Vivekanand Chimman

Design and build production-ready agentic AI systems using LLMs and orchestration frameworks to automate real-world workflows across communication, scheduling, and personal productivity. Passionate about multimodal AI, tool-using agents, and scalable GenAI applications deployed to end users.

Agentic AI Engineer at JRVS (2025-10 – Present)

• Designed and developed an end-to-end agentic AI application using LangGraph with GPT as the primary LLM and LLaMA as a fallback model.
• Architected multiple task-specific agents (email, calendar, reminders, alarms, ordering, briefing) coordinated by a supervisor agent.
• Implemented intelligent email management including drafting, replying, summarization, and auto-triage for Gmail and Outlook.
• Built calendar and task automation for creating, fetching, and syncing events, reminders, and tasks across platforms.
• Enabled hands-free interaction and conversational control through chat-based and voice-enabled workflows.
• Developed persona-aware behavior modes (personal, work, student) adapting responses and task execution contextually.
• Delivered daily AI briefings based on user schedules, tasks, reminders, and personalized interests (markets, sports, AI, science, politics).
• Built custom tools and agent logic entirely in Python, integrating APIs and system actions without external orchestration platforms.
• Collaborated on UI/UX development using JavaScript via leveraging vibe-coding workflows for rapid iteration.
• Contributed to iOS production readiness and successfully submitted the application for App Store launch.

B.E. in Civil Engineering