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Design and implement AI-driven workflows for driver assistance and firmware development, integrating RAG and agentic systems while ensuring responsible AI use.
Designs and deploys AI models, analyzes datasets, and coordinates third-party delivery for an AI-focused product team.
Build production-grade AI systems using LLMs, agentic workflows, and ML models, integrating them into customer and operational processes.
Build and optimize production-grade AI systems for a healthcare compliance platform, focusing on LLM pipelines, agent architectures, and structured extraction to improve clinical care quality at scale.
Build and deploy AI-driven automations and agentic systems to modernize financial workflows at a fintech company using Python, LLMs, and BI tools.
Build and own end-to-end AI systems at LinkedIn scale, from model training to GPU fleet management, driving measurable member and business impact through production recommender and classification systems.
Build and own end-to-end AI systems at LinkedIn scale, from model training to production GPU fleets, driving measurable impact on member and business outcomes.
Designs, builds, and deploys full-stack AI systems and intelligent agents, leading product strategy and integrating emerging AI technologies.
Senior full-stack engineer building AI-powered healthcare features to guide members to optimal care and medications using Node.js, React, and modern AI/ML tools.
Sell enterprise AI data-training services to AGI/GenAI labs, building long-term client relationships and driving multi-million-dollar deals for curated datasets and annotation workflows.
Build and maintain data pipelines, warehouses, and analytics to support cross-sector decision-making using Python, SQL, and cloud platforms.
Research scientist building and fine-tuning vision and language models, improving robustness, efficiency, and training pipelines using PyTorch/JAX.
Build and optimize Java-based back-end components for training and evaluating large language models, collaborating with cross-functional teams to improve AI performance and alignment.
Build and deploy LLM-based GenAI systems using Python, Langchain, and RAG pipelines, collaborating with teams to shape AI roadmaps and productionize models.
Red-team frontier AI models to expose hidden failure modes and edge cases, then turn findings into rigorous benchmark tasks for evaluation.
Develop and validate C/C++ code for next-gen dialog agents, ensuring quality and scalability while collaborating with cross-functional teams in a fast-paced AI environment.
Builds and validates AI-generated Go code for next-gen dialog agents used in education, entertainment, and Q&A, while leading feature development and mentoring engineers.
Build and evaluate datasets of verifiable software-engineering tasks from public GitHub repos to train LLMs on realistic coding problems, including environment setup, issue triage, and test-coverage analysis.
Lead enterprise-scale GenAI projects for Fortune 500 clients, designing and building scalable LLM-powered systems with RAG, agents, and Graph-RAG architectures.
Senior engineer building enterprise-scale GenAI apps using LLMs, RAG, and agent frameworks; designs backend services and integrates AI into Fortune 500 systems.
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