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AI Engineer with less than a year in NLP, Computer Vision & Full-stack development.
Pranjal Bhangare is an aspiring AI/ML Engineer pursuing a B.Tech in Computer Engineering. She has hands-on internship experience in AI-powered financial document intelligence and RAG-based FAQ retrieval systems. Her projects showcase expertise in NLP for meeting intelligence, computer vision for waste segregation and medical image analysis, and full-stack development for transport management, demonstrating a strong foundation in machine learning, deep learning, and data science principles.
VIIT, Pune
B.Tech Computer Engineering · Computer Engineering
August 1, 2022 – June 30, 2026
RMD Junior College, Pune
HSC
N/A – May 31, 2022
Mount Carmel Convent High School, Pune
SSC
N/A – May 31, 2020
Mavenark Technologies Pvt. Ltd.
AI Intern
July 1, 2025 – November 1, 2025
India
SHAMBHO.AI
Machine Learning Intern
March 1, 2025 – May 1, 2025
India
AI Meeting Intelligence System
February 1, 2026 – April 1, 2026
Architected an end-to-end meeting intelligence platform using OpenAI Whisper & WhisperX for speech-to-text transcription with speaker diarization across 100+ hours of audio. Implemented a RAG-based semantic query engine with vector embeddings enabling contextual NLP retrieval over transcripts with sub-2s response time. Integrated JWT-based authentication and persistent storage, securing multi-user sessions with role-based access control. Stack: Python, FastAPI, pyannote.audio, Groq/Llama 3.3, ChromaDB, MongoDB, Next.js, TypeScript
AI Waste Segregation System
March 1, 2025 – May 1, 2025
Engineered a waste segregation system using MobileNetV2 with transfer learning on a self-curated dataset of 5,000+ images, achieving 95-98% classification accuracy across dry/wet and recyclable/non-recyclable categories. Applied patch segmentation for recyclable content estimation and deployed a real-time Streamlit inference pipeline with <1s latency, supporting live operational use. Stack: Python, CNNs, MobileNetV2, TensorFlow, Keras, OpenCV
Transport Management System
March 1, 2025 – May 1, 2025
Initiated and built a full-stack TMS for streamlining car booking operations with role-based manager access control, handling 50+ booking records with secure data isolation. Stack: HTML, CSS, JavaScript, PHP, XAMPP
Brain Tumor Detection & Classification
January 1, 2025 – March 1, 2025
Designed a deep learning classifier for brain MRI images across 4 categories (glioma, meningioma, pituitary, no-tumor) using EfficientNet & MobileNet with data augmentation on 3,000+ scans. Achieved 92-95% test accuracy by fine-tuning transfer learning models with targeted augmentation strategies to enhance generalization on unseen data. Stack: Python, TensorFlow, Keras, OpenCV, CNN, EfficientNet, MobileNet, NumPy
IBM Data Analyst
IBM
June 1, 2026 – Present
DeepLearning.AI Specialization
Coursera
June 1, 2026 – Present
DSA in Python
Udemy
June 1, 2026 – Present
AWS Cloud Foundations
AWS
June 1, 2026 – Present
Earth5R AI/ML Internship
Earth5R
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal projects and internships across different AI applications (document intelligence, meeting intelligence, waste segregation, medical imaging), demonstrates a broad interest and adaptability within the AI domain. The involvement in leadership roles and certifications further indicates a commitment to continuous learning and community engagement, aligning well with a dynamic and innovative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a capacity for independent project execution. The leadership roles suggest teamwork and organizational skills. The detailed descriptions of system architecture and performance metrics imply a results-oriented mindset.