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AI Engineer with less than a year in Multi-Agent Systems & Generative AI
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Assessing your cultural and operational fit
Results-driven AI Engineer with hands-on experience designing and deploying production-grade multi-agent systems, generative AI pipelines, and intelligent workflow automation platforms. Proficient in Claude Code, OpenAI API, and Claude API for building fully autonomous agent architectures. Expert in Retrieval-Augmented Generation (RAG), LangChain orchestration, N8N automation, and FastAPI backend engineering. Currently leading end-to-end architecture of a 15-plus agent autonomous platform for a US luxury asset management company spanning 6 metropolitan markets. Strong alignment with engineering culture at AI-first organizations including Anthropic, OpenAI, Google DeepMind, Microsoft, and Amazon.
Aurora's Technological and Research Institute
Bachelor of Technology · Computer Science Engineering (Artificial Intelligence and Machine Learning)
January 1, 2021 – January 1, 2024
Galactix Solutions
AI and ML Engineer Intern
December 1, 2025 – Present
Hyderābād, Telangana, India
Data Minds
Data Science Intern
February 1, 2025 – July 1, 2025
Hyderābād, Telangana, India
AI Career Guidance Chatbot - RAG-Powered
December 1, 2025 – June 1, 2026
- Developed an LLM-powered career guidance chatbot using LangChain, Claude API, and OpenAI API with context-aware, personalized responses delivered via a RAG retrieval layer. - Increased answer relevance by 45 percent through vector-backed RAG retrieval and reduced LLM hallucination rate by 30 percent via advanced prompt engineering and output validation. - Deployed a Streamlit frontend with session-based conversation management, validated across 200 or more test users during the evaluation phase.
Luxury Asset Maintenance Platform - 15-Plus Agent Autonomous System
December 1, 2025 – June 1, 2026
- Architecting a fully autonomous multi-agent SaaS platform serving 6 US metropolitan markets including New York City, San Francisco, Los Angeles, Miami, Dallas, and Austin for luxury asset services including yacht cleaning, villa maintenance, private jet servicing, and mansion care. - Designed a 3-tier agent hierarchy consisting of Marketing Manager, Execution Manager, and Finance Manager, each orchestrating specialized sub-agents that communicate autonomously via Slack with zero manual handoffs. - Marketing pipeline: Research Agent scrapes global web and social media; Analyzer Agent extracts competitor content patterns; Content Agent generates video scripts; Kling.ai renders AI-animated videos; Social Media Agent auto-publishes content with landing page calls to action. - Execution pipeline: Funnel Agent qualifies inbound leads and syncs data to CRM via N8N; Administration Agent schedules appointments and manages reminders; Service Coordinator handles real-time service issues and worker reassignment. - Finance pipeline: Accountant Agent generates invoices and sends payment links; Tax Specialist appends geography-based tax rates to billing; Financial Analysis Agent produces location-based profit-and-loss reports escalated to the CEO Agent. - Infrastructure: Auto Claude powers executive dashboards. All agents maintain structured logs, generate post-task Excel reports, and self-recover from runtime errors with zero data loss.
AI Agent - Twilio Voice Automation System
December 1, 2025 – June 1, 2026
- Built an AI-powered outbound voice platform using Twilio API and Claude API, handling 100 or more concurrent calls with real-time LLM-driven response analysis and intelligent call routing. - Integrated a RAG pipeline grounding LLM responses in domain-specific knowledge, improving call resolution accuracy by 35 percent and reducing average handle time. - Designed N8N workflows automating multi-step call flows, CRM updates, and webhook events, saving 10 or more hours of manual operations per week.
Cultural Fit Analysis
The candidate's projects showcase a strong alignment with AI-first organizations, focusing on cutting-edge AI technologies like multi-agent systems, generative AI, and LLM applications. The diversity of projects (luxury asset management, voice automation, chatbot) indicates adaptability and a broad interest in applying AI solutions across different domains. The mention of 'strong alignment with engineering culture at AI-first organizations' in the professional summary further supports a good cultural fit for an AI Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through the design of complex autonomous systems and error recovery mechanisms. Their project descriptions indicate an ability to work on end-to-end solutions and integrate various technologies. The focus on 'zero manual handoffs' and 'zero data loss' suggests an attention to operational robustness. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.