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Generative AI Engineer with less than a year in Python & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer Science Engineering student with strong knowledge of Python, Java, SQL, Data Structures, and Software Development Life Cycle (SDLC). Experienced in building AI-based applications and backend systems using FastAPI and ML models. Seeking software development/internship opportunities to apply technical skills and grow in a professional environment.
Amrita Vishwa Vidyapeetham
B.Tech Computer Science and Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Tirumala Junior college
Class XII
June 1, 2020 – May 31, 2022
Bhashyam High School
Class X
June 1, 2019 – May 31, 2020
AI Document Analysis & Chat Bot using RAG Pipelines (Full Stack)
January 1, 2026 – June 1, 2026
Built an end-to-end GenAI-powered document analysis portal with features like document ingestion, semantic search, comparison, and conversational Q&A. Built and debugged FastAPI REST APIs with typed Pydantic schemas to ensure reliable third-party integrations — experience directly applicable to supporting enterprise SaaS workflows.
Brain Tumor Detection, Classification & Segmentation using YOLO (v8/v10/v11) and Swin-U-Net
January 1, 2026 – June 1, 2026
Built an end-to-end MRI analysis pipeline to detect, classify, and segment brain tumors by combining YOLO (v8/v10/v11) for localization/classification and Swin Transformer + U-Net for precise segmentation. Performed medical image preprocessing, augmentation, and annotation (bounding boxes + masks) to support both detection and segmentation tasks. Compared multiple YOLO versions using mAP, precision, recall, and inference speed, and achieved Dice Score of 0.85 for tumor segmentation with the Swin-U-Net model.
Netflix and TV Shows Recommendation System using Random Forest and BERT
October 1, 2024 – December 1, 2024
Developed a hybrid recommendation system using BERT embeddings + Random Forest for enhanced personalization. Achieved 88% performance using genre classification and user preference analysis.
Hacker Rank
SQL
June 1, 2026 – Present
Intro to Python
Infosys Spring Board
June 1, 2026 – Present
Oracle Cloud Infrastructure 2025 Generative AI Professional
Oracle
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in cutting-edge AI applications, including Generative AI, computer vision, and recommendation systems. This aligns well with a Generative AI Engineer role. The diversity of projects (medical imaging, recommendation systems, document analysis) shows a broad technical curiosity and ability to apply AI in different domains. The self-reported soft skills also suggest a collaborative and responsible approach, which is positive for cultural fit.
Soft Skills & Operational Fit
The candidate highlights adaptability, customer communication, teamwork, leadership, and ethics & responsibility. These are valuable for a senior role, indicating a potential for effective collaboration and problem-solving. However, as these are self-reported, further validation during interviews would be necessary.