Open to opportunities

Pragati Jain

@pragatijain

Computer engineering student and AI researcher building practical ML and vision systems with production-oriented pipelines.

India

Message

What I'm looking for

I seek an AI/ML role where I can translate research into production systems, work on computer vision or RAG-enabled NLP, and grow in a collaborative, impact-driven team.

I am a Bachelor of Technology in Computer Engineering student at Aligarh Muslim University with strong focus on machine learning, computer vision, and applied AI. I combine research experience with internship and project work to deliver reproducible, production-aware solutions.

My research contributions include a NeurIPS MusIML workshop paper on a neuro-symbolic framework for detecting human-centric rule violations from images, introducing the HRS benchmark and improving mIoU by 19.4% over strong baselines.

I have interned on applied AI problems including animal 3D reconstruction, satellite-based landslide detection, and building RAG workflows for converting transcripts into structured artifacts, while contributing backend APIs using Django and PostgreSQL.

I lead and contribute to multidisciplinary projects — from an AI-driven news verification platform to real-time vision-based orientation and hand-tracking — and I seek roles where I can advance research ideas into robust systems with measurable impact.

Experience

Work history, roles, and key accomplishments

Current

Research Intern

Current

IIT BHU

Dec 2025 - Present (1 month)

Researching single-view animal 3D reconstruction and improving mesh-fitting stability using SMAL+SDFit, diffusion+ControlNet conditioning, and ViT-based pose estimation; also developed satellite-based landslide detection pipelines with YOLO, UNet and transformer segmentation.

U Net 3D Reconstruction SMAL ControlNet YOLO UNet Diffusion Models Python Computer Vision

Current

AI Intern

Current

Savgen

Nov 2025 - Present (2 months)

Built RAG workflows to convert transcripts/BRDs into user stories, MOMs and project structures; implemented trending-news content generator and contributed to healthcare app backend APIs using Django and PostgreSQL.

RAG Django PostgreSQL NLP Embeddings Python Backend Development

Current

Computer Team Member

Current

MTS AUV, ZHCET

Aug 2024 - Present (1 year 5 months)

Worked on PnP-based camera localization, feature tracking and computer vision integration for autonomous underwater vehicle systems to improve localization robustness and perception.

PnP Localization Feature Tracking OpenCV Computer Vision Python Embedded Systems