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AI Engineer with less than a year in Machine Learning, Data Analytics & Full-Stack Development.
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Computer Engineering graduate with hands-on experience in Artificial Intelligence, Machine Learning, Data Analytics, Prompt Engineering, and Full-Stack Development. Skilled in designing and deploying data-driven applications, intelligent systems, and interactive dashboards using modern technologies. Seeking an opportunity to contribute technical expertise, problem-solving abilities, and innovation to build impactful software solutions while continuously expanding my professional skills.
SAL Institute of Technology and Engineering Research (GTU)
B.E. · Computer Engineering
August 1, 2022 – June 30, 2026
Shree Swaminarayan Public School
12th · CBSE
June 1, 2021 – May 31, 2022
Shree Swaminarayan Public School
10th · CBSE
June 1, 2019 – May 31, 2020
IBM x CSRBOX
Data Analytics Internship
June 1, 2026 – Present
India
Infolabz It Solutions
Data Science
February 1, 2026 – June 1, 2026
India
Arduino Based Obstacle Avoiding Robot
January 1, 2022 – Present
Designed an autonomous robot using ultrasonic sensors. Arduino programmed to detect and avoid obstacles in real time.
Ai-Powered Visual Analytics for Sustainable Agriculture
January 1, 2022 – Present
Developed a comprehensive AI-powered agricultural analytics platform using Machine Learning, OpenCV, and Streamlit. Implemented three predictive models including crop health prediction (Logistic Regression), disease classification (Random Forest), and yield forecasting (Linear Regression), alongside an OpenCV-based image analysis pipeline for plant disease detection. Built interactive dashboards with real-time visualizations, soil health analysis, and recommendation systems to support sustainable farming decisions.
AgriSense AI – Intelligent Crop Disease Detection System
January 1, 2022 – Present
Built a deep learning-based crop disease detection system using transfer learning with MobileNetV2 and the PlantVillage dataset containing over 54,000 agricultural images across 38 disease classes. Developed an interactive Streamlit dashboard for disease prediction, visualization, and farming recommendations, enabling accurate identification of crop diseases and supporting precision agriculture practices.
Online Appointment in Hospital Website
January 1, 2022 – Present
Built a platform for booking medical appointments. Implemented user registration, doctor scheduling, and appointment management.
AI-Based Recipe Generator Website
January 1, 2022 – Present
Developed a recipe generator using AI models. Created a frontend with ReactJS and backend APIs.
Movie Recommendation System (Python, Machine Learning)
January 1, 2022 – Present
Built a content-based movie recommendation system using Python, NLP, and cosine similarity to suggest similar movies based on metadata such as genres, cast, keywords, and overview. Performed data preprocessing, feature engineering, vectorization, and similarity computation using pandas, scikit-learn, and NLTK, and deployed an interactive prototype using Streamlit.
UBER ANALYTICS
January 1, 2022 – Present
Developed an interactive BI dashboard using Streamlit and Plotly to analyze ride bookings, revenue trends, operational KPIs, customer behavior, and transportation performance through advanced visual analytics and automated insights.
AI Startup Idea Analyzer and Builder
January 1, 2022 – Present
Developed an AI-powered startup advisory platform using Streamlit and LLMs to evaluate business ideas, analyze market opportunities, identify risks, assess competitors, and generate actionable startup roadmaps. Implemented automated business analysis, monetization strategies, MVP planning, and go-to-market recommendations through intelligent prompt engineering and AI-driven decision support.
Self-Correcting AI Assistant
January 1, 2022 – Present
Designed a multi-agent AI system that generates responses, performs automated critique, identifies missing information, and produces improved answers through an iterative self-correction workflow. Integrated multiple LLMs to implement answer generation, evaluation, and refinement pipelines, enhancing response quality and reliability.
Deep Learning Conversational Chatbot
January 1, 2022 – Present
Developed an intent-based conversational AI chatbot using TensorFlow and Bidirectional LSTM networks for natural language understanding and response generation. Implemented text preprocessing, tokenization, intent classification, and confidence-based response selection to enable intelligent user interactions from custom chat datasets.
Data Analytics (Summer Internship)
IBM Skills Build
January 1, 2026 – Present
Cloud Computing — Beginner to Advance
University of Illinois (Cursa)
January 1, 2026 – Present
Data Science (4 months Internsip)
Infolabz It Solutions
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from agricultural analytics to conversational AI and recommendation systems, indicates a broad interest in applying AI across different domains. The academic nature of all projects and limited professional experience suggest a strong learning orientation. The target role of 'AI Engineer' aligns well with the candidate's project focus and stated technical skills, particularly in Machine Learning, Deep Learning, and Prompt Engineering. However, the lack of real-world, industry-scale project experience might require a supportive environment for growth.
Soft Skills & Operational Fit
The candidate highlights 'Quick learner', 'Problem-solving attitude', and 'Good teamwork & communication' as strengths. The academic projects demonstrate problem-solving and the ability to work on diverse technical challenges. However, without direct interview data or peer feedback, the operational fit and soft skills are primarily inferred from project descriptions and self-assessment.