𝐀𝐣𝐞𝐞𝐭 𝐂𝐡𝐚𝐧𝐬𝐚𝐮𝐫𝐢𝐲𝐚 — DevOps Engineer

🚀 AI Engineer | Generative AI | Agentic Systems | Cloud-Native AI I am an AI Engineer with 7.5+ years of experience building and deploying production-grade AI solutions across domains such as healthcare, retail, and enterprise automation. My work spans the full lifecycle of AI systems—from problem definition and architecture design to deployment, monitoring, and optimization. My recent work focuses on Generative AI and Agentic AI, where I build RAG-driven and agent-based solutions using LLMs, LangChain, and vector databases. I design asynchronous, event-driven architectures with Amazon Bedrock Agents, AWS Lambda, Step Functions, DynamoDB, and S3 to improve scalability, fault tolerance, and reduce latency. I have strong hands-on experience in containerizing and deploying AI services using Docker, Amazon ECR, and AWS ECS, exposing secure APIs through API Gateway, monitoring with CloudWatch, and enforcing IAM-based guardrails for least-privilege access and secure AI workflows. I actively apply Responsible and Ethical AI practices, including prompt safety, output validation, data governance, access control, and human-in-the-loop mechanisms, ensuring AI systems are secure, compliant, explainable, and enterprise-ready. 🔑 𝗞𝗲𝘆 𝗦𝗸𝗶𝗹𝗹𝘀: 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python, SQL 𝗔𝗜/𝗠𝗟 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Agentic Ai, Ai Agents, Amazon Lex, AWS Contact Centre, AWS Bedrock, Microsoft Copilot, Amazon Q Business, Computer Vision, NLP, Generative AI, RAG, LLMs, YOLO, TensorFlow, OpenCV, Scikit-learn, Machine Learning, LangChain, OpenAI 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: Azure, AWS 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: MySQL, FAISS, Chroma 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗧𝗼𝗼𝗹𝘀: Docker, FastAPI, GitHub, Bitbucket, VSCode, Jupyter Notebook 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Microsoft Teams, Slack, ClickUp, Miro, Microsoft Planner I am passionate about leveraging AI to solve real-world challenges, continually exploring new ways to improve model performance, automate processes, and drive value through data-driven insights.

Stackforce AI infers this person is a SaaS-focused AI Engineer with expertise in Generative AI and cloud-native solutions.

Location: Pune, Maharashtra, India

Experience: 7 yrs 9 mos