Vishakha Bhavsar

Applied AI Engineer with hands-on experience building LLM-powered applications, agentic workflows, and production-ready ML systems. Skilled in FastAPI, RAG pipelines, and multi-modal AI integrations using Gemini API, LLaMA 3, and OpenAI for real client deployments. Experienced in designing voice agents, WhatsApp chatbots, and n8n automation workflows. Strong foundation in NLP, supervised learning, prompt engineering, and full-stack AI product development from backend APIs to cloud deployment.

Applied AI Engineer Intern at Cre8anything (2026-02 – 2026-05)

• Built LLM-powered agentic pipelines using n8n, integrating Groq LLaMA 3 and Gemini API for real-world client automation workflows.
• Developed Twilio WhatsApp chatbot and VAPI voice agent for automated customer query handling, lead qualification, and appointment routing.
• Built n8n email automation workflow reading from Google Sheets and generating hyper-personalised client emails via Groq LLM.
• Integrated Gemini Vision API for intelligent document processing, structured data extraction, and packaging compliance validation.
• Developed XGBoost-based employee attrition prediction module with explainable AI outputs for HR decision-making.
• Designed modular REST API architecture with role-based access control and multi-tenant data isolation for secure ERP operations.

AI Model Trainer & Reviewer at Outlier.AI (2024-10 – 2025-01)

• Evaluated and corrected AI-generated outputs through step-by-step reasoning validation across math, coding, and NLP tasks.
• Maintained detailed evaluation rubrics ensuring consistency across multi-task LLM benchmarking and RLHF feedback pipelines.
• Identified systematic hallucination patterns and reasoning failure modes in LLM outputs, flagging them for model improvement teams.

B.Tech in Computer Science & Technology – Silver Oak University, Ahmedabad (2022 – 2026)

HSC – Adani Public School, Mundra (2022)

SSC – Adani Public School, Mundra (2020)