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AI Engineer with less than a year in machine learning & data analytics.
Highly motivated Bachelor of Technology student specializing in Mathematics and Computing with a strong academic record (CGPA 8.55/10). Possessing hands-on experience in machine learning, data processing, and full-stack development, I have successfully completed projects such as an Air Quality Index Prediction System and an AI Expense Intelligence Platform. My internship experience at Yapassio Pvt. Ltd. and Infosys Springboard has further honed my skills in data analysis, model development, and process automation, preparing me for challenging roles in AI and software engineering.
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
N/A – May 31, 2022
The Jain World School
10th Grade
N/A – 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 – June 1, 2026
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 ProjectGATE Qualified (Computer Science & Engineering)
Unknown
January 1, 2026 – Present
HPCL Sponsorship Awardee – IEW 2026 (ATI Goa) as a Technical Executive
Unknown
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest and foundational experience in AI/ML, aligning well with an AI Engineer role. The diversity of projects, from environmental prediction to expense intelligence, shows adaptability and a broad application of AI skills. Participation in a virtual AI internship and a research and development internship indicates a proactive learning attitude and a desire to apply theoretical knowledge to practical problems. The HPCL Sponsorship Awardee and GATE qualification suggest a drive for excellence and a solid technical foundation. Involvement in volunteer work (Gyanarpan) and hostel management indicates a well-rounded individual with leadership and community engagement qualities.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving skills. Their internship at Yapassio Pvt. Ltd. involved optimizing assessment modules and automating workflows, which points to an operational mindset focused on efficiency and reliability. Collaboration with cross-functional teams is also mentioned, indicating teamwork capabilities. The role as Management Secretary further highlights organizational and coordination skills.