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AI Engineer with less than a year in Machine Learning & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI/ML Engineer with hands-on experience in Machine Learning, Deep Learning, Generative AI, LLMs, and AI Agent development. Skilled in building AI-powered applications, multi-agent systems, and intelligent automation solutions using Python and modern AI frameworks.
Mysore University School of Engineering
B.E. · Artificial Intelligence and Machine Learning
August 1, 2021 – June 30, 2025
Alpha PU College
PUC · Pre-University Course
June 1, 2019 – May 31, 2021
Lions High School
SSLC · Secondary School Leaving Certificate
June 1, 2018 – May 31, 2019
Xitadel
Software Engineer Intern
June 1, 2026 – Present
India
Chatbot Hiring Assistant
June 23, 2026 – Present
Built an AI hiring assistant with Streamlit and Groq LLMs to collect candidate info, validate inputs, and generate tailored technical interview questions. Implemented prompt engineering workflows and SQLite-based GDPR-compliant state management for secure data handling. Designed a modern chat-style UI with custom CSS for smooth candidate interaction.
Handwritten Text Recognition with TrOCR
June 23, 2026 – Present
Fine-tuned a Transformer-based OCR model (TrOCR) on the IAM dataset using Hugging Face Transformers, improving transcription accuracy with beam search decoding. Automated the pipeline (preprocessing, training, inference, and evaluation with CER/WER) and deployed the model on Hugging Face Hub for real-world usability.
Multilingual Expressive Text-to-Speech System
June 23, 2026 – Present
Developed a multilingual Text-to-Speech system supporting 6+ languages using the Indic Parler-TTS model, generating natural and expressive speech. Built an interactive Gradio-based web application with real-time audio generation, playback, and download functionality.
Multi-Agent Engineering Copilot for CAD Model Review
June 23, 2026 – Present
Developed a multi-agent AI workflow using n8n, Qwen, and Llama models to automate CAD model review, engineering recommendations, and approval-based execution workflows. Integrated conversational memory, REST APIs, and specialized AI agents for model analysis, recommendation generation, CAD modification, and mesh optimization.
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and hands-on experience in cutting-edge AI/ML domains, particularly Generative AI, LLMs, and multi-agent systems. This aligns well with an AI Engineer role that often requires innovation and continuous learning. The diversity of projects (chatbot, OCR, TTS, CAD review copilot) indicates a broad curiosity and ability to apply AI to different problem spaces. The current internship also aligns directly with the target role, suggesting a focused career path. However, the candidate is still pursuing their bachelor's degree, which might imply less industry experience compared to a typical senior-level candidate, potentially impacting cultural fit in a highly experienced team.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Communication, Teamwork, Problem Solving, Adaptability, Analytical Thinking, and Attention to Detail. These are crucial for operational fit in a senior role, especially in collaborative AI development environments. The project descriptions suggest an ability to work on diverse tasks and integrate various technologies, indicating adaptability and problem-solving capabilities. However, without specific behavioral assessment data, the depth of these soft skills cannot be fully validated.