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AI Engineer with less than a year in Machine Learning & Data Science using Python and Power BI.
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Highly motivated and results-driven AI/ML Developer with expertise in Python, SQL, and various machine learning frameworks. Proven ability to apply data analysis and predictive modeling techniques to solve business problems and improve decision-making. Possesses hands-on experience in developing and deploying AI-powered systems, including LLM-based code review, smart agriculture advisory, and fashion recommendation platforms. Seeking to leverage strong technical skills and project leadership in a challenging AI/ML role.
Savitribai Phule Pune University (SPPU)
Bachelor of Computer Engineering with Honors in Data Science · Computer Engineering with Honors in Data Science
August 1, 2022 – June 30, 2026
Cyber Success
Data Analyst Intern
March 1, 2026 – June 1, 2026
Pune, Maharashtra, India
Netleap IT Training and Solutions
Machine Learning Intern
January 1, 2025 – February 1, 2025
Nashik, Maharashtra, India
AI Fashion Recommendation System (Deployed)
May 1, 2026 – June 1, 2026
Built a Computer Vision-based recommendation platform that suggests suitable clothing based on uploaded user images. Developed a personalized recommendation workflow for specific fashion brands. Successfully deployed the application online.
Kisan Care – AI-Driven Smart Agriculture Advisory System
January 1, 2026 – February 1, 2026
Developed an AI-powered platform to assist farmers with agricultural recommendations and decision support. Utilized machine learning techniques to provide intelligent advisory services. Focused on improving decision-making through data-driven insights.
LLM-Based Code Review and Bug Prediction System
September 1, 2025 – November 1, 2025
Developed an AI-powered system to analyze source code and predict potential bugs. Leveraged Large Language Models to provide intelligent code review suggestions. Improved code quality through automated recommendations.
Smart Elderly Care Assistance with Fall Detection and GPS Tracking
July 1, 2025 – January 1, 2026
Led the development of a smart elderly care solution focused on fall detection and real-time GPS tracking. Coordinated project planning, development, testing, and implementation activities. Designed to improve safety and emergency response for elderly individuals.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI to real-world problems, including social impact (Kisan Care, Smart Elderly Care). This aligns with a culture that values innovation and practical application. The breadth of project domains (code analysis, agriculture, fashion, healthcare) suggests adaptability and a willingness to explore different challenges. However, the lack of professional experience beyond internships means cultural fit in a corporate setting is largely unproven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to lead (Smart Elderly Care Assistance) and work on diverse teams. The academic nature of projects suggests a learning-oriented mindset. However, the brevity of descriptions limits a deeper assessment of operational fit and collaboration skills.