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AI Engineer with less than a year in LLM & Fullstack Development
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Assessing your cultural and operational fit
AI Engineer experienced in building LLM-powered applications using Python, LangChain, RAG for intelligent document retrieval and conversational AI systems. Skilled in building semantic search systems, AI agents, and data pipelines that transform large document repositories and datasets into actionable insights. Hands-on experience delivering end-to-end AI platforms, including rule intelligence systems, business analytics agents, and NLP models, with a focus on real-world impact.
Presidency College, Bengaluru
Master of Computer Application
August 1, 2022 – June 30, 2024
JSS CACS, Mysuru
Bachelor of Science
August 1, 2019 – June 30, 2022
Epic Minds Information Technology
AI Engineer Intern
December 1, 2025 – Present
India
Zidio Development Pvt. Ltd.
Python Full-Stack Development Intern
January 1, 2025 – April 1, 2025
Bengaluru, Karnataka, India
KCSR Rule Intelligence & Case Management System
March 1, 2026 – March 1, 2026
Built a Full-stack AI application for Karnataka Civil Services Rules (KCSR) that helps government officers interpret regulations and manage administrative cases through an intelligent rule analysis system. Implemented a RAG-based semantic search and legal document analysis system across multiple rulebooks (KCSR, KTC, and KFC) to suggest relevant rules for administrative decision-making. Designed a case management system with petition tracking, case status updates, and document management to streamline administrative workflows.
AI BI Chat Agent - Business Intelligence Assistant
January 1, 2026 – January 1, 2026
Built an AI-driven Business Intelligence chat agent that converts natural language questions into actionable insights from enterprise data. Integrated Google Gemini LLM with Monday.com CRM data using GraphQL APIs, enabling real-time analytics on deals, revenue pipeline, and work orders. Enabled natural language business queries for real-time analytics and decision support.
Twitter Sentiment Analysis with Neural Networks & LLM Evaluation
August 1, 2024 – August 1, 2024
Built a real-time sentiment analysis model for classifying tweets as positive, negative, or neutral using Tensorflow, CNN and NLTK. Developed a full-stack web UI with Flask and HTML/CSS for real-time predictions.
IBM Python Data Science
IBM
September 1, 2025 – Present
AI With Python
Unknown
July 1, 2025 – Present
AWS Cloud Practitioner Certification
Amazon
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of AI skills, from legal rule intelligence to business intelligence and sentiment analysis, indicating adaptability and a broad interest in AI applications. The blend of professional and academic projects, along with certifications, suggests a continuous learning mindset. The target role of 'AI Engineer' aligns well with the candidate's project experience and stated competencies, particularly in LLM-powered applications and semantic search. The candidate's current internship as an 'AI Engineer Intern' further strengthens this alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end AI platforms, suggesting a proactive and problem-solving approach. The experience in developing full-stack applications and integrating various technologies points to a collaborative mindset and operational readiness. However, without direct assessment data on communication, logical reasoning, or teamwork, a comprehensive evaluation of soft skills and operational fit is limited.