Khaleed Ahmed Khan — VP of Engineering
Result-driven engineering leader with 18+ years of experience with 7 years in senior management roles.I am passionate about building and guiding high-performing global teams in developing innovative, scalable solutions for complex customer challenges. I thrive in fast-paced environments and enjoy working on cutting-edge technologies that address real-world problems. As a people-centric leader committed to empowering individuals and fostering inclusive team cultures for sustained success. Organization Leadership: - End-to-End product ownership with a proven track record of delivering high quality products by leading Managers, Sr Security researchers, Scientist, and software engineers for the mid-to-large size teams. - Scale up, manage & inspire distributed teams (India and UK) and fostering strong collaboration with global cross-functional teams (India, US, UK). - Actively champions organizational growth and engagement by leading initiatives such as Culture Connect and mentorship programs. - Adept at leading globally distributed, multi-million dollar revenue projects using the Agile Delivery Model. Technology Leadership: - Develop and launch Security research based techniques to detect Ad-fraud on Amazon Ads. - Scale up ad-fraud detection using machine learning models ( supervised/un-supervised, Deep learning, GenAI) - Build and launch real-time and offline micro-services to collect/process/invalidate ad-events at Amazon scale(40B impressions) with low latency. - Security research including threat modelling(Ad-fraud-kill-chain) and hunting, reverse engineering of ad-ware, malvertising, red team efforts, Identification bad actors and disclose ad-fraud operations. - Transformed endpoint security product from on-premise to SaaS Zero Trust Access solution. - Build portfolio capabilities from ground-up in the area of Device Profiler and Behavioral Analytics - Multifold Network Access Control (NAC) product growth with building features around Visibility, Ecosystem support expansion & IoT Enforcement. Core Competencies: Software Development, Machine learning Models(supervised, Unsupervised, deep learning, GEnAI), Security Research, WAF-DDoS, zero trust (ZTNA), Network access control (NAC), Device Security, AWS Cloud development, performance, scaling, Storage, RAID. AppFabric.
Stackforce AI infers this person is a Cybersecurity and AI expert with extensive experience in engineering leadership.
Location: Bengaluru, Karnataka, India
Experience: 19 yrs 1 mo
Skills
- Engineering Leadership
- Ai Ethics
- Machine Learning
- Security Research
- Network Access Control
- Endpoint Security
Career Highlights
- 18+ years of engineering leadership experience
- Expert in AI-driven security solutions
- Proven track record in managing global teams
Work Experience
Atlassian
Senior Engineering Manager (5 mos)
Uber
Engineering Manager (4 mos)
Amazon
Engineering Manager (5 yrs 3 mos)
Pulse Secure
Senior Engineering Manager (2 yrs 10 mos)
Member Technical Staff (3 yrs 9 mos)
NetApp
Member Technical Staff (2 yrs 2 mos)
LSI, an Avago Technologies Company
Staff Software Engineer (4 yrs 3 mos)
Education
Executive Program in Leadership and Management at Indian Institute of Management, Calcutta
BE at Visvesvaraya Technological University