AI Engineer with less than a year in Machine Learning, NLP & Generative AI
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Assessing your cultural and operational fit
AI and Data Science student with strong hands-on experience in python, machine Learning. Skilled in building end to end ML pipelines and working with Generative AI concepts in Familiar with AI tools like ChatGPT and applying AI for automation, text summarization Passionate about leveraging AI to build scalable and impactful solutions.
Sanjivani University
B.Tech · Artificial Intelligence & Data Science
August 1, 2024 – June 30, 2027
Sanjivani K.B.P Polytechnic
Diploma · Computer Technology
August 1, 2022 – June 30, 2024
Ethara ai
LLM Trainee Intern
February 1, 2026 – May 31, 2026
India
TechnoHack
Data Scientist & Machine Learning Intern
January 1, 2025 – February 28, 2025
India
Medical Report Simplifier
June 1, 2026 – Present
Built an end-to-end NLP pipeline to convert complex medical reports into simplified, patient-friendly summaries. Applied text preprocessing, keyword extraction, and multilingual translation to improve accessibility.
Brain Tumor Detection & Classification
June 1, 2026 – Present
Developed a CNN-based deep learning model to classify MRI brain images into four tumor categories. Used image preprocessing, data augmentation, and hyperparameter tuning to improve accuracy.
Cattle & Buffalo Breed Classification
June 1, 2026 – Present
Implemented a transfer learning-based CNN model for automated breed identification from images. Fine-tuned pre-trained models and evaluated performance using accuracy and confusion matrix.
IoT-Based Smart Dustbin
June 1, 2026 – Present
Designed an IoT solution using sensors for waste level detection and real-time alert generation. Enabled sensor data collection for basic analytics to support efficient waste management.
Predictive Modeling with IBM SPSS Modeler
IBM
June 1, 2026 – Present
Discover Data Analysis
Microsoft
June 1, 2026 – Present
DevOps Fundamentals & Cloud Fundamentals
IBM
June 1, 2026 – Present
Learning Analytics Tools
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI and Data Science, aligning well with an AI Engineer role. The projects demonstrate initiative and a problem-solving mindset. However, the experience is primarily academic and internship-based, with limited exposure to diverse team environments or large-scale production systems, which might impact cultural fit in a fast-paced, senior-level engineering team. The focus on personal projects indicates self-motivation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges and a passion for leveraging AI for impactful solutions. The internship experiences suggest a capacity for collaboration and contributing to AI/ML workflows. However, without direct assessment data on communication, logical reasoning, or teamwork, a comprehensive evaluation of soft skills and operational fit is limited.