Fullstack Engineer with 1+ years in AI/ML & Web Development
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Assessing your cultural and operational fit
Highly motivated Fullstack Engineer with 1.5 years of experience in AI/Machine Learning and web development. Proficient in Python, JavaScript, and TypeScript, with a strong command over frameworks like React.js, Next.js, Node.js, and Express.js. Skilled in building responsive user interfaces, implementing machine learning models for predictive analytics, and developing end-to-end web applications. A collaborative team player with strong problem-solving and project management skills.
Drs. Kiran & Pallavi Patel Global University (KPGU)
B.Tech · Computer Science Engineering
August 1, 2022 – June 30, 2026
LH Boghra High School (GSEB)
12th Grade
June 1, 2022 – May 31, 2022
Shree Swaminarayan Academy (CBSE)
10th Grade
June 1, 2020 – May 31, 2020
Radha IT Solutions
Software Development Intern
October 1, 2025 – Present
India
BrainyBeam Info-Tech Pvt. Ltd.
Full Stack & Machine Learning Virtual Intern
May 1, 2025 – August 1, 2025
India
SkillCraft Technology
Data Science Virtual Intern
March 1, 2025 – April 1, 2025
India
TechSaksham (Microsoft, SAP & AICTE Initiative)
AI Virtual Intern
January 1, 2025 – February 1, 2025
India
Automated Dashboard & Report Generation System
June 24, 2026 – Present
Built a full-stack analytics platform that enables users to upload datasets (CSV, Excel, etc.) and automatically generates exploratory data analysis, interactive visualizations, insights, and downloadable reports using Python-based data processing pipelines.
Gesture Controlled Software (Capstone Project)
June 24, 2026 – Present
Developed an AI-based system for hands-free computer interaction using gesture and eye tracking.
PawBuddy (Pet Care & Adoption Platform)
June 24, 2026 – Present
Developed responsive user interfaces for a pet care and adoption platform, implementing reusable components, API integration, and modern UI/UX practices.
InningsPlay (Full-Stack Cricket Scoring App)
June 24, 2026 – Present
Built a cricket scoring platform with live match setup, scorecards, and API-based news.
PixelClean (Media Enhancement & Watermark Removal Platform)
June 24, 2026 – Present
Developed a web-based platform for watermark removal, logo removal, background removal, image enhancement, and PDF processing using AI and image processing techniques.
Machine Learning Prediction Projects
June 24, 2026 – Present
Bank Customer Churn Prediction - Predicted customer churn using classification algorithms and business-driven features. Warranty Claims Fraud Prediction - Detected fraudulent warranty claims using supervised ML and imbalance-handling techniques. Movie Recommender System - Built a recommendation model suggesting movies based on user similarity metrics.
Python for Data Science, DSA with Java, Data Analysis, Business Intelligence & Analysis
NPTEL
June 1, 2026 – Present
Python (Basic), Problem Solving (Intermediate)
HackerRank
June 1, 2026 – Present
Completed multiple certifications for AI Domain
Infosys Springboard
June 1, 2026 – Present
Data Analytics Simulation
Deloitte
May 1, 2025 – Present
Data Visualization Program
TATA Forage
May 1, 2025 – Present
Intro to Computer Vision
Vodafone (_VOIS)
January 1, 2025 – Present
Career Essentials in Data Analysis
LinkedIn & Microsoft
December 1, 2024 – Present
Advanced Emerging Technologies Training
Code Unnati (SAP & Edunet Foundation)
August 1, 2024 – April 1, 2025
Cultural Fit Analysis
The candidate shows a strong inclination towards continuous learning and exploration, evidenced by numerous certifications and diverse personal projects spanning web development, AI/ML, and data analytics. This breadth of interest and proactive learning aligns well with a dynamic, innovation-driven culture. The variety of projects also suggests an ability to adapt to different problem domains and technologies.
Soft Skills & Operational Fit
The candidate's resume highlights 'Team Leadership, Public Speaking, Project Management' as soft skills. The project descriptions indicate an ability to work on diverse projects, suggesting adaptability. However, without specific examples or interview data, the depth of these soft skills and their operational fit cannot be fully assessed.