A highly motivated AI/ML Engineer and Full-Stack Developer with a strong foundation in Python, Machine Learning, Deep Learning, and NLP. Proven ability to design, develop, and deploy intelligent solutions, from building robust RAG systems and real-time computer vision applications to creating responsive web platforms. Eager to leverage expertise in AI agent development and full-stack web technologies to drive innovation and deliver impactful solutions in dynamic environments.
Web Development Intern
Remote, N/A, Global
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Summary
Spearheaded the development of a responsive professor portfolio website, integrating core web technologies to enhance online presence and accessibility.
Highlights
Developed a dynamic professor portfolio website from conception to deployment using HTML, CSS, and JavaScript, enhancing faculty's digital presence.
Engineered a responsive design framework, ensuring seamless accessibility and optimal user experience across diverse devices and screen sizes.
Collaborated cross-functionally with faculty stakeholders to gather content, personalize layouts, and integrate feedback, resulting in a tailored and engaging online platform.
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Bachelor of Science
Computer Science
Courses
Machine Learning
Deep Learning
Natural Language Processing
Computer Vision
Data Structures & Algorithms
Web Development
Database Management
Awarded By
Ram Lal Anand College
Awarded for developing an innovative web application for waste classification, which enabled users to upload images for automatic categorization, data storage in PostgreSQL, and provision of decomposition guidance, addressing a critical environmental challenge.
Awarded By
Ram Lal Anand College Selection Committee
Recognized as the sole candidate selected from the entire class for a highly competitive Web Development internship, affirming exceptional technical proficiency and advanced problem-solving capabilities.
Python, SQL, HTML, CSS, JavaScript.
Scikit-learn, PyTorch, LangChain, Hugging Face, Streamlit, YOLOv8, SORT.
OpenCV, NLTK.
Pandas, NumPy, Matplotlib, FAISS, Astra DB, PostgreSQL.
Retrieval-Augmented Generation (RAG), Vector Embeddings, Large Language Models (LLMs), Data Preprocessing, Model Training, Model Evaluation, AI Agents, Deep Learning, Natural Language Processing, Computer Vision.
Front-end Development, Responsive Design, Full-Stack Development.
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Summary
Designed and implemented an e-commerce product recommendation chatbot leveraging a Retrieval-Augmented Generation (RAG) system to provide personalized suggestions based on Flipkart customer reviews.
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Summary
Engineered an AI-powered web research assistant capable of extracting targeted information from multiple web links, significantly improving data retrieval efficiency.
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Summary
Developed a real-time vehicle counting system utilizing advanced computer vision techniques for traffic monitoring and analysis.