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Nidhi Joraviya

@nidhijoraviya

Ph.D. researcher specializing in cybersecurity, intrusion detection, and applied machine/deep learning in cloud environments.

India

Message

What I'm looking for

I’m looking for a role where I can build intrusion detection and anomaly detection systems with machine/deep learning for cloud and network security—combining research, real-world deployment, and strong model optimization in a privacy-first culture.

I’m a Ph.D. Research Scholar at SVNIT, specializing in security and privacy in containerized cloud environments. My work focuses on building intrusion detection systems that blend research rigor with applied AI.

I’ve developed multiple IDS approaches using machine learning and deep learning, including feature engineering from system calls, syscall-to-image transformations, and ensemble CNN models. I validate against real-world datasets like LIDDS2019 and LIDDS2022 and publish in reputed journals and conferences.

Alongside academia, I completed an industrial internship at Alstom on anomaly detection for the train subsystem and autonomous advanced operations for network optimization using train schedules. I also served as an LLM Model Trainer (SME‑Pod Lead) at Turing, where I trained and optimized an LLM to improve performance and efficiency.

I’m motivated by work that improves detection accuracy, strengthens security for modern cloud systems, and translates models into dependable real-world outcomes—especially through context-aware learning and efficient training pipelines.

Experience

Work history, roles, and key accomplishments

Current

PhD Research Intern

Current

Alstom

Mar 2025 - Present (1 year 1 month)

Developing foundation models for anomaly detection in mobility environments. Optimizing network capacity via timetable rescheduling using Graph Neural Networks and Reinforcement Learning.

Anomaly Detection Reinforcement Learning Network Optimization Python

LLM Model Trainer

Turing

Oct 2023 - Feb 2024 (4 months)

Trained and optimized an LLM model to improve its performance and efficiency in a subject-matter expert (SME) pod lead capacity.

NLP Machine Learning Python TensorFlow Keras Remote Training

Teaching Assistant

Sardar Vallabhbhai National Institute of Technology (SVNIT)

Jul 2017 - May 2020 (2 years 10 months)

Assisted in teaching and grading coursework in machine learning, distributed systems, web programming, C programming, automata and formal languages, and parallel processing architecture.

Machine Learning Distributed Systems Web Programming C++ Programming Automata And Formal Languages

Software Developer

SSM Infotech

Sep 2016 - Jun 2017 (9 months)

Developed software modules for an alarm management system for the oil and gas industry and for enterprise management systems using C#/.NET.

C#.NET Software Development Enterprise Systems Modules Object Oriented Programming

Software Trainer

Sun Info System

Oct 2015 - Aug 2016 (10 months)

Trained students for software certification exams (Sun, Oracle, and Microsoft) and instructed courses covering C, C++, VB, C#, ASP.NET, HTML, CSS, JavaScript, and jQuery.

Training Delivery C#ASP.NET HTML CSS JavaScript jQuery

Education

Degrees, certifications, and relevant coursework

Sardar Vallabhbhai National Institute of Technology (SVNIT)

Doctor of Philosophy (Ph.D.), Intrusion Detection Systems (Security & Privacy)

2020 -

Grade: CGPA: 8.91/10.00

Ph.D. research on an intrusion detection system using machine learning and deep learning in containerized cloud environments. Coursework completed with CGPA 8.91/10.00; advisor: Dr. Bhavesh N. Gohil; co-advisor: Dr. Udai Pratap Rao.

Parul Institute of Technology (Gujarat Technological University)

Master of Engineering (M.E.), Computer Science and Engineering

2013 - 2015

Grade: CGPA: 8.16/10.00

M.E. in Computer Science and Engineering. Thesis focused on resource allocation as per demand prediction in cloud; CGPA 8.16/10.00.

Sarvajanik College of Engineering and Technology (SCET)

Bachelor of Technology (B.Tech), Computer Engineering

2009 - 2013

Grade: CGPA: 7.64/10.00

B.Tech in Computer Engineering. Capstone/project work included an enterprise productivity information center and intrusion detection system using vector-based system calls; CGPA 7.64/10.00.