Open to opportunities

khushi bansal

@khushibansal

Computer Engineering undergraduate crafting real-time ML, CV, NLP, and Generative AI systems with a research-driven mindset.

India

Message

What I'm looking for

I’m looking for a role where I can build real-time ML/CV/NLP systems—turning research into practical conversational and vision-language experiences—while working with strong engineering practices and meaningful product impact.

I’m a Computer Engineering undergraduate at Thapar Institute of Engineering and Technology with a strong foundation in Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI. I build real-time intelligent systems—especially vision-language interactions and conversational experiences—backed by research exposure through internships and academic projects.

Recently, I developed a real-time human pose estimation system using YOLOv8 and built end-to-end inference pipelines for frame-wise processing and evaluation. I also designed a BERT-based conversational AI system for a food delivery robot with multilingual intent recognition (English, Hindi, Punjabi), improving conversational accuracy, latency, and dialogue flow. I’m energized by turning models into practical, human-friendly behavior in smart and robotic environments.

Experience

Work history, roles, and key accomplishments

Project Intern

Edunet Foundation

Dec 2024 - Jan 2025 (1 month)

Developed a real-time human pose estimation system with YOLOv8 to detect 17+ body keypoints in images and videos. Built an end-to-end frame-wise inference pipeline for annotated output and performed dataset handling and model performance evaluation.

YOLOv8 Pose Estimation Data Annotation Model Evaluation OpenCV Python

Summer Intern

Thapar Institute of Engineering and Technology

Jun 2024 - Jul 2024 (1 month)

Designed a BERT-based conversational AI system for a food delivery robot enabling natural, real-time interactions. Implemented multilingual intent recognition and response generation (English, Hindi, Punjabi) and improved conversational accuracy, latency, and dialogue flow.

BERT Conversational AI NLP Dialogue Systems Python Model Training

Education

Degrees, certifications, and relevant coursework

Thapar Institute of Engineering and Technology

Bachelor of Engineering, Computer Engineering

2022 -

Grade: 8.30/10

Activities and societies: Relevant coursework includes Data Structures and Algorithms, Computer Networks, Operating Systems, DBMS, Machine Learning, Conversational AI, and Artificial Intelligence. Achievements: EY Techathon 5.0 national semi-finalist; top-50 teams in SIH 2024.

Pursuing a B.E. in Computer Engineering (2022–present) with a GPA of 8.30/10, covering core areas such as data structures, machine learning, conversational AI, computer networks, and DBMS.