Applied AI Engineer with 1+ years in conversational AI & multimodal systems.
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Assessing your cultural and operational fit
Applied AI Engineer with hands-on experience in conversational AI, multimodal AI systems, AI automation workflows, and scalable AI product development. Skilled in building and deploying real-world AI systems using LLMs, RAG, Agentic AI, LangChain, Kubernetes, Docker, and cloud GPU infrastructure.
Chameli Devi Group of Institutions
B. Tech · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
Kendriya Vidyalaya
High School · Science
June 1, 2009 – May 31, 2021
Melod AI
AI Automation & Product Systems
February 1, 2026 – Present
Ghāziābād, Uttar Pradesh, India
Xalt Analytics Pvt. Ltd.
Applied AI Engineer Intern
February 1, 2025 – February 1, 2026
Indore, Madhya Pradesh, India
SERENITY AI
June 1, 2026 – June 30, 2026
Building an AI-powered digital wellness platform focused on conversational AI, real-time voice interaction, sleep assistance systems, and digital behavior insights. Developed AI workflows for calming interactions, voice systems, and permission-based behavioral analytics. Integrated AI-assisted sleep support systems, ambient sound experiences, and emotionally adaptive conversational AI pipelines.
Multi-Agent AI Advertisement Generation Platform
June 1, 2026 – June 30, 2026
Engineered a multi-agent AI system for automated cinematic advertisement generation using script generation, scene orchestration, image synthesis, and video rendering workflows. Designed orchestration pipelines involving AI script-writing agents, scene-generation agents, character-generation systems, and automated rendering workflows. Deployed scalable AI pipelines using Docker and Runpod serverless GPU infrastructure.
AI Calling Agent System
June 1, 2026 – June 30, 2026
Built a real-time AI voice agent supporting multilingual inbound and outbound calls using Twilio & OpenAI APIs. Developed a low-latency voice pipeline integrating speech-to-text, LLM-based intent detection, and text-to-speech synthesis with sub-2 second response time. Implemented conversational memory using Pinecone vector database for context-aware responses and transcript retrieval. Created an automated lead qualification system categorizing conversations into Hot, Warm, & Cold intent tiers. Built a FastAPI-based monitoring dashboard enabling real-time tracking of concurrent calls with post-call analytics. Integrated Twilio telephony APIs and ElevenLabs voice synthesis to deliver natural-sounding AI voice interactions for automated customer engagement workflows.
Complete Generative AI Course with LangChain and Hugging Face
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a strong inclination towards innovative AI projects, including digital wellness, automated advertisement generation, and AI calling agents. This diversity in projects, coupled with experience in both an internship and a current role focused on AI automation, suggests a proactive and adaptable individual. The alignment with an 'Applied AI Engineer' role is very strong due to the practical, application-oriented nature of their work. The breadth of skills across different AI paradigms (conversational, multimodal, generative, agentic) indicates a versatile and curious mindset, which generally contributes positively to cultural fit in dynamic tech environments.
Soft Skills & Operational Fit
The candidate's project and work experience descriptions indicate a strong focus on practical application and system integration, suggesting an operational fit for roles requiring hands-on development and deployment of AI solutions. The detailed project descriptions imply good problem-solving and technical communication skills, though direct assessment of soft skills like teamwork or stress handling is not possible from the provided data.