Artificial Intelligence Intern at QuinSphere
On-site


Panipat, Haryana, India







Bachelor of Technology - BTech, Computer Science (AI&ML)
Panipat Institute of Engineering and Technology

Bachelor of Technology - BTech, CSE (AI&ML)
Kurukshetra university
Join Keshav and 10k+ other professionals on
Tal is the app where bosses meet engineers & builders directly, without middlemen
Download Tal BossArtificial Intelligence Intern at QuinSphere
I’m a B.Tech Computer Science and Engineering graduate specializing in Artificial Intelligence and Machine Learning, with a strong interest in building practical AI/ML and Python-based applications. I enjoy working with Python, Machine Learning, Computer Vision, and backend development. I have hands-on experience with technologies including TensorFlow, Keras, OpenCV, Scikit-learn, Pandas, NumPy, Django, Django REST Framework, FastAPI, and SQL. During my internships, I worked on AI/ML applications, data analysis, Python-based solutions, and IBM technologies. I’ve also built projects involving computer vision, machine learning, REST APIs, authentication, and database-driven backend systems. One of my key projects is an AI Plant Growth Assistant that uses computer vision and deep learning to identify plants, detect plant diseases, and assist with plant growth monitoring. I have also developed a Django REST-based Employee Management System with JWT authentication and backend APIs. I’m currently looking for opportunities as an AI/ML Engineer, Python Developer, Backend Developer, or Software Developer where I can contribute to real-world projects, strengthen my engineering skills, and continue learning. Tech Stack: Python | Machine Learning | Deep Learning | Computer Vision | TensorFlow | Keras | OpenCV | Scikit-learn | Django | Django REST Framework | FastAPI | REST APIs | SQL | Git
India
antigravity
claude
codex
cursor
deepseek
gemini
Artificial Intelligence Intern at QuinSphere, Jan 2026 - Aug 2026 · 8 mos, On-site, Developed a Retrieval-Augmented Generation (RAG) chatbot using Python to provide context-aware responses based on domain-specific knowledge. Built the RAG workflow for processing user queries, retrieving relevant context, and generating grounded responses. Integrated Amazon Titan Embeddings to convert documents and queries into vector representations for semantic similarity and retrieval. Integrated Amazon Nova models to generate natural-language responses using the retrieved context. Worked on document processing, text chunking, embedding generation, context retrieval, and prompt-based response generation. Tested and refined the RAG pipeline to improve the relevance and quality of chatbot responses.
Artificial Intelligence Intern at Edunet Foundation-IBM Skillsbuild, Jul 2025 - Aug 2025 · 2 mos, Worked on AI and Machine Learning projects using Python as part of an IBM SkillsBuild-focused internship. Developed and explored AI-driven solutions using IBM Cloud, IBM Watson, and IBM Granite generative AI technologies. Worked on a crop recommendation project involving data preprocessing and machine learning concepts to generate recommendations from agricultural data. Worked on data refinery and preparation tasks to transform and organize data for AI/ML applications. Applied Python and machine learning concepts to practical project-based problems in an Agile learning environment.
Data Science Intern at Grades Global Immigration Services Limited, Jul 2024 - Aug 2024 · 2 mos, Performed data analysis and preprocessing using Python, Pandas, and NumPy to clean, transform, and analyze datasets. Applied statistical techniques to identify patterns, trends, and insights from business data. Built data visualizations and interactive dashboards in Power BI to present key metrics and support data-driven decision-making. Worked with structured datasets to improve data quality and prepare information for analysis and reporting. Translated analytical findings into clear business insights through visual reports and dashboards.
Machine Learning Intern at Imarticus Learning, Jul 2023 - Aug 2023 · 2 mos, Panipat, Haryana, India, Built and optimized machine learning models for predictive analytics, focusing on the end-to-end development process. Utilized NumPy and Pandas for efficient data handling and preprocessing tasks.
Bachelor of Technology - BTech, Computer Science (AI&ML), Panipat Institute of Engineering and Technology
Bachelor of Technology - BTech, CSE (AI&ML), Kurukshetra university
github: https://github.com/keshav07123