Oct 2022 – Oct 2022 · 0 mo

• Huntress CTF 2024: Earned a rank of 80 amongst 3k+ teams.
• UMDCTF 2024: Achieved 7 out of 13 team solves and earned a rank of 23 in the Student's Division and 51 in all divisions.
• Fetch the Flag CTF 2023 by Snyk: Earned a rank of 39 out of 1287 teams as a member of Space.Cows.
• National Cyber League Fall 2023 by Cyber Skyline: Earned a rank of 106 out of 585 participants in the Individual Game a rank of 63 out of 457 teams in the Team Game within the Experienced Student Division.
• CSAW'23: Our team "UMDCSEC" earned a rank of 1 solving all challenges.
• Cyber Apocalypse CTF 2023 by HackTheBox: Earned a rank of 502 solving 27 challenges across categories such as Pwn, Forensics, Misc, Rev, Hardware, Crypto, and ML as the Team Captain of 0d4yR007 (two members).
• LA CTF 2023 by UCLA: Earned a rank of 186 out of 980 teams as a member of the she!!_exp!0it team solving 9 challenges.
• Pragyan CTF 2023 by NIT Trichy: Earned a rank of 69 out of 400 participants solving one reversing and one forensics challenge.
• IrisCTF 2023: Earned a rank of 40 as the sole member of the team "Space.Cows".
• DownUnderCTF 2022: Earned a rank of 544 with 500 points as a sole competitor (nier0x00) in the team “UMDCSEC-B”.
• Flare-On CTF 2022: Earned a rank of 2475 in the competition.
• National Cyber League Fall 2022: Earned a rank of 397 out of 6675 participants in the Individual Game.

Nov 2021 – May 2022 · 6 mos · Delaware, United States

• Successfully implemented a data pipeline and API interface for the Taxonomy Recommendation and Classification Engine, utilizing APA's Azure SQL database.
• Developed a Ticket Priority Scheduler that utilizes a blend of classification and regression algorithms to accurately prioritize tickets with a fresh data accuracy rate of 94%.
• Conducted a comprehensive analysis of MMYT and EMT stocks, incorporating historical data from Yahoo Finance and existing quarterly financial statements to predict future stock values.
• Utilized the Sobel Edge and Harris Corner Detection techniques, in conjunction with a Gaussian mixture model, to match appliance images and group their edges and corners.

Sep 2021 – Oct 2021 · 1 mo · Delhi, India

• Constructed an SQL query that automatically assigns a manager to BDAs/BDMs that are without a manager at that moment.
• Created multiple SQL queries reporting sales metrics achieved by BDA/BDM/SDBMs and created Sales Dashboards in Metabase visualizing the same.

Apr 2021 – Jul 2021 · 3 mos

• Completed three Netacad courses (Introduction to Cyber Security, Cybersecurity Essentials and Introduction to Packet Tracer) and achieved 100% in the final assessment.
• Implemented a network simulation of Bennett University on Packet Tracer divided into several departments with DHCP, NAT, ARP, HTTP, FTP, SMTP and other such protocols employed.

Apr 2021 – Jun 2021 · 2 mos

• Performed a comprehensive Penetration Test on Neubrain's web server hosting WordPress websites and uncovered 4+ critical vulnerabilities including the use of unsafe WordPress plugins, weak passwords, and insecure PHP code.
• Upon immediate employment, performed Incident Response on defacement of the web server and reported the method of infiltration and exfiltration.
• Reduced the attack surface by 40% by fortifying the WordPress server via Web Application Firewalls (WAFs), necessary upgrades and code reviews.

Jan 2021 – Apr 2021 · 3 mos

• Led a team that created an IoT Device Classification and AI-powered Anomaly Detection prototype, using tools such as Spark, XGBoost, Sklearn, Zeek, Argus, and TShark, achieving 91% accuracy on fresh data. The prototype was selected as a finalist in the 'Cyber Security Grand Challenge!' organized by DSCI.
• Successfully deployed Apache Metron as a Big Data Network Intrusion Detection Solution on an AWS IoT Greengrass testbed, achieving an accuracy of 92.4% and a false positive rate of 0.24% in detecting malicious attacks automated by Guardicore's Infection Monkey.

Aug 2020 – Dec 2020 · 4 mos

• Contributed towards creating Machine Learning Labs for peers.
• Held doubt sessions for peers regarding labs and miscellaneous ideas in Machine Learning.
• Helped out peers in Machine Learning problems, concepts and labs.

May 2020 – Oct 2020 · 5 mos

• Compiled Penetration Testing Reports on 2 vulnerable client sites and reported several highly critical vulnerabilities such as SQL Injection and Remote Command Execution (RCE).
• Investigated technical aspects of fileless malware, documenting Office macro attacks and in-memory injection of payloads using PowerShell and gained insight into Active Directory engagements.
• Dissected the internal workings of tools such as TheFatRat and Veil Framework and acquired a deeper understanding of encryption mechanisms such as XOR/AES Encryption and basic code obfuscation techniques.
• Examined manual SQL injection, memory-based exploitation, and local/remote file inclusion attacks on dummy websites and open services on servers and developed scripts to automate exploitation using Python.