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AI/ML Developer with less than a year in Machine Learning & Generative AI
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Computer Science Engineering graduate specializing in Artificial Intelligence & Data Science, with hands-on experience across machine learning, generative AI, and full-stack data analytics. Proven track record of building and deploying end-to-end ML systems—from computer vision pipelines to LLM-powered applications—through internships and academic projects. Strong foundation in Python, predictive modeling, and prompt engineering, paired with the ability to translate complex technical concepts into practical, business-ready solutions. Currently seeking full-time opportunities in AI/ML, Data Science, and Generative AI roles where I can contribute to impactful, real-world products.
Panipat Institute of Engineering and Technology (Kurukshetra University)
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – May 1, 2026
Aimple AI Private Limited
AI/ML Intern
January 1, 2026 – June 1, 2026
India
AppSquadz
Data Science & Software Development Intern
July 1, 2024 – September 1, 2024
India
AI-Powered Chat with SQL Database using LangChain
June 24, 2026 – Present
Developed an intelligent chatbot that interacts directly with a SQLite database using LangChain and LLMs, converting natural language queries into accurate SQL queries in real time. Integrated the LangChain SQL Toolkit and Agent Type for database querying, and built a user-friendly Streamlit web interface so non-technical users can query structured data conversationally.
Face and Eye Detection
June 24, 2026 – Present
real-time detection using Haar cascades in OpenCV.
Credit Card Fraud Detection
June 24, 2026 – Present
classification model on imbalanced data using SMOTE resampling.
Weed Detection Using Image Processing
June 24, 2026 – Present
Built an end-to-end computer vision system to detect and classify weeds in crop images using OpenCV and machine learning, supporting precision farming and reducing manual crop monitoring effort. Applied advanced image preprocessing techniques (noise reduction, segmentation, contour detection) and trained classification models to accurately differentiate weeds from crops under varying field conditions.
Breast Cancer Detection Using Machine Learning
June 24, 2026 – Present
Developed a supervised learning model to predict breast cancer malignancy from medical diagnostic datasets, achieving high classification accuracy through systematic preprocessing, feature selection, and rigorous evaluation using cross-validation.
Crop Yield Prediction
June 24, 2026 – Present
regression model using environmental and soil features.
Generative AI and ChatGPT
GeeksforGeeks
January 1, 2026 – Present
Data Analysis Job Simulation
Deloitte
July 1, 2025 – Present
Machine Learning using Python
Infosys
February 1, 2025 – Present
Crash Course on Python
January 1, 2024 – Present
Tableau Visualization
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects cover a diverse range of AI/ML applications, from natural language processing to computer vision and predictive modeling, indicating a broad interest in the field. The internships at Aimple AI and AppSquadz align well with the target role of an AI/ML Developer, showing practical application of skills in a professional setting. The certifications further demonstrate a proactive approach to learning and skill development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills through various project implementations and mentions teamwork as a soft skill. The project descriptions are clear, indicating good communication of technical concepts. The internship experience shows an ability to work in an agile environment and contribute to software development, suggesting a good operational fit for a development role.