San Jose, California, United States
As an innovative technology leader, I am dedicated to driving impactful projects and nurturing top-tier teams across various domains. My career is distinguished by a proven ability to deliver cutting-edge enterprise-level solutions in Artificial Intelligence, Machine Learning, Natural Language Processing, Cybersecurity, and Cloud Infrastructure. I excel in managing complex initiatives and aligning them with client goals, consistently contributing to the success of the teams I lead. With a strong background in DevOps and Generative AI, I have built and mentored high-performing engineering and cybersecurity teams that prioritize operational excellence. My approach centers on forging robust relationships with global partners, IT leaders, and stakeholders to tailor highly customized, scalable solutions. Key initiatives I have led include: • Developing and implementing an AI-powered Cloud Security Posture Management (CSPM) solution using OpenAI. • Leading an AI project to analyze sentiments from financial news and social media, aiding in stock and commodity market strategies. • Streamlining the onboarding process for third-party applications by creating a middleware solution, resulting in $500K in annual client savings. • Enhancing Sarbanes-Oxley (SOX) compliance for a financial client by refining DevOps controls and advising on process improvements to ensure successful certification. ▪ Directed a financial client in refining Baseline Configuration Management (BCM), uncovering critical governance and operational weaknesses, and delivering a strategic roadmap for risk mitigation. My ability to bridge communication gaps between business and technology groups has been instrumental in achieving project goals and driving success.
Developing and implementing a Time of Flight (ToF) sensor validation system by integrating multiple vendor’s SW applications, rail positioning system, cloud storage, data processing and analysis, and GUI.
Teaching AI for Business Leaders: The course provides students with a foundational understanding of AI, covering its history, core concepts, and diverse business applications, key AI techniques such as ML, NLP, LLM, and their strategic impact on business and cybersecurity operations.
EV charging patterns analysis for various geographical locations in California based on the charging station geospatial data. Developed big data mining, analysis and statistical data processing algorithms for traffic modeling for the State of California. Developed Java- (Eclipse, Maven) application for traffic simulation. Implemented Apache Torque interface to an Oracle-based application. Optimized database performance (Oracle, Derby). Implemented algorithms for performance measures.
Developed an AI-powered Cloud Security Posture Management (CSPM) solution using OpenAI, integrating cybersecurity baselines, third-party tools, and client requirements while collaborating with stakeholders to enhance security and recommend risk-based improvements. The solution is taking inputs from multiple sources (Microsoft Purview/Defender, Crowdstrike, WIZ). Directed a financial client in refining Baseline Configuration Management (BCM), uncovering critical governance and operational weaknesses, and delivering a strategic roadmap for risk mitigation. Assisted a client with FedRAMP audit of client’s Azure-based system by developing System Security Plan sections for Authentication, Configuration Management, Segregation of Duties and DevOps. Trained and the client to identify required evidence for each control. and earning repeat engagements due to exceptional client satisfaction. Advised clients on cyber security architecture for Cloud applications including implementations in Azure Cloud, Service Fabric clusters, WAF, VMSS, TrendMicro, Splunk insuring complete data protection. Validating robust CI/CD pipelines including Jenkins, GitHub etc. Partnered with a financial client to strengthen Sarbanes-Oxley (SOX) compliance by streamlining DevOps controls and advising executive leadership on process enhancements to ensure successful certification. Architected and developed software tools for Azure DevOps automation utilizing .Net, C#, PowerShell, Azure CLI, Synapse, and PowerBI. Managed a team of senior level engineers and worked cross-functionally with client’s leadership. Managed implementation of an IAM access management system to provision, control, and audit access to 200+ internal and external applications for 10,000+ users (Saviynt, AWS). Streamlined the onboarding of third-party applications by creating a middleware solution that accelerated the process by 10x, resulting in $500K in yearly client savings.
Developed and deployed an AI-driven NLP system for Cadence's technical support, automating solution recommendations, accelerating complex issue resolution. Achieved $300K in annual labor savings and reduced response times using Python, Scikit-Learn, and Tika.