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Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable, secure AI solutions.
Builds ML models to extract clinical insights from wearable sensor data, collaborating with customers to validate algorithms and improve digital health outcomes.
Builds ML models to extract clinical insights from wearable sensor data, focusing on time-series analysis and digital health applications.
Business Analyst bridges pharma clients with Axtria’s AI teams to scope and deliver GenAI solutions using ChatGPT Enterprise, Copilot Studio, and AWS Bedrock, driving adoption and execution across hybrid teams.
Build and deploy GenAI and agentic AI systems for pharma clients using Microsoft Copilot Studio, ChatGPT Enterprise, and AWS Bedrock, integrating structured and unstructured data pipelines.
Develops and deploys advanced AI/NLP models (LLMs, RAG, agentic architectures) to detect financial crimes like money laundering or insider trading, while mentoring junior data scientists and collaborating with compliance teams.
Design and advise customers on generative AI and ML solutions using AWS services like Bedrock, SageMaker, and Nova, including RAG pipelines, agentic workflows, and model customization.
Build and deploy production-ready AI and multi-agent systems for healthcare, focusing on secure, compliant generative AI workflows using LLMs, RAG pipelines, and cloud platforms.
Build and scale Visa’s Java-based payment systems, integrating GenAI tools and LLM APIs to enhance backend services and developer workflows.
Builds and optimizes Agentic AI/LLM systems in Python, LangGraph, and cloud-native stacks, focusing on performance, cost, and production reliability for Cisco’s AI platforms.
Build and deploy autonomous agentic AI systems using RAG pipelines, vector databases, and multi-agent architectures on GCP to automate workflows and replace manual processes.
Build and deploy scalable AI/LLM solutions for Johnson Controls, focusing on generative AI, retrieval-augmented generation, and cloud-based ML pipelines to drive digital transformation.
Leads a tiger team to modernize AI/ML platforms, integrating LLMs (RAG, embeddings) and automating data pipelines for customer identity resolution, while mentoring teams on next-gen AI development and .NET/React-based infrastructure.
Build AI-powered features for AutoCAD and Civil 3D, turning cutting-edge models into real customer workflows used by architects and engineers.
Build and deploy AI-powered web apps and analytics dashboards using Python, Streamlit/React, FastAPI, and Docker for a defense-focused government contractor.
Mid-level AI developer building and integrating locally hosted LLMs and ML models into classified government systems, focusing on secure, air-gapped environments and production-grade AI features.
Build and optimize AI-ready data pipelines, vector stores, and retrieval systems using Airflow, Elasticsearch, and Python to power large-scale AI models and RAG applications.
Lead AI engineering for classified systems: design, deploy, and secure LLMs and ML models in air-gapped environments while aligning with government accreditation and responsible-AI practices.
Build secure, scalable AI-powered search systems using LLMs, RAG pipelines, and Elasticsearch for a government customer in a TS/SCI environment.
Lead AI/ML engineering to build an AI-ready research data ecosystem for vaccine discovery, integrating diverse datasets and developing predictive models to accelerate R&D.
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