Rishabh Singla, PhD — Machine Learning Engineer
I am a Ph.D. in Computer Engineering from Texas A&M University, where I specialized in applying machine learning to enhance cybersecurity, particularly within critical infrastructure. My doctoral research, under the guidance of Dr. Narasimha Reddy, focused on developing innovative security mechanisms that preemptively identify and mitigate vulnerabilities in IoT and OT environments, crucial for safeguarding essential systems. I have a proven track record in leveraging machine learning algorithms, including NLP and deep learning, to tackle complex cybersecurity challenges, evidenced by my contributions during internships at Netflix and Arista Networks. At Netflix, I played a key role in enhancing an ML-based Account Takeover detection model, improving detection recall by 10%. My work involved developing independent methods for dataset labeling and feature exploration, significantly boosting model performance and flexibility. Similarly, during my time at Arista Networks, I improved the accuracy and consistency of device labels by unifying multiple user agent databases using advanced ML techniques. I am proficient in Python, TensorFlow, PyTorch, Spark and SQL, with a deep understanding of machine learning's role in enhancing cybersecurity. I am eager to apply my skills in a challenging environment where I can continue to drive innovation at the intersection of machine learning and cybersecurity. I am particularly interested in opportunities within Trust and Safety teams, where my expertise in data-driven security solutions can make a meaningful impact. Let's connect if you're looking for a dedicated and innovative ML Engineer who is passionate about advancing security in today's rapidly evolving digital landscape.
Stackforce AI infers this person is a Cybersecurity and Machine Learning expert focused on critical infrastructure.
Location: Cupertino, California, United States
Experience: 11 yrs 8 mos
Skills
- Machine Learning
- Cybersecurity
- Teaching
- Network Security
Career Highlights
- Ph.D. in Computer Engineering specializing in cybersecurity.
- Improved ML model recall by 10% at Netflix.
- Expertise in machine learning for critical infrastructure security.
Work Experience
Ladder
Senior Machine Learning Engineer (1 yr 2 mos)
Netflix
Machine Learning Engineer (3 mos)
Arista Networks
Security Research Intern (3 mos)
Texas A&M Engineering Experiment Station (TEES)
Graduate Research And Teaching Assistant (3 yrs 10 mos)
Texas A&M University
Graduate Research Assistant (2 yrs 10 mos)
Aricent
Network Specialist (0 mo)
Idea Cellular Ltd
Assistant Manager (3 yrs 10 mos)
Education
Bachelor of Technology (B.Tech.) at National Institute of Technology Kurukshetra
Doctor of Philosophy - PhD at Texas A&M University
