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Generative AI Engineer with less than a year in Machine Learning & LLMs
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Assessing your cultural and operational fit
Aspiring AI and Generative AI Engineer with practical experience in Machine Learning, Deep Learning, Large Language Models (LLMs), AI Agents, and Retrieval Augmented Generation (RAG) systems. Developed AI powered healthcare solutions including a Multi-Agent Blood Report Analyzer using CrewAI, an ICD Code Matcher, and a Convolutional Neural Network (CNN) based Eye Cancer Detection System. Skilled in building agentic workflows, integrating LLM APIs, and developing intelligent AI applications using Python, OpenAI, Gemini, and modern AI frameworks.
Anna University
B.Tech · Information Technology
August 1, 2022 – June 30, 2026
BESANT TECHNOLOGIES
Generative AI Intern
March 1, 2026 – Present
India
ONCOSHOT
AI Intern
January 1, 2026 – March 1, 2026
India
MULTI-AGENT BLOOD REPORT ANALYZER USING CREWAI
June 27, 2026 – Present
Developed a Multi-Agent Blood Report Analyzer using CrewAI, Generative AI, Large Language Models (LLMs), AI Agents, and Prompt Engineering to automate blood report analysis and generate healthcare insights. Implemented Retrieval Augmented Generation (RAG), LlamaParse, Groq, and YAML based workflows for document processing, medical research, and context-aware report generation.
ICD CODE MATCHER
June 27, 2026 – Present
Developed an AI-powered ICD Code Matcher using Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and Semantic Search for intelligent medical code mapping. Implemented Retrieval Augmented Generation (RAG), Embeddings, Information Retrieval, and Hugging Face models to improve diagnosis-to-code matching and healthcare data processing.
EYE CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORK
June 27, 2026 – Present
Developed a Convolutional Neural Network (CNN) based Eye Cancer Detection System using Deep Learning, Computer Vision, and Medical Image Analysis techniques. Applied image preprocessing, data augmentation, feature extraction, TensorFlow, Keras, and OpenCV to classify multiple eye cancer types from medical images.
Cultural Fit Analysis
The candidate's projects are diverse within the AI/ML domain, focusing heavily on Generative AI and its application in healthcare. This specialization aligns well with a Generative AI Engineer role, indicating a strong interest and potential fit for a team focused on similar technologies. The participation in hackathons and seminars suggests a proactive attitude towards learning and community engagement. However, the limited professional experience (internships) means there's less data to assess long-term cultural adaptability or experience in diverse team settings.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience indicate a proactive and hands-on approach to learning and applying advanced AI concepts. The focus on healthcare applications suggests an interest in impactful, real-world problem-solving. However, without specific psychometric or English test results, it's difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration beyond what's inferred from the resume's structure and content.