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Senior Applied AI Engineer building LLM and retrieval systems for an AI Moderator platform that conducts expert interviews and generates structured insights. Work involves LLM orchestration, API development, and vector database optimization for enterprise and investment clients.
Own the AI Quality Platform roadmap: build LLM evaluation frameworks, observability tools, and benchmarks to measure and improve AI model performance and reliability for enterprise applications.
Principal AI Software Engineer at Snowflake working on AI-native solutions for enterprise data. Focuses on defining technical strategy for AI initiatives, building multi-agent systems, and ensuring reliability of LLM-based applications at scale.
Develops and evaluates autonomous AI agents, focusing on RAG systems, performance metrics, and safety protocols to mitigate hallucinations and improve agent capabilities.
Senior Data Scientist designs and deploys ML models (traditional, deep learning, NLP, LLM/GenAI) on Azure/Databricks to solve fintech risk and compliance challenges.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
Designs and builds scalable cloud-native AI/ML and GenAI infrastructure for Toyota Financial Services, focusing on MLOps/LLMOps, GPU-accelerated compute, and secure model deployment at enterprise scale.
Designs and secures AWS-based microservices, hybrid/multi-cloud infrastructure, and AI agent solutions for Hyatt’s enterprise platforms, focusing on scalability, Zero Trust, and Snowflake integrations.
Develops production-grade LLM services on Azure, turning models into secure, scalable APIs while optimizing cost, reliability, and performance through observability and integration with data/product teams.
Lead a team building secure, scalable enterprise apps in Java/Spring Boot and Python, integrating AI/ML features and RESTful APIs for JPMorgan Chase’s fintech systems.
Build and lead enterprise-scale agentic AI systems for financial services, designing planning, memory, and orchestration layers while integrating LLMs into production workflows.
Builds and scales production-grade AI/LLM systems, including RAG pipelines, chatbots, and automation workflows, using Python/JS and cloud infrastructure to solve enterprise challenges.
Senior AI Engineer builds production-grade agentic workflows and backend services in Python, integrating LLM orchestration, RAG, and cloud AI tools to deliver enterprise AI solutions.
Architect end-to-end generative AI solutions (LLM training, deployment, RAG workflows) on NVIDIA hardware, working directly with customers and internal engineering teams to design and optimize large language model systems.
Leads hands-on Developer Relations for India's AI Labs, helping researchers and teams adopt NVIDIA platforms for model development, training, optimization, deployment, and production inference; core technologies include NVIDIA AI tools like NIM, Triton, CUDA, and TensorRT.
Lead Developer Relations for NVIDIA in India, engaging AI Labs and conglomerates to adopt NVIDIA’s AI platforms through demos, workshops, and technical guidance.
Designs and deploys production AI/agentic systems for business use, focusing on agent infrastructure, integrations, and client-facing transformation. Leads AI product roadmaps, evaluates system reliability, and ensures secure, cost-effective deployments.
Principal AI Engineer at Snowflake’s Cortex CoWork team, defining AI-driven enterprise data solutions. Focuses on agentic reasoning, NL-to-SQL, and scalable RAG systems for Fortune 500 clients, leading technical strategy and mentoring engineers.
Design and scale real-time data pipelines for AI systems, including RAG pipelines, vector databases, and semantic layers to power agentic AI reasoning over enterprise environments.
Design and scale real-time data pipelines for AI systems, including RAG and vector databases, to power agentic reasoning over enterprise IT environments.
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