Suprit Kulkarni

Worked as Team Lead - Threat Intel Platforms Developer with Culinda India Pvt. Ltd. having 7 Years 3 months of professional experience in developing APIs, Azure Functions using Python backend, Swimlane SOAR Integrations, SIEM tools like Splunk and ELK, Machine Learning with Python, Threat Intel Practices, orchestrating the infrastructure with DevOps tools and setup and administering Application stack involving virtualization in VMWare and cloud services like Azure, AWS, Shell scripting for Backups, DC Migrations, Programming and Big Data Analytics skills.

• Applied for Patent on “Malware Classification using Modified Fuzzy Neural Network using MapReduce” through FireEye Patents and Licensing
• Hackathon 2017: FAST (FireEye Advanced SMT Solver): A CSV file containing PE Header fields extracted out of binary files was feed and Feature Selection was done where important fields from PE File Header were used to feed to a Random Forest tree Classifier algorithm and Classification using Random Forest trees was done and a decision was made to go to a SMT Solver (Z3/CVC4). This Machine learning algorithm's accuracy was calculated around 94%.
• Hackathon 2016: RansomBeware, here, we built a Ransomware Detection system using a cuckoo sandbox, where samples were analysed and using Tessaract-ocr python library, keywords like "bitcoin address", etc. were extracted out of the screen lock images and to mark the samples as Ransomwares.
• Delivered 4 Webinars on “The DevOps way of Automating & Securing IT Infrastructure” at different colleges.
• Invited as Judge for Artificial Intelligence category in 6th National Level Technical Expo, GRAVITY2020 at KJ College if Engineering & Management, Pune.

AWS Certified Developer Associate

• Modified Fuzzy Min-Max Neural Network for Pattern Classification using MapReduce, Fifth Post Graduate Conference of Computer Engineering, cPGCON 2016, March 25, 2016
• Review on Pattern Classification and Clustering using Fuzzy Neural Networks, International Journal of Computer Applications, Vol. 136, No. 3, pp. 18-23, Feb. 2016, ISBN : 973-93-80891-19-3 · Feb 18, 2016
• "Machine Transliteration: A Hybrid approach for the Natural Language"
  , International Conference on Science and Technology, ICST2k14, Pune, ISBN-978_81_92867 3_3_5
• Modified Fuzzy Min-Max Neural Network for Pattern Classification, International conference on Internet of Things, Next Generation Networks and Cloud Computing, ICINC 2016, Smt. Kashibai Navale College of Engineering, Pune