AI Engineer with less than a year in Machine Learning and Data Analytics
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Assessing your cultural and operational fit
Highly motivated and results-driven student pursuing a B.Tech in Mathematics and Computing with a strong academic record (CGPA: 8.55/10). Possesses a solid foundation in machine learning, artificial intelligence, and data analytics. Eager to leverage practical experience gained from internships and projects in building end-to-end ML pipelines, developing AI-powered platforms, and optimizing data workflows.
Rajiv Gandhi Institute of Petroleum Technology
B.Tech · Mathematics and Computing
August 1, 2023 – June 30, 2027
Jai Narayan Vidya Mandir Inter College
12th Grade
June 1, 2021 – May 31, 2022
The Jain World School
10th Grade
June 1, 2019 – May 31, 2020
Infosys Springboard
Virtual Internship in Artificial Intelligence
October 1, 2025 – December 1, 2025
India
Yapassio Pvt. Ltd. – EdTech startup
Research and Development Intern
May 1, 2024 – September 1, 2024
India
AI Expense Intelligence Platform
February 1, 2026 – Present
Developed a full-stack expense management platform using Django with authentication, user-specific dashboards, and expense tracking. Developed a full-stack AI-powered expense management platform using Django, DRF, SQLite, OCR (OpenCV, Tesseract), and machine learning (TF-IDF, Logistic Regression) for automated receipt processing and expense categorization. Enabled users to track expenses, scan bills, and automatically classify transactions through an intelligent dashboard with real-time expense insights and transaction history.
View ProjectAir Quality Index Prediction System
November 1, 2025 – December 1, 2025
Built an end-to-end machine learning pipeline to predict air quality levels using pollutant data and ensemble models. Developed an end-to-end machine learning pipeline for Air Quality Index (AQI) prediction using Random Forest and XGBoost models on 28k+ environmental records, achieving 88.87% classification accuracy. Provided accurate air quality forecasting and pollutant-level analysis through advanced preprocessing, feature engineering, and class imbalance handling techniques.
View ProjectHPCL Sponsorship Awardee – IEW 2026 (ATI Goa) as a Technical Executive
HPCL
January 1, 2026 – Present
GATE Qualified (Computer Science & Engineering)
Unknown
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in diverse projects (environmental prediction, expense management, EdTech assessment optimization) and extracurricular activities (volunteer work, hostel management) suggests a broad range of interests and adaptability. The academic background in Mathematics and Computing, coupled with practical AI/ML projects, aligns well with an AI Engineer role. The GATE qualification and HPCL sponsorship indicate a drive for continuous learning and excellence. The candidate is currently pursuing a B.Tech degree, which means they are still in the early stages of their career, but their project and internship experience shows proactive engagement.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving skills. The R&D internship at Yapassio Pvt. Ltd. involved optimizing assessment modules and automating workflows, which points to an operational mindset focused on efficiency. Collaboration with cross-functional teams is also mentioned, indicating teamwork capabilities. The volunteer and management secretary roles suggest leadership and organizational skills.