Sabyasachi Saha
ML EngineerPrincipal Software Engineer (AI/ML) @Splunk (Cisco)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Principal Software Engineer (AI/ML) @Splunk (Cisco)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced in AI research and development. Lead development and deployment of AI and Machine Learning driven products. - Building Enterprise Generative AI solutions with LLMs, Agents - Machine Learning and Deep Learning based solutions for Malware Detection based on static and dynamic analysis - Graph Analytics and Deep Learning based solutions to identify various malicious activities or anomalies in the network - User Behavior Analysis, Anomaly Detection, Time Series
The University of Tulsa
PhD, Computer Science
N/A – Present
Indian Statistical Institute, Kolkata
MS, Computer Science
N/A – Present
Cisco
Principal Software Engineer (AI/ML)
February 1, 2024 – Present
San Francisco Bay Area · On-site
Juniper Networks
ML and Security
September 1, 2017 – December 1, 2023
San Francisco Bay Area
Cyphort Inc (Acquired by Juniper Networks)
Principal Data Scientist
August 1, 2015 – September 1, 2017
San Francisco Bay Area
Symantec
Principal Data Scientist
January 1, 2015 – July 1, 2015
Mountain View, CA
Narus Inc (Acquired by Symantec)
Researcher/Senior Member of Technical Staff, CTO's Office
February 1, 2011 – December 1, 2014
Sunnyvale, CA
Toyota ITC
Research Engineer
December 1, 2006 – February 1, 2011
Mountain View, CA
Cultural Fit Analysis
The candidate's career path shows a consistent focus on AI/ML within the cybersecurity domain, which aligns well with roles requiring deep technical expertise and innovation. The experience across multiple companies (Cisco, Juniper, Symantec, Toyota ITC) demonstrates adaptability to different organizational cultures. The PhD and research background suggest a strong inclination towards continuous learning and contributing to the field, which is beneficial for a research-oriented or advanced engineering culture. However, the lack of diverse project types outside of security might indicate a narrower scope of interest, which could be a factor depending on the specific cultural needs of the target role.
Soft Skills & Operational Fit
The candidate's extensive experience in research and development roles, coupled with a history of leading ML efforts, suggests strong problem-solving and analytical skills. The focus on network security and anomaly detection implies a detail-oriented and critical thinking approach. However, without specific project descriptions or interview data, it's difficult to assess collaboration, communication, or stress handling directly. The long tenure at companies like Juniper Networks and Narus Inc (acquired by Symantec) indicates stability and commitment.