AI Security Research: Working on the intersection of Malware Analysis and LLMKey Responsibilities:❒ Collaborate with Malware Analysts: Work closely with malware analysts to identify the requirements, scopes, and environments for implementing LLM solutions in malware detection and analysis.❒ Model Development and Optimization: Develop, evaluate, optimize, and scale core malware classification models. Enable large-scale training and inferencing of advanced AI models on novel AI hardware.❒ AI Algorithmic Innovation: Operate at the intersection of AI algorithmic innovation, purpose-built AI systems, tools, frameworks, and software to drive forward the capabilities of malware detection technologies.❒ LLMOps and System Integration: Design, integrate, and maintain systems for LLM operations, ensuring seamless deployment and operation of AI models in production environments.❒ Research and Development: Conduct cutting-edge research in AI and cybersecurity, staying abreast of the latest developments in both fields to continuously improve our malware detection capabilities.❒ Cross-functional Collaboration: Work closely with researchers, developers, and other stakeholders to ensure the successful implementation and scaling of AI solutions.❒ Performance Monitoring: Monitor and analyze the performance of AI models in detecting and classifying malware, making necessary adjustments to improve accuracy and efficiency.❒ Documentation and Reporting: Maintain comprehensive documentation of research findings, model development processes, and system integration efforts. Report progress and results to stakeholders.

Working on: Malware Filter Framework (MFF). MFF's technology map covers Linux C programming, memory management, optimization and troubleshooting, CPU performance profiling, Linux Kernel development, and user-space C process development. As a Software Engineer on the network appliance embedded software development team, I:• Participate in software design, coding, and debugging in all aspects of the software development lifecycle.• Proactively seek and participate in module refactoring to improve the overall design and coding standards by collaborating with my colleagues.• Implement and support effective software design patterns to improve and streamline the overall design, ensuring that our codebase is optimized and efficient.• Introduce and incorporate the best software engineering practices in the industry, (i.e., testing, design, and software building technologies) to improve comprehensive software engineering efficiency.

Firmware Development: Code and maintain embedded software for robot control.Sensor Integration: Integrate sensors for navigation and obstacle avoidance.Control Algorithms: Develop precise motion and stability control algorithms.Communication Protocols: Design protocols for robot-to-robot and central system communication.Testing and Debugging: Ensure reliability and safety through rigorous testing and issue resolution.

Dr. Neha Gupta received the Public Humanities Hub award and recruited me to work on ‘Interactive Visualization of Digital Archaeological Collections on Open Context’. This project sought to develop digital tools to navigate and explore digital archaeological collections on Web-based platforms. Such digital tools are necessary to enable public understanding of archaeological data and their interpretation, promote the re-use of digital collections, and to build capacity in digital archaeology.

DeepSense

Plagiarization Detection for online large-scale document corpus

ARISE – Artificial Intelligence in production planning and management

Computer Organization and ArchitectureProgramming Language II - JavaDatabase SystemsDigital Logic DesignMicroprocessor, Microcontroller and Peripheral DevicesIntroduction to VLSI design.Introduction to frameworks for web-development

Department of English and Modern Language,School of Humanities & Social SciencesCourses Taught:Introduction to CompositionIntroduction to Advanced Intermediate CompositionsIntroduction to Fiction