My Professional Journey

Undergoing hands-on training in building and deploying Generative AI agents. Learning to integrate AI tools with real-world applications using prompt engineering, LLM APIs, automation tools, and agent frameworks. Gaining exposure to use cases in customer support, productivity, and AI automation. ⭐ Key Learnings & Tasks: Trained in LLM-based agent workflows (OpenAI, Gemini, Claude) Built simple AI agents using LangChain and ReAct patterns Learned prompt chaining, context memory, and tool integration Collaborated with the Code Vipassana community to solve tasks Exploring use cases like AI chatbots, assistants, and automators

Actively participating in the Google Cloud Arcade program to develop cloud skills through hands-on labs and quests. Completed multiple learning tracks on Qwiklabs and Google Cloud Skills Boost, focused on Google Cloud technologies. Eligible for swags based on achievements and lab completions. ⭐ Highlights: Completed multiple quests on Compute, Networking, Storage, and Kubernetes. Consistently ranked on leaderboard for lab completions. Earned skill badges and preparing for Google Cloud certifications. Actively engaging in the Arcade learning community.

Active community member of Google Developer Group (GDG) Kolkata. Participating in technical meetups, developer sessions, and networking events to stay updated with the latest technologies and trends in web development, cloud, machine learning, and mobile technologies. ⭐ Responsibilities & Engagements: Attending GDG events, workshops, and DevFests. Engaging in discussions on emerging tech like Flutter, Firebase, GCP, and AI. Expanding professional network and learning from industry experts. Contributing to open community initiatives and knowledge sharing.