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Designs and evaluates AI-driven data solutions for Sales and Marketing at Thermo Fisher Scientific, focusing on LLM agents, data readiness, and analytics using Python, SQL, and cloud platforms.
Build and secure cloud environments on GCP and Azure to host AI models, vector databases, and LLMOps tooling for a financial services firm’s AI transformation.
Build and fine-tune large language models for healthcare using proprietary medical datasets, then deploy them into production workflows and agentic AI systems.
Principal Cloud Developer designs and builds cloud-native, AI-enabled enterprise applications, leading architecture, scalability, and MLOps practices in a hybrid role based in Bengaluru.
Build and ship an agentic AI platform using LLMs, RAG, and multi-agent orchestration on Azure, while mentoring engineers and setting GenAI technical direction.
Leads a team to build and modernize cloud-native clinical data platforms and AI solutions for Johnson & Johnson’s R&D and healthcare innovation, ensuring scalable, compliant, and AI-ready data assets.
Architect and build cloud-native, AI/ML-powered enterprise applications, leading end-to-end technical strategy, scalability, and MLOps/LLMOps practices.
Builds and maintains full-stack insurance applications using React, Java/Spring Boot, and Python, with cloud-native deployments on Azure/AWS and DevOps practices.
Build and operate a secure, scalable AI platform to deploy and manage LLM services across providers, ensuring high availability, cost efficiency, and enterprise-grade governance for legal-tech products.
Build and lead the AI-powered workflow platform using Firebase, LLMs, and agentic workflows, scaling into a CTO role as the team grows.
Build and scale cloud-native SaaS microservices in Python and AWS for a fintech analytics platform, using React for UI and AI tools to accelerate development.
Build and optimize AI-powered applications using LLMs, RAG, and AI agents, while designing scalable AI infrastructure and collaborating with cross-functional teams.
Build and scale AI-powered backend services for CoCounsel International using Python, FastAPI, and PostgreSQL, integrating LLM providers and agentic workflows for legal professionals.
Lead a team building AI-driven enterprise search and analytics for legal, tax, and compliance professionals using RAG, agents, and full-stack web tech.
Lead the design and scaling of enterprise-grade AI systems, including RAG pipelines and autonomous agents, for legal, tax, and compliance domains using Python, PyTorch, and cloud-native architectures.
Build and deploy production-grade AI and Generative AI solutions in the cloud using LLMs, RAG pipelines, and Agentic AI workflows for global enterprise clients.
Build AI-powered tools and automation for finance platforms using Python, SQL, and LLM frameworks like LangChain to improve developer productivity and operational efficiency.
Lead AI delivery for an insurance firm, overseeing GenAI/RAG projects, MLOps, and Python-based model development while coordinating cross-functional teams to deploy production-ready solutions.
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.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
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