Rajas Chavadekar

AI Researcher

Pune, Maharashtra, India5 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in Generative AI and Cybersecurity solutions.
Proven track record in developing scalable MLOps pipelines.
Strong background in Windows kernel programming and automation.

Stackforce AI infers this person is a Cybersecurity and AI specialist with a focus on scalable solutions.

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Skills

Core Skills

Machine LearningCybersecurityData ScienceSoftware Development

Other Skills

Agile MethodologiesAlgorithm DesignAmazon Web Services (AWS)Apache SparkArduinoArtificial IntelligenceAutomationBashC (Programming Language)C++Computer VisionCryptographyData AnalysisDeep LearningEthical Hacking

About

With a deep-rooted passion for leveraging AI to solve real-world challenges, I am a Senior Data Scientist at Quick Heal, driving innovation at the intersection of Generative AI, Big Data, and Cybersecurity. Over the last 4+ years, I have architected and deployed end-to-end AI/ML solutions, including SIA (Seqrite Intelligent Assistant) a GenAI-powered LLM analyst for XDR, deep learning models for threat detection, and scalable MLOps pipelines on AWS and Apache Spark. My work has directly contributed to enhancing incident response times and strengthening enterprise protection for Quick Heal clients. Previously, as a Software Developer in the Web Security Team, I specialized in Windows kernel driver development, IDS/IPS, and advanced protection features for both retail and enterprise cybersecurity products. I thrive on tackling complex customer escalations and researching novel security architectures. I am also an active researcher, with my copyright in 'RVCvault – A Multi-Level File Encryption System' for secure cold data storage. I am always eager to connect with fellow professionals, researchers, and organizations interested in pushing the boundaries of AI, cybersecurity, and data science. Let’s connect and drive meaningful impact together!

Experience

Quick heal

5 roles

Senior Data Scientist

Promoted

Oct 2023 – Present · 2 yrs 5 mos

+ Released Seqrite Intelligent Assistant, for Incident Responders, This is intended to provide a chat based interface for alerts or incidents data of Seqrite Enterprise products.
+ This includes query generation, execution, auto checking of key attributes for 3rd party reputation and summarization or insights of fetched results.
+ Implemented Ransom Note and Ransomware Encrypted Filename Detection from scratch in C++
+ Malware Clustering MLOps Pipeline, local Spark cluster creation

CybersecurityMachine LearningGenerative AIMathematical ModelingAmazon Web Services (AWS)C+++7

Data Scientist 2

Jul 2023 – Nov 2023 · 4 mos

+ Worked on URL Categorization project using Deep Learning
+ Setting up MLOps pipeline for existing models
+ Tenant data analysis

ResearchMachine LearningMicrosoft ExcelUnix / GNU LinuxGenerative AIMathematical Modeling+11

Software Engineer 2 (Development)

Jun 2022 – Jun 2023 · 1 yr

+ Single handedly developed the feature of Google/Office365 Account Access Controller, YouTube Access Controller for Seqrite Enterprise products written in JavaScript and C++, involving Architecture and System Design, and guide the release process of the said features.
+ IPV6 Network support Feature Enhancements in all Web Security Components and their Release
+ Migrated code from SVN to BitBucket git
+ Designed and Developed feature of Port IP Whitelisting for IDS feature of Seqrite Endpoint Security that involved modifications in network driver
+ Research on new DDOS and PortScan attacks
+ Resolution of major hot customer escalations in turn around time < 2 days.
+ Automation, optimization and estimate reduction

C (Programming Language)ResearchCybersecurityAutomationMicrosoft ExcelAlgorithm Design+13

Software Development Engineer 1

Aug 2021 – Jun 2022 · 10 mos

Work in Web Security Component:
+ IDS-IPS, Browsing Protection, Anti Phishing, Parental Control Features' Enhancements and Development.
+ Ownership demonstration in IDS-IPS user and kernel mode.
+ Research and Presentation on open source NIDS like Suricata, including its performance benchmarking on Red Network, Performance Profiling, Attempt for integration into Web Security Engine
+ Resolution of Customer reported issues, Implemented requirements from Detection Team, EDR Backend Team and Retail Team
+ Automation and Estimate reduction

C (Programming Language)ResearchCybersecurityAutomationMicrosoft ExcelAlgorithm Design+11

Research And Development Intern

Jul 2020 – Jul 2021 · 1 yr

+ Trained in Windows Kernel Mode C++ programming
+ Trained on BDS (Behaviour Detection Service) filesystem minifilter drivers
+ Created Production level Jenkins CI/CD Pipeline for EDR Components
+ Researched content for Secure C++ & SDLC courses under Cyber Awareness CSR Project in Quick Heal Foundation

C (Programming Language)ResearchCybersecurityAutomationMicrosoft ExcelAgile Methodologies+8