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AI Engineer with less than a year in Python, ML, and Computer Vision.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and motivated aspiring Data Analyst with a strong foundation in Python, machine learning, and data analysis. Hands-on experience building real-time intelligent systems using computer vision and deep learning. Proficient in supervised and unsupervised ML techniques, data preprocessing, EDA, feature engineering, and model evaluation. Familiar with Generative AI concepts including LLMs, prompt engineering, embeddings, and RAG pipelines.
Indira College of Engineering and Management, Pune
Bachelor of Engineering · Computer Engineering
August 1, 2022 – June 30, 2026
Hutatma Rajguru Mahavidyalay, Rajgurunagar
HSC (12th) · Science
June 1, 2021 – May 31, 2022
Shree Bhamchandra Madhyamik Vidyalaya, Bhmaboli
SSC (10th)
June 1, 2019 – May 31, 2020
Online Shopping System
June 23, 2026 – Present
Built a complete e-commerce web application with product listing, shopping cart, and order management from scratch. Designed a database architecture using SQL; implemented full CRUD operations and integrated frontend-backend layers for seamless data flow. Delivered a responsive, user-friendly UI with clean HTML/CSS/JS implementation across all core customer-facing pages.
EcoSortal - AI-Based Waste Segregation System
June 23, 2026 – Present
Developed real-time object detection system for waste classification using YOLOv8. Integrated AI model with Raspberry Pi for automated waste segregation. Built end-to-end pipeline from image capture to prediction and physical sorting. Improved efficiency by reducing manual intervention through automation.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in both AI/ML and full-stack development, showing versatility. The EcoSortal project, an AI-based waste segregation system, indicates an interest in applying technology to real-world problems, which could align with an innovative culture. However, the lack of professional experience and limited project diversity (only two academic projects) makes a comprehensive cultural fit assessment challenging. The target role is AI Engineer, and the EcoSortal project aligns well, but the Online Shopping System project is less directly relevant.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end systems and integrate different components. The academic nature of projects suggests a learning-oriented individual. However, without professional experience or psychometric test results, it's difficult to assess operational fit, stress handling, or team collaboration skills.