Rishiraj Parmar
Mumbai
Summary
Detail-oriented and reliable professional with expertise in managing multiple priorities while maintaining a positive outlook. Strong willingness to embrace additional responsibilities to achieve team objectives. Proven ability to optimize systems and align technical solutions with overarching business goals, driving efficiency and effectiveness in operations. Committed to fostering a collaborative environment that encourages innovation and continuous improvement.
Overview
1
1
Certification
Work History
Cybersecurity Intern
Niveshan Technologies
05.2025 - 07.2025
- Assisted in monitoring network security for potential threats and vulnerabilities.
- Supported incident response efforts by documenting and analyzing security breaches.
- Conducted research on emerging cybersecurity trends and best practices.
- Collaborated with team members to develop standard operating procedures for security protocols.
- Assisted in penetration testing of client websites and actively contributed to vulnerability management and network monitoring.
Education
B. Tech - Computer Engineering
MPSTME, NMIMS University
Mumbai01.2026
Diploma - Computer Engineering
MPSTME, NMIMS University
Mumbai01.2023
ICSE -
Lilavatibai Podar High School
Mumbai01.2020
Skills
- Core Competencies: Analytical problem-solving, System design and optimization, Real-time data processing, Collaborative and self-driven, Strong documentation and communication, Agile/Scrum exposure, Rapid adaptability
- AI and Deep Learning Systems: CNN-based face recognition and emotion detection, TensorFlow & OpenCV pipelines (preprocessing, alignment, augmentation), Model optimization and tuning, Real-time inference using webcam, Reduced model latency by 30%
- Graph and Simulation Intelligence: Graph Neural Networks (GNNs), and Dijkstra algorithms for traffic optimization, Flask-based interactive map visualization, Python & C real-time system simulation, Computational efficiency improvements (20% faster route computation), Interest in safety-critical and embedded software
- Blockchain and Smart contracts: Rust and Anchor framework (Solana), Token minting, vesting, and wallet setup, Web3 and Solana CLI integration, Secure transaction workflows, Version control and deployment with Git/GitHub
- Data Visualization & BI: Power BI dashboards, DAX modeling, SQL analytics, Interactive reporting, KPI design, Data cleaning & transformation, Automated insights, Multi-source data integration
- Programming & Tools: Python, Java, C/C, JavaScript, HTML, CSS, SQL, Rust, Flask, TensorFlow, OpenCV, Postman, Git/GitHub, Docker, Linux
Certification
- Cyber Threat Management (Cisco Network Academy)
- Cybersecurity Essentials for Professionals (SecureClaw)
- Project management: the start of the project journey (The open University)
Timeline
Cybersecurity Intern
Niveshan Technologies
05.2025 - 07.2025
B. Tech - Computer Engineering
MPSTME, NMIMS University
Diploma - Computer Engineering
MPSTME, NMIMS University
ICSE -
Lilavatibai Podar High School
Projects
- Identifying High Risk Zones 2023: I built a predictive framework using NCRB data to forecast prison overcrowding in India. I used Random Forest to predict inmate trends (2023–2025), applied K-Means clustering to group states by risk levels, and used Isolation Forest to detect anomalous patterns. I engineered features such as conviction rates and overcrowding indices and used PCA for visualizing state-wise trends. This system enables data-driven identification of high-risk regions for policy planning.
- Blockchain Token transfer using Solana 2025: Developed a decentralized token transfer system on Solana using Rust and the Anchor framework. Designed and deployed smart contracts for wallet creation, token minting, and vesting logic. Integrated with Solana CLI and Web3 for secure, transparent token transactions. Followed modular OOP design, versioned the project with Git, and tested the contracts for performance and scalability.
- Mumbai Navigation System using GNN 2025: Built an AI-driven navigation system for Mumbai using Python, Flask, and Graph Neural Networks (GNNs). Designed intelligent routing models combining A , Dijkstra, and GNN algorithms for real-time traffic prediction and path optimization. Utilized HTML, CSS, and JavaScript for an interactive web interface and implemented database management for storing live traffic data. Maintained codebase using Git and adhered to OOP and SDLC best practices.
Achievements and Positions of Responsibility
Head of Technology, IEEE Robotics and Automation Society: Led the technical division overseeing development and implementation of robotics and automation projects. Managed a team of developers in organizing workshops and coding sessions on AI, IoT, and embedded systems. Contributed to the strategic planning of technical initiatives and ensured smooth execution of events and research activities.