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AI Engineer with less than a year in Python, React, and Machine Learning.
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Assessing your cultural and operational fit
A proactive and detail-oriented computer engineering student with hands-on experience in AI/ML and full-stack development. Proficient in Python, React, and various machine learning and deep learning frameworks. Eager to contribute to innovative projects in AI/ML, data science, and web development, leveraging strong problem-solving and technical skills.
Vishwakarma Government Engineering College
Bachelor of Engineering · Computer Engineering
N/A – June 30, 2025
7 Span
AI ML Intern
January 1, 2025 – July 1, 2025
Ahmedabad, Gujarat, India
VPN Digital Services
Full Stack Developer Intern
August 1, 2024 – February 1, 2025
India
Heart Disease Prediction (ECG Data)
March 1, 2025 – Present
Trained and optimized different models on ECG datasets using Scikit-learn, achieving 98% accuracy with Random forest through hyperparameter tuning and cross-validation. Deployed the model as a low-latency API via FastAPI with Docker containerization, enabling scalable real-time predictions for healthcare applications.
Misato: AI Companion
March 1, 2024 – Present
Built a real-time analytics dashboard to visualize user-AI interaction patterns (chat sentiment, frequency, topics), improving user experience efficiency by 30% and enabling behavioral analysis. Conducted user behavior research to tailor AI responses to Gen Z needs, integrating findings into model training and dashboard design for personalized engagement.
1930 Helpline Number
January 1, 2024 – Present
Developed an XGBoost-based ML model to automate victim case identification in cyber fraud, achieving 87% accuracy and reducing processing time by 25%. Researched banking protocols for account freezing/defreezing during cyber fraud incidents, analyzing workflows to identify bottlenecks and improve coordination between victims, banks, and law enforcement.
Artificial Intelligence & Data Analytics
IBM Skillsbuild
June 1, 2026 – Present
Python 3.4.3 training
Spoken Tutorial, IIT Bombay
June 1, 2026 – Present
Linux training
Spoken Tutorial, IIT Bombay
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship experiences showcase a breadth of skills across AI/ML, full-stack development, and data visualization. Involvement in hackathons and co-curricular activities indicates a collaborative spirit and a drive for continuous learning, which aligns well with an innovative and growth-oriented culture. The diverse project portfolio, including AI companions and fraud detection, suggests an interest in applying AI to real-world problems.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude, evidenced by upskilling in React Native and attending technical workshops. Project descriptions indicate an ability to work on diverse tasks, from model development and deployment to user behavior research and dashboard creation. The academic background and project diversity suggest a good fit for a dynamic, research-oriented AI engineering role.