🤖 Developed a highly efficient SOC assistant, using generative AI, and advanced RAG architecture. This streamlined SOC operations, significantly enhancing cybersecurity measures by processing data from various threat databases, APIs, and real-time network activity alerts, while generating actionable insights and responses for rapid threat mitigation.💡🌐 Created inference APIs for large language models (LLMs) with FastAPI, hosted via Gradio interfaces for seamless AI interactions. 💬. Deployed LLMs🚀 on Amazon Sagemaker and local environments.📃 Developed an information retrieval system with a custom PDF parser that parses PDF and chunks it into meaningful embeddings, enhancing control over data for large language models' responses. This setup benefits RAG (Retrieval-Augmented Generation) without the need for extensive retraining.🧠 Implemented the latest RAG architecture, utilizing the Milvus vector database for LLMs enhanced language processing capabilities using information retrieval.📃 Worked on prompt engineering with new and advanced prompting techniques to provide the best possible answers for user queries and enhance AI responses.🕵️‍♂️ Utilized cybersecurity data for fine-tuning LLMs specifically for cybersecurity.📈 Designed a new microservice as Rest API that scored web domains utilizing nameserver data to calculate their trustworthiness. Gathered data, classified domains by nameservers, and detected malicious connections to C2 servers, thus enhancing threat detection by using Python, FastApi, Swagger, and statistical modeling.🌐 Contributed to the enhancement of Cylance Gateway's Domain Classifier, making endpoint security more robust and enhancing threat detection. Collaborated on refining machine learning model APIs to boost accuracy by adding a few new features.📊 Used Suricata, a powerful tool for logging network events. Additionally, built a low-scale SIEM system with Elasticsearch and Kibana, enabling real-time monitoring.

As a passionate cybersecurity enthusiast, I had the unique opportunity to intern at DRDO, where I delved deep into the world of cybersecurity. My internship focused on developing cutting-edge cybersecurity solutions to be worked as defense mechanisms upon need. 🌐 I Worked upon the following projects :1.) Developed malware and backdoors for various OSs.2.) Analyzed WiFi traffic for sensitive data.3.) Created Python scripts for MAC address manipulation, network scanning, ARP spoofing, packet sniffing, DNS spoofing, and HTTPS bypass (SSL-striping).

During my internship at IIT Bombay, I immersed myself in the field of robotics, gaining practical experience with cutting-edge technologies. My main focus was on developing robotics projects using ROS2 to teach beginners. The main aim was to impart valuable insights into the world of ROS2, perception-driven robotics, and Gazebo simulation.🌐 Key Projects:1.) Sahayak Bot: One of the most innovative projects I contributed to, Sahayak Bot was designed to autonomously pick and place objects in indoor environments. I played a pivotal role in the following aspects:-+- Mapping: Utilized Gmapping for 2D map creation with lidar-based collision avoidance.-+- Navigation: Configured DWA planner for smooth, collision-free robot movement.-+- Perception Pipeline: Developed a pipeline for object identification, detection, and centroid calculation, involving point cloud processing and filtering.-+- Object Recognition: Trained a robust SVM model for accurate object recognition, even under varying lighting conditions.-+- Control Systems: Designed a system for UR5 arm pick-and-place operations using calculated object poses.2.) e-Drone: A project that involved mastering the art of drone control and hovering in a simulated environment, utilizing PID tuning for precision.3.) UR5 Robotic Arm: I worked on the UR5 robotic arm, gaining expertise in manipulator control, especially in pick-and-place operations.4.) Simba Bot (Differential Drive Robot with Kinect): I had the opportunity to work on Simba Bot, a differential drive robot equipped with Kinect. This project sharpened my skills in creating mobile robots and implementing perception using depth cameras.

This internship allowed me to explore deep into the intersection of cybersecurity, blockchain, and cryptography, preparing me for the ever-changing demands of the cyber world.Key Accomplishments:1.) Developed a secure methodology for web transactions using blockchain technology.2.) Ensured data accuracy with Luhn's Mod 10 Algorithm.3.) Implemented user-friendly QR code technology for transaction data.4.) Created a robust 5-block blockchain for secure financial transactions.5.) Gained hands-on experience in cryptography and its real-world applications.

During my internship as a Cybersecurity Intern with Noida Police organized by Mr. Ankur Aggarwal (IPS), I gained invaluable exposure to real-world cybercrimes and cyberattacks at the ground level. This experience provided me with a solid understanding of the challenges and cyber crimes individuals face and the critical need to fight cyber threats.🔒 Key Highlights:1.) Actively engaged in investigating and mitigating various cybercrimes, including phishing fraud and OTP scams, to protect individuals from digital threats.2.) Acquired practical training in the course of Certified Ethical Hacking (CEH) path, equipping me with the skills and knowledge to proactively fight against cyber adversaries.

🌐 What I've Done 🌐1.) Assisted Mr. Rakshit Tandon in a United Nations project, focusing on researching online crimes against women and children, including Cyber-Enabled Trafficking in India and neighboring countries.2.) Investigated hidden Onion/Tor websites on the Dark web where human trafficking operations occur, with the goal of revealing their operational methodologies for prevention.3.) Gathered information on the operations of human traffickers and created a detailed report, thus contributing to a UN initiative for Anti Human Trafficking.

Interned in the cybersecurity domain with Gurugram Police, under the expert guidance of Mr. Rakshit Tandon. It was an enriching experience, allowing me to make a meaningful impact in keeping our digital world secure. Worked with a team of 7 people to create an app that can detect fraud/malicious websites considerably.🌐 What I've Done 🌐1.) Leveraged VirusTotal API to analyze URLs for potential threats and enhance threat detection.2.) Developed and implemented a basic machine learning model using Multinomial Naïve Bayes to classify URL domains, improving phishing attack identification.