
AI Engineer with less than a year in building AI-driven applications and RAG-based chatbots.
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Results-driven Computer Science student with hands-on experience building AI-driven applications, RAG-based chatbots, and interactive automation tools. Skilled in Python, backend development, and LLM integration with a proven ability to design scalable systems and optimize retrieval performance.
Ajay Kumar Garg Engineering College (AKGEC)
B. Tech · Computer Science specialized in Data Science
August 1, 2022 – June 30, 2026
KDB Public School (CBSE)
Intermediate (12th)
June 1, 2022 – May 31, 2022
ST. Mary's Convent School (ICSE)
High School (10th)
June 1, 2020 – May 31, 2020
Algoworks Technologies Pvt. Ltd.
AI Intern
June 1, 2025 – September 1, 2025
Ghāziābād, Uttar Pradesh, India
YouTube Transcript Summarizer
June 1, 2026 – Present
Developed a web application using Streamlit that automates the extraction and summarization of YouTube video transcripts. Engineered a robust backend using the YouTube Transcript API to programmatically retrieve and clean transcript data from video URLs. Leveraged Prompt Engineering to ensure summaries maintain the original tone.
AI-Powered Technical Interviewer
June 1, 2026 – Present
Architected an automated platform for technical interviews, generating dynamic questions based on candidate-specific skill sets. Utilized Groq API for real-time question generation, ensuring low-latency inference. Developed persistent data storage solutions to track and analyze performance metrics.
Virtual Assistant for Visually Impaired
June 1, 2026 – Present
Built an AI virtual assistant for visually impaired users using Python with real-time perception and voice interaction. Used YOLOv8 + OpenCV for live object detection and scene understanding. Integrated SpeechRecognition for voice commands and pyttsx3 for audio feedback. Used YOLO model pretrained on the COCO dataset.
Java Programming Certification
Infosys Springboard
June 1, 2026 – Present
Web Development Internship
Bharat Intern
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a strong interest in AI and machine learning, aligning well with an AI Engineer role. The personal projects demonstrate self-motivation and a passion for applying AI to solve real-world problems. The academic background in Computer Science specialized in Data Science further reinforces this fit. The breadth of tools and technologies used across projects suggests adaptability and a continuous learning mindset.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving mindset, with a focus on building functional applications. The internship experience suggests an ability to work within a structured environment and contribute to practical AI solutions. The variety of projects demonstrates initiative and a willingness to explore different AI domains.