI-powered analytics infrastructure across financial services and healthcare domains. |
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Career Objectives:
Data Engineer focused on designing scalable ETL/ELT pipelines and cloud-based data platforms.
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| AI/ML Engineer with 4+ years of experience building and deploying production ML systems across financial services and enterprise software. Skilled in end-to-end pipelines, Generative AI, RAG systems, and multi-agent workflows using Python, PyTorch, LangChain, and Azure OpenAI. Experienced in scaling ML infrastructure on Spark and Databricks with strong MLOps and model governance practices. |
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| Forward Deployed Engineer with 4+ years of experience integrating AI models, data pipelines, and intelligent workflows into enterprise environments. Proficient in Python, SQL, and cloud infrastructure with hands-on ML Ops. |
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Career Objectives:
Seeking opportunities in AI/ML engineering roles focusing on deploying production-grade AI systems.
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