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AI Engineer with less than a year in Machine Learning, Computer Vision, and Full-Stack AI Deployment
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AI & Data Science Engineer (2026) with hands-on experience in machine learning, computer vision, and full-stack AI deployment. Built 10+ projects including AI-driven medical diagnostics and smart agriculture systems. Proficient in Python, TensorFlow, OpenCV, and Streamlit, seeking an entry-level role to deliver real-world AI solutions.
Datta Meghe College of Engineering, Airoli
B.E. · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
PACE Junior Science College, Nerul
HSC
June 1, 2021 – May 31, 2022
ST. Lawrence High School, Vashi
SSC
June 1, 2019 – May 31, 2020
Mira Advance Engineering
Python Dev Intern
March 1, 2024 – September 1, 2024
India
FarmFusion - AI-Powered Smart Agriculture Platform
June 1, 2025 – May 1, 2026
Developed an intelligent market recommendation system that suggests nearby mandis based on factors such as location, pricing, and demand. Implemented profit-based decision logic to help farmers maximize revenue using real-time data.
View ProjectMaths with Gestures using AI
June 1, 2024 – April 1, 2025
"Maths with Gestures using AI" is a project that enables users to solve math problems through hand gestures interpreted by AI. It involves hand detection, gesture-based drawing, AI-based model processing, and app development using MediaPipe, CVZone, Google Gemini, and Streamlit. The goal is to create an engaging, interactive, and accessible platform for math learning.
View ProjectBrain Tumor Detection Using Neural Networks
June 1, 2023 – May 1, 2024
The "Brain Tumor Detection using Neural Networks" project represents a pioneering effort in the field of medical diagnostics. This project seeks to address a critical issue in healthcare by offering a reliable, non-invasive, and cost-effective solution for early brain tumor detection.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI to diverse fields like medical diagnostics, education, and agriculture, indicating a broad perspective and willingness to tackle varied challenges. This aligns well with an innovative and problem-solving culture. The mention of leading a team during an internship also suggests a proactive and collaborative mindset. However, without more details on extracurriculars or specific team contributions, a deeper assessment of cultural fit is limited.
Soft Skills & Operational Fit
The candidate's resume indicates experience in leading a team during an internship, suggesting potential for teamwork and project management. The project descriptions are clear, but lack depth in explaining personal contributions and challenges faced, which could impact operational fit in complex scenarios. The academic nature of projects means real-world operational constraints and business impact might be less emphasized.