About
M.Tech Computer Science student with 1+ years of AI/ML experience in computer vision and deep learning. Proven track record in developing real-time ML applications with 95% accuracy. Skilled in Python, PyTorch, with hands-on experience in full-stack development. Also tech enthusiast such as blockchain, Networking, Cryptography, Cybersecurity, Ethical Hacking and Penetration Testing.
Skills & Expertise (51)
Work Experience
Cybersecurity Intern
CFSS Global Cybersecurity Internship Program
Feb 2026 - May 2026
Completed an intensive advanced cybersecurity program, architecting and deploying a suite of six high-fidelity security simulation toolkits to address multi-domain threats. Transitioned theoretical security frameworks into production-ready, API-driven solutions, bridging deep technical network analysis with executive-level risk visualization. Conducted comprehensive vulnerability assessments, digital forensics, and threat actor profiling, ensuring all findings were backed by real-time system execution and evidence. Generated 6 long-form technical LaTeX reports detailing forensic methodologies, CVSS 3.1 scoring logic, and actionable remediation strategies for simulated enterprise environments.
Ethical Hacking and Penetration Testing
C-DAC, Noida
Nov 2024 - Dec 2024
Conducted comprehensive penetration tests on web applications and network infrastructures. Identified and reported 50+ vulnerabilities including SQL injection, XSS, and CSRF. Utilized tools like Metasploit, Nmap, and Burp Suite for vulnerability assessment. Provided actionable recommendations to enhance security posture and mitigate risks. Packet analysis and network traffic monitoring using Wireshark and Elastic Search and Argus.
AI/ML Intern
Scaledge Technology
Feb 2023 - Oct 2023
Developed computer vision models achieving 95% accuracy in landmark detection using PyTorch and TensorFlow. Implemented real-time object tracking system processing 30+ FPS video streams with deep_sort algorithm. Built scalable ML applications deployed on AWS EC2 with Kubernetes, serving 1000+ concurrent users. Collaborated with 5-member cross-functional team to deliver 3 production-ready ML applications. Reduced model inference time by 40% through optimization techniques and efficient architecture design.
AI/ML Intern
InfoLabz
Mar 2022 - Apr 2022
Completed intensive machine learning training program with hands-on project development. Implemented classification algorithms achieving 88% accuracy on real-world datasets. Developed data preprocessing pipelines using NumPy and Pandas for efficient model training. Gained proficiency in deep learning frameworks and statistical modeling techniques.
Education
M.Tech. in Computer Science and Engineering (CSE) - Indraprastha Institute of Information Technology, Delhi
2024 - · Afghanistan
B.E. in Computer Science and Engineering (CSE) - Madhuben and Bhanubhai Patel Institute of Technology, Anand, Gujarat
2019 - 2023 · Afghanistan
CBSE Higher Secondary Certificate (HSC) - Jawahar Navodaya Vidyalaya, Bhavnagar
2018 - 2019 · Afghanistan
CBSE Secondary School Certificate (SSC) - Jawahar Navodaya Vidyalaya, Bhavnagar
2016 - 2017 · Afghanistan
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Skills (51)
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