Headline

Staff Machine Learning Engineer @ eBay | AI/ML in Rust and Python, Data Loss Prevention, LLMs, Software development, recommendation systems

About

With over two years of experience in data science and machine learning, I design, develop, and deploy scalable and robust solutions for cloud security and performance at Zscaler, a leading cloud-based network security provider. In collaboration with the engineering and product teams, I use my full stack big data analytics skills to create and improve recommendation systems, anomaly detection models, and user behavior analysis tools, leveraging various data sources and technologies. I started my career at Zscaler as a Machine Learning Engineer, where I contributed to the development and optimization of AI/ML models and pipelines for the cloud platform. I then transitioned to the role of Associate Data Scientist, where I applied statistical analysis, data preparation, and data collection techniques to monitor and enhance the cloud quality and reliability. I hold a Bachelor of Engineering in Computer Science from CHANDIGARH UNIVERSITY, and multiple certifications from Jigsaw Academy and IBM, including the Big Data Engineer - Mastery Award 2018. I am passionate about solving complex problems using data and technology, and I strive to deliver innovative and impactful solutions for Zscaler and its customers.

Location

Bengaluru

AI stack

claude code

cursor

langfuse

langgraph

langsmith

mcp

Work experience

Member of Technical Staff at eBay, Nov 2025 - Present · 11 mos, Bengaluru, Karnataka, India

Staff Machine Learning Engineer at Zscaler, Dec 2024 - Dec 2025 · 1 yr 1 mo, Bengaluru, Karnataka, India

Sr. Machine Learning Engineer at Zscaler, Aug 2024 - May 2025 · 10 mos, Bengaluru, Karnataka, India, I'm an AI/ML Engineer and Data Scientist with 4 years of experience exploring the exciting world of machine learning and data science. My passion lies in building and optimizing large-scale machine learning models, focusing on distributed computing and memory optimization. I enjoy working with tools like TensorFlow, PyTorch, Python, SQL, and Kubernetes. Throughout my career, I've had the opportunity to work on various projects, from developing recommendation systems to enhancing network security solutions. Some highlights from my journey: Policy Recommendation System: I led the development of an AI-driven ZPA Policy Recommendation System. By utilizing sequential data analysis and community detection algorithms, we achieved 80% accuracy in top recommendations and significantly reduced computing costs through optimized memory management. ZDX Co-Pilot: I developed decision models for real-time network performance diagnostics. This work helped reduce latency and improved ISP incident detection, leading to faster root cause analysis for millions of users. Threat Detection System: I designed a machine learning-based C2 threat detection system that enhanced cybersecurity by reconstructing cyberattack kill chains, improving threat prediction accuracy. Data Augmentation Simulator: I created a machine learning simulator to address data scarcity and class imbalance issues, significantly improving our AI model's performance and testing capabilities. I'm passionate about using data to drive business insights and innovation. I'm always looking for new challenges that allow me to solve complex problems using cutting-edge technology. Feel free to connect or reach out if you'd like to chat about all things AI and machine learning!

Data Scientist at Zscaler, Apr 2023 - Oct 2024 · 1 yr 7 mos, Bengaluru, Karnataka, India

Teaching Assistant at Coding Ninjas India, Apr 2020 - Aug 2020 · 5 mos, New Delhi, Delhi, India, ▪ Mentored and assessed 8 students' progress throughout the course. ▪ Resolved Doubts of Data structures and Algorithms in C++. ▪ Debugged and Optimized programs, and provided alternate solutions.

Education

Bachelor of Engineering, Computer Science, CHANDIGARH UNIVERSITY

Public links

github: https://github.com/S-T-A-R-L-O-R-D

devesh.live: https://devesh.live/