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AI Engineer with less than a year in Deep Learning & Multi-Agent Systems
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Assessing your cultural and operational fit
Computer Science undergraduate specializing in Artificial Intelligence, Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI. Proficient in Python, TensorFlow, Flask, Lang Chain, and MySQL with demonstrated experience building production-grade AI applications, RAG pipelines, fine-tuned LLMs, REST APIs, and multi-agent AI systems. Passionate about deploying scalable intelligent solutions to solve real-world problems across healthcare and enterprise domains.
GIFT Autonomous College, Bhubaneswar
B.Tech · Computer Science and Engineering
N/A – June 30, 2027
CTTC Bhubaneswar
AI/ML Intern
May 1, 2025 – July 1, 2025
Bhubaneshwar, Odisha, India
CTTC Bhubaneswar
Java Development Intern
July 1, 2024 – July 1, 2024
Bhubaneshwar, Odisha, India
AI-Powered Hospital Management System
July 1, 2024 – June 1, 2026
Architected a full-stack hospital management platform supporting appointments, electronic patient records, billing, and administration workflows for multiple concurrent user roles. Integrated AI-driven disease recommendation, automated lab report summarization, healthcare chatbot, and natural language-to-SQL assistant using RAG-based Generative AI pipelines. Developed 15+ RESTful API endpoints with Flask and optimized MySQL relational schemas for high-performance data retrieval across critical healthcare modules.
Multi-Agent Dental Appointment Management System
July 1, 2024 – June 1, 2026
Designed a conversational multi-agent AI system automating appointment booking, cancellation, rescheduling, and patient query handling with intent-based routing. Orchestrated stateful multi-turn agent workflows using LangChain and LangGraph, enabling context-aware task delegation across specialized AI agents. Built a modular, extensible agent architecture enabling rapid integration of additional AI tasks without system-wide refactoring, reducing scheduling overhead significantly.
Computer Networks and Internet Protocol
IIT Kharagpur
June 1, 2026 – Present
Introduction to Industry 4.0 and Internet of Things
IIT Kharagpur
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in applying AI to practical problems, particularly in healthcare, which suggests a drive for impactful work. The diversity of projects (full-stack hospital system, multi-agent dental system, medical image classification) indicates a broad technical curiosity and ability to adapt to different problem domains. The internships and personal projects show initiative and a commitment to continuous learning and development, aligning well with a dynamic tech environment. However, the candidate is still an undergraduate, which means their professional experience is limited to internships, and their long-term career goals are still forming.
Soft Skills & Operational Fit
The candidate's resume highlights 'Problem Solving', 'Analytical Thinking', 'Rapid Learning', 'AI Research', and 'Collaborative Development' as strengths. These indicate a proactive and adaptable mindset, crucial for an AI Engineer role that often involves complex problem-solving and continuous learning. The project descriptions suggest an ability to work on full-stack solutions and integrate AI components effectively.