AI Engineer with less than a year in Artificial Intelligence & Data Science
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Experience in Artificial Intelligence and Data Science as an Evangelist Intern, utilizing Python, Java, HTML, CSS, JavaScript, JQuery, AngularJS, MySQL, Flask, and SSE. Skilled in leveraging OpenCV, CNNs, Power BI, Tableau, Leaflet.js, and OpenStreetMap to design Impactful Solutions. I aim to apply My ProblemSolving abilities to Real World challenges, contributing to organizational growth while continuously advancing my Technical Skills.
DBATU, N. K. Orchid College of Engineering and Technology, Solapur
Bachelor of Technology (B. Tech) · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
S.S.A JuniorCollegeofscience, Solapur (MSBSHSE Board)
Senior Secondary (XII) · Science
N/A – May 31, 2022
S.S.A New English Medium School, Solapur (MSBSHSE Board)
Secondary (X)
N/A – May 31, 2020
IBM
Granite Models For Software Development
February 1, 2026 – March 1, 2026
India
YBI Foundation
Data Science and Machine Learning Intern
December 1, 2025 – March 1, 2026
India
Zensar
Employability Skill Development
March 1, 2025 – April 1, 2025
India
Smart Traffic Density & Signal Optimization System
May 1, 2026 – May 1, 2026
Developed an AI-powered Smart Traffic Density & Signal Optimization System using YOLOv8 and OpenCV for real-time vehicle detection and traffic analysis. Implemented dynamic traffic density classification (Low/Moderate/High) and automated signal optimization based on live vehicle count data. Designed a web-based dashboard to visualize traffic statistics, improve monitoring efficiency, and support smart city transportation management.
Where is My Bus (Real Time Public Transport Tracking for Small Cities)
August 1, 2025 – August 1, 2025
Developed a real-time GPS vehicle tracking system using Flask, Python, and Server-Sent Events (SSE), enabling live map updates and continuous location monitoring on an interactive web dashboard. Integrated Leaflet.js and OpenStreetMap to visualize routes, bus positions, and movement patterns, with support for multiple devices, dynamic markers, and route overlays. Built a complete backend pipeline to receive, store, and process GPS data from mobile trackers and simulation scripts, including REST APIs, CSV-based logging, and event-driven updates.
Granite Models For Software Development
IBM
March 1, 2026 – Present
Microsoft Power BI
Infosys Springboard
November 1, 2025 – Present
Power BI Training
Infosys Springboard
November 1, 2025 – Present
Intellectual Property Rights
Udemy
September 1, 2025 – Present
AI Foundation Associate
Oracle
August 1, 2025 – Present
Skill Development Certificate
NVIDIA
June 1, 2025 – Present
Employability Skill Development Program
Zensar
March 1, 2025 – Present
Data Base Management System NPTEL
NPTEL
January 20, 2025 – Present
Web Development using HTML, CSS and Javascript
InfoStack Software Development
October 1, 2024 – Present
Build Your Own Generative Model
NXTWAVE
September 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying AI to real-world problems (smart cities, public transport), which aligns with an innovative and impact-driven culture. The breadth of certifications and internships, even if short-term, indicates a strong commitment to continuous learning and skill acquisition. The academic nature of projects and limited professional experience suggest a fit for a team that values mentorship and growth, but may require more structured guidance in a senior role.
Soft Skills & Operational Fit
The candidate's internships, particularly the 'Employability Skill Development Program' by Zensar, suggest an awareness of professional and corporate readiness skills, including communication and problem-solving. The project descriptions indicate an ability to work on structured tasks and contribute to feature design. However, without direct interview data, the depth of these soft skills and their operational fit in a senior role cannot be fully assessed.