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AI Engineer with 1+ years in Data Science & 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
Data Science and Machine Learning professional skilled in Python, TensorFlow, and PyTorch. Hands-on experience in ML models, web applications, data analysis, and scraping pipelines. Strong foundation on predictive modeling, and real-time systems.
IIIT Vadodara
Bachelor of Technology · Computer Science
August 1, 2022 – June 30, 2026
Whizz Aerospace Pvt. Ltd.
AI/ML Engineer Intern
May 1, 2026 – Present
India
NIT Patna
Intern
May 1, 2025 – July 1, 2025
Patna, Bihar, India
IIIT Vadodara - ICD Diu
Metaverse Developer
January 1, 2025 – April 1, 2025
Diu, Daman and Diu, India
Vidyageomatics
Web Developer (Freelancer)
September 1, 2024 – December 1, 2024
India
Detection of Human vs AI-Generated Text (TF-IDF, Random Forest, BiLSTM)
June 4, 2026 – Present
• Built a text classification pipeline to distinguish AI-generated content from human-written text, achieving 97% accuracy. • Trained a Random ForestClassifier model as a baseline for binary classification tasks. • Developed a BiLSTM-based deep learning model using ReLU and Sigmoid activations, optimized with Adam and Binary Crossentropy. • Evaluated and compared performance across machine learning and deep learning models to assess generalization and accuracy.
Disease Prediction Web Application
June 4, 2026 – Present
• Built a deep learning-based system (Keras with Dense + Dropout layers) to predict diseases from symptoms using a Kaggle dataset. • Integrated the trained model into a Flask app for real-time user predictions, with modular training (train model.py) and deployment (app.py). • Evaluated model performance using accuracy, precision, and recall metrics; optimized hyperparameters to achieve higher prediction reliability.
Medical Chatbot (Generative AI)
June 4, 2026 – Present
• Built an end-to-end Medical Chatbot using Generative AI to answer medical queries with intelligent real-time responses. • Integrated Large Language Models (LLMs) with LangChain for prompt orchestration and conversation flow management. • Used Pinecone for vector-based semantic search to retrieve relevant medical information efficiently. • Deployed the chatbot using Flask, enabling a complete working web-based healthcare assistant.
Cultural Fit Analysis
The candidate's project diversity, ranging from medical applications to text classification and generative AI, indicates a broad interest and adaptability, which can be beneficial for a dynamic team. The experience in both academic research (NIT Patna) and industry internships (Whizz Aerospace) suggests an ability to thrive in different work environments. The freelance web development experience also shows a practical, results-oriented mindset. The target role of AI Engineer aligns well with the candidate's demonstrated skills and project focus.
Soft Skills & Operational Fit
The candidate demonstrates initiative and a proactive learning attitude through self-directed projects and internships. The project descriptions indicate an ability to work independently and deliver functional applications. The variety of projects suggests adaptability and a willingness to explore different domains within AI/ML. However, without direct interview data, assessing collaboration, stress handling, and communication clarity in a team setting is limited.