Analytical & AI Engineer · Pearce Services · Gurugram, India
Ph.D. · Computer Science & Engineering · Manipal University Jaipur
"Always walk through life as if you've something new to learn and you will."
Dr. Anubha Parashar is an accomplished Analytics & AI Engineer, AI researcher, and educator with over a decade of experience in deep learning, computer vision, generative AI, biometrics, NLP, and intelligent systems. She currently works at Pearce Services, Gurugram, where she develops production-grade AI solutions for real-world applications, including solar panel defect detection, edge AI systems, forecasting models, scheduling optimization, OCR pipelines, and GIS-based analytics.
Prior to her current role, she served as a Research Scientist – Artificial Intelligence & Metaverse at Invincible Ocean, Gurugram (Apr 2024 – Dec 2024), where she delivered a suite of production AI systems: a Vehicle RC Data Chatbot powered by a fine-tuned LLM that reduced manual search time by 70%, a Virtual Try-On (VITON) platform using deep learning to overlay clothing on user photos at 95% satisfaction, and a Text Recognition & OCR pipeline built with Tesseract, PaddleOCR, and Paddle NLP achieving 98% accuracy with a Dockerized, Gemini-assisted backend.
Before her industry journey, she spent nearly eight years as a Senior Assistant Professor in Computer Science & Engineering at Manipal University Jaipur (Jul 2016 – Apr 2024), teaching and designing curriculum across AI, Deep Learning, Computer Vision, NLP, IoT, Image Processing, and Humanoid Robotics. She supervised 15+ M.Tech theses, collaborated with industry partners, and was recognised with the Excellent Young Researcher Award 2022 by Manipal University Jaipur.
She holds a Ph.D. in Computer Science and Engineering with a specialization in Artificial Intelligence from Manipal University Jaipur. Her doctoral research focused on robust gait recognition using deep learning to handle real-world covariates such as clothing variation, occlusion, viewpoint changes, and appearance differences. She has also served as a Visiting Scholar at the University of Zagreb, Croatia, and has extensive academic experience as a faculty member and research mentor.
Her research profile includes 50+ peer-reviewed publications, 6 granted or published patents, 10+ keynote talks, and reviewer roles for leading international journals and conferences. Her research interests include gait recognition, biometrics, large language models, generative AI, computer vision, NLP, robotics, IoT, bipedal locomotion, and brain–computer interaction.
At the core of her work, Dr. Parashar is a builder of intelligent systems — combining research depth, engineering execution, and academic leadership to create AI solutions that are practical, scalable, and impactful.
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Database
Webserver
Cloud
Hardware Platforms
Operating System
Subjective Knowledge
GenAI & Agentic AI
Optimization & MLOps
Software Tools
Research Interests
Deep learning-based image analysis, object detection, segmentation, and visual intelligence systems for real-world applications.
Person identification through gait patterns, multi-modal biometric fusion, and behavioural analytics.
CNNs, RNNs, Transformers, and novel architectures for complex pattern recognition and classification tasks.
Intelligent systems on embedded hardware — Jetson Nano, Raspberry Pi, Arduino — for real-world AI deployments.
Bipedal locomotion, push recovery, and autonomous robot control using AI-driven motion planning algorithms.
Extracting insights from complex datasets through machine learning, statistical modelling, and visualisation.