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Ruchi Jayaswal

@ruchijayaswal

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AI Researcher and educator with 7+ years in LLMs, NLP, computer vision, and data analytics.

India

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What I'm looking for

I’m looking for a role where I can build and deploy LLM/NLP/CV systems end-to-end—using RAG, prompt engineering, and strong ML engineering—while contributing to measurable impact and mentoring others through applied, research-driven AI.

I’m an AI Researcher and Computer Science professional with a Ph.D. and 7+ years of experience in Artificial Intelligence, Machine Learning, Deep Learning, NLP, Computer Vision, and Data Analytics. I’ve built end-to-end models and bridged research with practical deployment through prompt engineering, curriculum design, and hands-on training for teams and students.

My work includes 16+ peer-reviewed publications in SCIE/Scopus-indexed venues, spanning Large Language Models, transformer architectures, Generative AI, and multimodal systems. As an Assistant Professor & AI Researcher, I designed and delivered AI/ML/NLP/CV courses for 100+ students per semester, supervised 20+ projects, and published 15+ SCIE/Scopus-indexed papers; during my Ph.D., I developed intelligent surveillance models achieving 97%+ accuracy and reduced false-positive alerts by ~30% with a pose-guided attention framework.

Experience

Work history, roles, and key accomplishments

Assistant Professor & AI Researcher

Symbiosis Institute of Technology

Jul 2022 - Mar 2025 (2 years 8 months)

Designed and delivered AI/ML, Deep Learning, Data Science, NLP, and Computer Vision courses to 100+ undergraduate and postgraduate students per semester. Supervised 20+ student projects and published 15+ SCIE/Scopus-indexed papers during the tenure.

AI Research Machine Learning Deep Learning NLP Computer Vision LLM Applications Transformer Models Prompt Engineering Academic Mentoring

Assistant Professor (AI)

Symbiosis Institute of Technology

Jul 2022 - Mar 2025 (2 years 8 months)

Designed and delivered AI/ML, Deep Learning, Data Science, NLP, and Computer Vision courses to 100+ students per semester, supervising 20+ student projects with average scores of 85%+. Published 15+ SCIE/Scopus-indexed papers and 10+ international conferences, and mentored junior researchers on Python-based ML pipelines, feature engineering, and model optimization.

Machine Learning Deep Learning NLP Computer Vision Large Language Models Prompt Engineering Curriculum Design Python PyTorch

Research Scholar (PhD)

MITS Gwalior

Jan 2018 - Dec 2022 (4 years 11 months)

Conducted deep learning research on intelligent surveillance systems, including CNN and transfer learning anomaly detection achieving 97%+ benchmark accuracy. Built pose-guided attention for indoor safety monitoring (reducing false positives by ~30%) and developed YOLO/CNN-based models for face mask detection and other monitoring tasks.

Deep Learning CNN Transfer Learning Computer Vision Anomaly Detection YOLO Pose Guided Attention Research Publishing

Research Scholar (Ph.D.)

MITS Gwalior

Jan 2018 - Dec 2022 (4 years 11 months)

Conducted deep learning research for intelligent surveillance systems, achieving 97%+ accuracy on benchmark anomaly-detection datasets using CNN and transfer learning models. Built pose-guided attention and YOLO/CNN-based models for indoor safety monitoring, face mask detection, shoplifting recognition, and social distancing analysis, publishing 6 SCIE-indexed journal papers and 4 IEEE conference

Deep Learning CNN Transfer Learning Anomaly Detection Pose Guided Attention Recurrent Learning Computer Vision Python PyTorch

Assistant Professor

LNCT Bhopal

Aug 2017 - Dec 2017 (4 months)

Delivered lectures in Data Structures, Algorithms, and C/C++ programming to 120+ students and achieved a 95% student pass rate. Designed lab assignments and project prompts focused on real-world problem-solving and algorithmic thinking.

Data Structures Algorithms C C++Programming Instruction Curriculum Design Student Assessment Teaching

Assistant Professor (C/C++)

LNCT Bhopal

Aug 2017 - Dec 2017 (4 months)

Delivered lectures in Data Structures, Algorithms, and C/C++ to 120+ students, achieving a 95% student pass rate. Designed lab assignments and project prompts focused on real-world problem-solving and algorithmic thinking.

C C++Data Structures Algorithms Programming Instruction Lab Design Teaching Student Assessment Problem Solving Algorithmic Thinking Object Oriented Programming

Education

Degrees, certifications, and relevant coursework

MITS Gwalior

Ph.D. in Computer Science & Engineering, Computer Science & Engineering

2018 - 2024

Grade: 81%

Ph.D. research on designing and developing an efficient and intelligent human-computer interaction framework for pandemic scenarios using deep learning models. Completed with an 81% grade and an AICTE Full-Time Research Fellowship.

Madhav Institute of Technology and Science (MITS) Gwalior

Ph.D., Computer Science & Engineering

2018 - 2024

Grade: 81%

Activities and societies: AICTE Full-Time Research Fellowship recipient

Ph.D. in Computer Science & Engineering focusing on designing an efficient and intelligent human-computer interaction framework for pandemic scenarios using deep learning models. Received an AICTE Full-Time Research Fellowship and an 81% grade.