Aditi Gupta — DevOps Manager
I am a security leader with experience in a broad range of technologies. I love working on the intersections of distributed systems and security and building scalable systems to solve a security problem. I currently lead the Trust & Safety engineering team within Netflix that is responsible for building services and platforms that detect and mitigate fraud and abuse at scale. My team is responsible for mitigating threats such as DDoS, Account Fraud, Games abuse, Content leak etc. Before joining Netflix, I spent 4 years at Uber where I built out their bot defense service to secure the infrastructure against bot attacks. I also built the data layer access control platform at Uber to secure internal resources such as data stores. My PhD research spanned a wide range of security areas with main focus on system security and contextual access control. I extensively researched Return Oriented Programming (ROP) attack and developed software diversification based defense technique that use run-time binary randomization technique to generate a new binary image with every run. I also worked on intuitive and sensible access control mechanism for mobile devices that use contextual cues to automatically determine security policies for these devices. In my Master’s thesis, I worked on developing SCOSTA-PKI - a secure smart card operating system that incorporates PKI features such as digital signatures, origin integrity, public key encryption and certificate verification. This design is compliant to ISO/IEC-7816 international standards for smart card and SCOSTA-CL specification. These PKI features enhance the reliability and security of smart cards against unauthorized access. Specialties: DDoS, Access Control, System security, Distributed Systems, Buffer overflow attacks (with focus on Return Oriented Programming Attacks), Automated software diversity, Static and dynamic code analysis, Contextual Access Control, Mobile Security, Malware, RBAC, PKI, In-Memory Databases, Database kernel. Languages: Proficient in Golang/C/C++/Java/Python/SQL. For complete list of publications, please see https://scholar.google.com/citations?user=oqMo66wAAAAJ&hl=en
Stackforce AI infers this person is a Cybersecurity expert specializing in fraud detection and system security.
Location: San Mateo, California, United States
Experience: 15 yrs 5 mos
Skills
- Fraud Detection
- Distributed Systems
- Ddos
- Fraud Protection
- Bot Defense
- Infrastructure Security
- Access Control
- In-memory Databases
- System Security
Career Highlights
- Led Trust & Safety team at Netflix.
- Developed Bot Defense Platform reducing bot traffic by 80%.
- PhD research on advanced security techniques.
Work Experience
Netflix
Engineering Lead, Trust Services and Enforcement (1 yr 11 mos)
Staff Security Software Engineer (4 yrs 2 mos)
Uber
Software Engineer, Bot Defense Platform (3 yrs 10 mos)
Oracle
Senior Member of Technical Staff, Data layer and In-Memory database team (2 yrs)
Amazon
SDE Intern, Information Security team (3 mos)
Purdue University
Research Assistant (2 yrs 8 mos)
Nokia
Research Intern in Nokia Research Center (3 mos)
Research Intern in Nokia Research Center (6 mos)
EPFL (École polytechnique fédérale de Lausanne)
Research Intern (1 mo)
Inria
Intern (2 mos)
Education
Doctor of Philosophy (Ph.D.) at Purdue University
BTech+MTech (Dual Degree) at Indian Institute of Technology, Kanpur