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AI Engineer with less than a year in Machine Learning & Full-Stack Development.
Artificial Intelligence and Data Science Engineer with solid academic and project-based experience in AI, machine learning, and full-stack web development. Completed an industry-driven internship in full stack web development and built multiple end-to-end projects. Skilled in Python, Flutter, R, Java, Django, Salesforce, and modern AI frameworks like TensorFlow and OpenCV. Focused on building practical, innovative solutions that leverage data-driven insights and intelligent systems
SNJB's Late Sau Kantabai Bhavarlalji Jain College of Engineering Chandwad, Nashik
B.E. · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Late B.P Patil College, Junior College Of Science.
12th Grade · Science
June 1, 2020 – May 31, 2022
plant-disease-detection-poly.vercel.app
ML/Full-Stack Project
March 1, 2026 – June 1, 2026
India
bafanaimportexport.in
Web Developer
February 1, 2026 – June 1, 2026
India
Netleap Training Solutions (NTS)
Data Science Intern (NLP & Machine Learning)
October 1, 2025 – November 1, 2025
India
Netleap Training Solutions (NTS)
Web Full Stack Web Development Intern
January 1, 2025 – February 1, 2025
India
AI-Enabled Smart CNG Station Finder
June 1, 2026 – June 1, 2026
Developed a Flutter-based mobile application that helps users locate nearby CNG stations and view real-time fuel availability and queue information. Integrated OpenStreetMap API for geolocation services and Supabase for cloud-based real-time data management.
Big Data Processing & Analytics Pipeline
June 1, 2026 – June 1, 2026
Developed a scalable data analytics pipeline to process and analyze large datasets using Apache Spark. Implemented ETL workflows for data cleaning, transformation, and aggregation, and generated analytical dashboards to extract business insights from large-scale data.
AI Mock Interview & Performance Evaluation Platform
June 1, 2026 – June 1, 2026
Developed an AI-powered system that simulates technical interviews, evaluates candidate responses, monitors behavior during the interview, and provides performance scores with improvement suggestions. Implemented progress tracking to compare past and current interview performance.
Healthcare Management System
June 1, 2026 – June 1, 2026
Created a scalable health care management app to track doctors, patients, and medical device usage. Developed custom objects, validation rules, workflows, and automation features for seamless data handling.. Integrated user management, appointment scheduling, and follow-up notifications.
AI-Powered GitHub README Generator
June 1, 2026 – June 1, 2026
Built a web application that generates professional, customized GitHub README files using AI. Integrated OpenAI's API to process user inputs (project title, description, features, installation steps) and dynamically generate high-quality markdown content. Designed an interactive frontend with ReactJS and Tailwind CSS for a smooth user experience and easy copy/download functionality.
AI Specialist
CERTIFIED
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-powered platforms to data analytics pipelines and mobile applications, indicates a broad interest and adaptability. The academic and personal projects, particularly those involving AI, align well with an AI Engineer role. The internships in both full-stack development and data science demonstrate a willingness to learn and contribute across different technical domains. The focus on practical, innovative solutions suggests a proactive and results-oriented mindset, which is generally a good cultural fit for dynamic tech environments.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, team collaboration, adaptability, analytical reasoning, project deployment & maintenance as soft skills. These are crucial for an AI Engineer role, especially in a senior capacity where complex problem-solving and collaborative development are common. The project descriptions indicate an ability to work on end-to-end solutions and translate requirements into functional systems, suggesting good operational fit.