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Builds AI-driven workflow automations and integrations using LLM APIs, n8n/Make.com, and cloud tools to connect business systems and create scalable solutions.
Build and deploy AI/ML pipelines using LLMs, RAG, and vector databases with Python, LangChain, and FastAPI on GCP.
Build, integrate, and optimize AI/ML solutions using Python, LLMs, and MLOps pipelines for enterprise clients, while collaborating with data scientists and engineers.
Build full-stack web apps that blend Web3/crypto (smart contracts, dApps) with AI features, using React/Next.js, Node.js/Python, and libraries like Ethers.js and LangChain.
Build full-stack web apps integrating Web3/crypto and AI, using React/Next.js, Node.js/Python, and smart contracts; connect UIs to blockchain protocols and LLM APIs.
Builds and integrates generative AI and LLM-powered features into payment platforms using LangChain, LlamaIndex, FastAPI, and vector databases.
Senior AI Engineer builds and deploys production-grade LLM-powered systems, agentic workflows, and real-time chat services using Python, GPU infrastructure, and Azure AI.
Fine-tune and deploy private AI models (LLMs, vision) using Python, Docker, and cloud platforms; maintain scalable, secure AI solutions with prompt engineering and responsible-AI practices.
Build and fine-tune AI features, models, and agents using Python and Hugging Face to power an HR platform that simplifies global hiring and payroll.
Build and maintain AI-powered SaaS applications using AWS serverless tech, integrating AI/ML APIs like OpenAI and Amazon Bedrock.
Build and deploy GenAI and Agentic AI solutions for enterprise clients, from PoC to production, using LLMs, cloud AI services, and Python.
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Build and optimize OCR and handwriting-recognition models for an EdTech platform, turning student essays into structured text and improving teacher feedback workflows.
Design and deploy AI-driven automation for trading workflows, integrating LLMs and RPA tools with legacy banking systems to streamline operations and ensure compliance.
Build and validate AI prototypes for enterprise clients, focusing on generative AI and agentic systems to solve business challenges through rapid experimentation.
Build and validate AI prototypes (summarisation, forecasting) using LLMs and Agentic AI for enterprise clients, assessing feasibility and ROI before full-scale deployment.
Build and deploy ML models in NLP, computer vision, and generative AI, integrating them into production apps via cloud APIs and frameworks like PyTorch and LangChain.
Lead a team building enterprise-grade AI solutions for healthcare, deploying LLMs on cloud platforms like AWS/Azure with OpenShift and Kubernetes while ensuring security, compliance, and scalability.
Lead Happiest Minds’ GenAI & Agentic AI practice, building Azure AI or AWS AI solutions, driving growth, pre-sales, and enterprise delivery with frameworks like LangGraph and CrewAI.
Design and deploy ML models, LLMs, and analytical pipelines to support litigation, regulatory strategy, and AI/cybersecurity advisory for Fortune 100 clients and governments.
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