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AI Engineer with less than a year in machine learning pipelines and model development.
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Assessing your cultural and operational fit
Motivated BCA final-year student with hands-on experience building machine learning pipelines, training classification models, and integrating AI APIs into real-world applications. Proficient in Python, Scikit-learn, Pandas, NumPy, and Flask for end-to-end ML development. Developed multiple ML-driven projects achieving measurable accuracy improvements and automation gains. Eager to contribute to AI/ML research, model development, and data-driven product teams in an internship role.
Amity University Mumbai
Bachelor of Computer Applications · Computer Applications
August 1, 2023 – June 30, 2026
Ibitidaa Tech
Python Developer Intern
May 1, 2026 – June 1, 2026
India
Internship Automation System
January 1, 2026 – June 1, 2026
Integrated the Anthropic Claude API with advanced prompt engineering to intelligently parse job descriptions and auto-tailor resume content per role — reducing manual application effort by an estimated 80%. Designed an async Python pipeline to scrape 500+ listings, apply AI-driven content generation, and auto-produce role-specific PDF documents — combining NLP, automation, and data extraction techniques.
Disease Prediction System
January 1, 2026 – June 1, 2026
Built an end-to-end ML pipeline - performed data preprocessing, feature engineering, and trained a classification model achieving 90%+ accuracy on held-out test data for disease prediction from patient input. Deployed the trained model via a Flask REST API that accepts JSON payloads, runs inference, and returns structured predictions with confidence scores – demonstrating full ML-to-production workflow.
Green Cause Golf Charity Subscription Platform
January 1, 2026 – June 1, 2026
Built a production-grade full-stack web application with a FastAPI backend and React.js frontend deployed to Railway with a CI/CD pipeline – demonstrating complete end-to-end engineering ownership from development to production.
Data Structures & Algorithms (Sigma 5.0)
Apna College
June 1, 2026 – Present
Machine Learning Fundamentals
Coursera
June 1, 2026 – Present
Python Programming
Internshala
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a diverse interest in applying AI/ML to different domains (healthcare, automation, web development), suggesting adaptability and a willingness to explore various challenges. The academic and personal projects, along with an internship, indicate a strong learning orientation and a desire to gain practical experience. This aligns well with a culture that values continuous learning and hands-on contribution. The focus on automation and efficiency in projects also suggests a results-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a drive to automate tasks, which aligns with an operational fit for roles requiring efficiency and innovation. The academic and personal projects demonstrate initiative and the ability to work independently on complex tasks. However, without specific behavioral assessment data, a deeper analysis of soft skills like teamwork, leadership, and adaptability is limited.