Dr. Anubha Parashar

Dr. Anubha Parashar

Analytics & AI Engineer · AI Researcher · Research Scientist · Educator · Computer Vision Expert · Deep Learning Pioneer

Analytics & AI Engineer · Pearce Services · Gurugram, India

Ph.D. · Computer Science & Engineering · Manipal University Jaipur

50+
Publications
6
Patents
600+
Citations
10+
Keynote Talks
15+
Years Research
12+
Years Experience
Dr. Anubha Parashar
Founder, GaitAI
Dr. Anubha Parashar
AI Research Scientist · Founder, GaitAI

AI Research Scientist, Analytics & AI Engineer, educator and technology innovator with more than a decade of experience across AI, deep learning, computer vision, biometrics, generative AI, NLP and intelligent systems.

Ph.D. in Computer Science & Engineering
Specialization in Artificial Intelligence · Manipal University Jaipur. Doctoral research on gait recognition under occlusions, clothing variation and viewpoint changes.
About

Analytics & AI Engineer, Research Scientist
& AI Innovator

"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 over 50 peer-reviewed publications, 6 granted or published patents, more than 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.

Technical Stack

Focused AI Engineering Stack

AI/ML & Deep Learning

Python PyTorch TensorFlow Scikit-learn Deep Learning Optimization

Computer Vision & Biometrics

OpenCV Gait Recognition Pose Estimation Image Processing OCR Remote Sensing

GenAI, LLMs & Agentic AI

LLM Agents RAG LangChain FAISS LLaMA Hugging Face

Cloud, MLOps & Deployment

Docker FastAPI Streamlit Azure Google Cloud Amazon Web Services

Edge AI & IoT

Jetson Nano Raspberry Pi Arduino IoT Sensors Embedded AI Robotics Prototypes

Tools & Frameworks

GitHub Jupyter Google Colab PostgreSQL MongoDB MATLAB
Full Technical Stack

Languages

C C++ Java Python PHP JavaScript HTML XML CSS

Database

PostgreSQL Oracle MySQL Firebase MongoDB

Web Servers

Tomcat Apache IIS Heroku

Cloud

Google Cloud Platform ThingSpeak Microsoft Azure Amazon Web Services

Hardware Platforms

Jetson Nano Arduino Raspberry Pi Orange Pi Intel Edison STM32F401 NUCLEO AVR XMEGA TIVA C TM4C123G FRDM–K64F NXP Lolin NodeMCU

Operating Systems

Windows 10 Linux – Red Hat Linux – Ubuntu UNIX Raspbian

Core Computer Science

Theory of Computation Compiler Design Data Structures Algorithms OS Concepts Computer Networks Internet Technology Microprocessor DBMS Software Engineering Web Development

GenAI & Agentic AI

LLM Agents Agentic AI LangChain RAG FAISS DeepSeek Google Gemini GPT-4o LLaMA Hugging Face MCP gRPC Protobuf

Optimization & MLOps

OR-Tools PyVRP Ant Colony Optimization INT4 Quantization Low-Rank Adaptation FastAPI Streamlit Docker CI/CD MLOps Azure Container Apps Snowflake Redis pgvector

Software Tools

MATLAB GitHub LaTeX PyTorch OpenCV DLIB Anaconda Google Colab Django TensorFlow Spyder Jupyter Notebook Sublime Webots OpenSim Choregraphe RemoteXY Arduino Studio Node.js Flask MobaXterm Flutter NetBeans Eclipse Android Studio SmartDraw Microsoft Visio Selenium Photoshop Blender

Research Interests

Computer Vision & Biometrics Gait Recognition & Human Movement Analysis Generative AI, LLMs & NLP Edge AI, IoT & Embedded Intelligence Deep Learning & Applied Machine Learning Robotics, Human Motion & Intelligent Systems
Expertise

Research Areas

Computer Vision

Deep learning-based image analysis, object detection, segmentation, and visual intelligence systems for real-world applications.

Gait Recognition & Biometrics

Person identification through gait patterns, multi-modal biometric fusion, and behavioural analytics.

Deep Learning & Neural Networks

CNNs, RNNs, Transformers, and novel architectures for complex pattern recognition and classification tasks.

IoT & Edge AI

Intelligent systems on embedded hardware — Jetson Nano, Raspberry Pi, Arduino — for real-world AI deployments.

Humanoid Robotics

Bipedal locomotion, push recovery, and autonomous robot control using AI-driven motion planning algorithms.

Data Science & Analytics

Extracting insights from complex datasets through machine learning, statistical modelling, and visualisation.

Recommendations

I am open to AI collaborations, research partnerships, consulting, invited talks, and industry projects in Computer Vision, Biometrics, LLMs, and Applied AI.

GaitAI

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India