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AI Engineer with less than a year in AI Systems & Backend Engineering
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science student specializing in AI systems and backend engineering with experience building containerized microservices, retrieval-based AI platforms, and multi-agent systems. Skilled in Python, FastAPI, Docker, CI/CD pipelines, and distributed data systems with strong foundations in algorithms, operating systems, and database systems.
GLA University
B.Tech · Computer Science (AI/ML & IoT)
August 1, 2023 – Present
Annam.AI — Centre of Excellence, IIT Ropar
AI Project Intern | Team Lead | Internship
May 1, 2025 – July 1, 2025
Rupnagar, Punjab, India
Hotel Intelligence Agent & MCP Server
January 1, 2026 – Present
Built a state-aware AI service using LangGraph to automate MongoDB analytics through backend APIs with cyclic reasoning and query correction. Developed a custom Model Context Protocol (MCP) server exposing 20+ tools for schema discovery and aggregation pipelines for automated data analysis workflows. Implemented Redis-based persistence enabling sub-50ms state recovery across concurrent API requests.
Pragati AI: Intelligent Multi-Agent Decision Platform
October 1, 2025 – Present
Designed an adaptive RAG pipeline with routing strategies for simple and multi-hop reasoning queries. Architected a LangGraph-based agent orchestration system coordinating 15+ specialized agents for complex agricultural decision workflows. Implemented Redis-based persistence to maintain long-running workflows and session states across reasoning steps.
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with an AI Engineer role, focusing on practical applications of AI, agent systems, and backend services. The diversity of projects (agricultural advisory, hotel intelligence) shows adaptability and a broad interest in applying AI solutions across different domains. The experience as a Team Lead indicates a proactive and collaborative mindset. The academic background in Computer Science with a specialization in AI/ML & IoT further reinforces a strong cultural fit for an AI-centric organization. The awards and achievements also highlight a drive for innovation and problem-solving.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership potential through their role as a Team Lead, managing a 5-member engineering team and the full SDLC. Their project descriptions suggest an ability to tackle complex problems (e.g., multi-hop reasoning, cyclic reasoning) and implement robust solutions with persistence mechanisms. The focus on containerized microservices and CI/CD implies an understanding of modern DevOps practices, contributing to operational fit. However, without specific psychometric or English test results, a deeper assessment of stress handling, team collaboration, and communication clarity beyond written descriptions is not possible.