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ML/ AI | Security | Fortinet | IIT Bombay
I have led high-performing software development teams to deliver innovative solutions in network security, AWS cloud-based SaaS products, machine learning, and data loss prevention. Leveraged expertise in Python, Java, Linux, AI/ML, VMWare and AWS to architect and implement solutions. I have worked for industry leaders like Fortinet, McAfee, Cisco, and Sun Microsystems to develop products that secured networks , protected intellectual property and provided solutions for discovering and managing the digital assets , directly contributing to their top-line growth.
Indian Institute of Technology, Bombay
Bachelor of Technology (B.Tech.), Mechanical Engineering
N/A – Present
Ramnarain Ruia College
Higher Secondary Certificate (HSC), Science
N/A – Present
Fortinet
FortiCASB - Software Engineering
July 1, 2025 – Present
Fortinet
FortiDevice - Software Engineering - SaaS
September 1, 2023 – Present
Fortinet
OpenAI - Generating configuration - prompt engineering
April 1, 2023 – June 1, 2023
Fortinet
AI/Machine Learning - Software Engineering - FortiPolicy
March 1, 2021 – August 1, 2023
ShieldX Networks (Acquired by Fortinet)
ML/ Software Engineering, Network Security
July 1, 2017 – March 1, 2021
San Jose,CA
Machine Learning Consulting
AI/Machine Learning, Kaggle Competitions Expert (ranked in top 1% worldwide)
January 1, 2016 – February 1, 2021
Cupertino,CA
SupplierSoft
Director of Engineering
January 1, 2015 – January 1, 2016
San Jose,CA
Intel Security
Archtect/ Manager Network Security, DLP,Software Development
January 1, 2008 – January 1, 2014
Santa Clara,CA
Reconnex Corporation(Acquired by McAfee)
Principle Software Engineer
January 1, 2004 – January 1, 2008
Mountain View,CA
Cisco Systems
Software/IT Consultant
January 1, 2003 – January 1, 2004
San Francisco Bay Area
Marimba Inc.(Acquired by BMC Software)
Sr. Software Engr
January 1, 1999 – January 1, 2002
San Francisco Bay Area
Sun Microsystems(Acquired by Oracle Corporation)
Software Consultant
January 1, 1993 – January 1, 1999
San Francisco Bay Area
Godrej & Boyce Pvt. Limited, India
Sr. Software Engr
January 1, 1987 – January 1, 1993
Mumbai Area, India
Seminar on Marketing Mix Modeling with Bayesian Networks and BayesiaLab
Bayesia USA, LLC
June 24, 2026 – Present
Statistics One - Princeton University
Coursera
June 24, 2026 – Present
Introduction to Marketing,Operations Management,Financial Accounting,Corporate Finance
Wharton Online
June 24, 2026 – Present
Designing and Building Big Data Applications using Hadoop
Cloudera
June 24, 2026 – Present
Datastax Cassandra Architecture , Installation and Configuration
DataStax
June 24, 2026 – Present
Getting and Cleaning Data,Exploratory Data Analysis by Johns Hopkins University
Johns Hopkins Bloomberg School of Public Health
June 24, 2026 – Present
Social Network Analysis by University of Michigan
University of Michigan
June 24, 2026 – Present
Machine Learning by Prof. Andrew NG (Stanford)
Stanford University
June 24, 2026 – Present
Sun Certified Java Programmer and Web Component Developer
Sun Microsystems
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a very strong background in software engineering and machine learning, with significant experience in network security and cloud platforms. While the target role is 'Data Analyst', the candidate's experience leans heavily towards 'Data Scientist' or 'Machine Learning Engineer' roles, involving architecture, design, and coding of ML algorithms and data pipelines. The breadth of technologies and project diversity (network security, AI/ML, SaaS, prompt engineering) indicates a versatile individual. However, the direct alignment with a pure 'Data Analyst' role, which typically focuses more on reporting, dashboarding, and business intelligence rather than algorithm development and system architecture, is not a perfect fit. The candidate's profile suggests a more senior, hands-on technical role in data science or ML engineering.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles (Director of Engineering, Architect/Manager) and mentions introducing best practices in software development, suggesting strong operational and team management skills. The extensive experience across various companies and roles indicates adaptability and a broad understanding of software development lifecycles. However, specific soft skills like collaboration or problem-solving are not explicitly detailed beyond role descriptions.