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AI Engineer with less than a year in Python & Generative AI
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Assessing your cultural and operational fit
Innovative and analytical Master of Computer Applications (MCA) graduate specializing in designing intelligent applications, building GenAI-powered solutions, and optimizing microservices. Hands-on corporate internship experience developing Python backend code architectures, integrating RESTful web APIs, and implementing structured database storage. Highly proficient in working with Large Language Models (LLMs), engineering prompt structures, and configuring semantic retrieval systems. A strong problem solver with excellent communication and collaboration abilities, eager to engineer scalable AI workflows and autonomous software tools.
Narayana Engineering College
Master of Computer Applications (MCA)
N/A – June 30, 2025
Sri Chandra Reddy College
B.Sc. Computer Science · Computer Science
N/A – June 30, 2023
Zucitech Software Solutions
Software & Data Operations Engineer Intern
November 1, 2025 – May 1, 2026
Bengaluru, Karnataka, India
Autonomous LLM-Based Chatbot Core Workflow
June 24, 2026 – Present
Architected an AI-powered conversational assistant implementing advanced prompt engineering strategies to isolate business context. Orchestrated independent AI agents with specific tool access patterns to execute live calculations and dynamic file validation logic. Packaged the complete conversational workflow using Docker containers to establish seamless deployments across local sandboxed frameworks.
Enterprise Knowledge Retrieval RAG Pipeline
June 24, 2026 – Present
Engineered an intelligent document search application leveraging LangChain to parse, chunk, and index unstructured technical manuals. Implemented semantic text embedding mapping to store vector representations in vector databases for lightning-fast retrieval loops. Integrated a high-performance FastAPI backend layer to serve low-latency search requests and parse nested JSON payloads.
Cultural Fit Analysis
The candidate's project diversity, including an 'Autonomous LLM-Based Chatbot' and 'Enterprise Knowledge Retrieval RAG Pipeline', demonstrates a broad interest and practical application of AI concepts. The academic background (MCA) and internship experience, though limited, show a commitment to continuous learning and professional development. Participation in algorithmic challenge hackathons and collaborative student projects indicates a team-oriented mindset and initiative, which are positive indicators for cultural fit within an innovative AI engineering team.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, analytical thinking, cross-functional team collaboration, and technical documentation skills. These indicate a good operational fit for a role requiring collaborative development and clear communication of technical solutions. The internship experience also suggests an ability to work within structured development workflows and diagnose defects.