Headline

Data Science | PhD in Engineering | Statistical Modelling | Predictive Analytics | LLM | Agentic AI

About

At Sandvine, my focus is on developing cutting-edge models for secure application classification in network traffic, particularly for TLSv1.3+ECH protocols using deep learning. This involves not only a deep technical understanding but also an innovative approach to problem-solving. My tenure at Rakuten honed my skills in predictive modeling and demand forecasting, where I contributed significantly to sales optimization. Collaborating with stakeholders, we empowered decision-making and enhanced forecasting accuracy, leveraging my expertise in artificial neural networks and programming.

Location

Bengaluru

AI stack

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Work experience

Engineering Manager, Machine Learning at Albertsons Companies India, Oct 2025 - Present · 1 yr, Bengaluru, Machine Learning | Data Science | Agentic AI

Lead Data scientist at Opella, Jan 2025 - Oct 2025 · 10 mos, Hyderabad, Telangana, India

Data Scientist at Sandvine, Nov 2023 - Jan 2025 · 1 yr 3 mos, Bengaluru, Karnataka, India, Leadership in Encrypted Network Traffic Classification Directed the development of advanced deep learning methodologies, achieving over 90% classification accuracy on SSL and QUIC traffic for more than 30 widely used applications, including Facebook and Instagram. Engineered a high-precision 1-Dimensional Convolutional Neural Network, attaining over 90% accuracy. Implemented saliency mapping techniques to identify key feature contributions, enhancing cross-functional team understanding. Innovative Anomaly and Trend Detection for model monitoring Led the design of an anomaly detection system using isolation forest techniques. Developed a method leveraging STL and linear regression for trend detection, Implmented, Jenson-shannon test, KS-test and DWT test for drift detection for model monitoring. Enhancing domain knowledge by analyzing content classification data to identify trends and anomalies over time.

Data Scientist at Rakuten, Jul 2021 - Nov 2023 · 2 yrs 5 mos, Tokyo, Japan, • Developed a Hierarchical Time Series Forecasting and Price Optimization Engine for R-travel, enhancing forecast accuracy and resource allocation. • Implemented a Binomial Regression Model to estimate room-level demand and booking probability, optimizing pricing strategies in real-time. • Led the Creation of a Comprehensive KPI Report, resulting in an 8% increase in occupancy rates through improved decision-making.

Software Engineer II at ZMP Inc., Mar 2019 - Jul 2021 · 2 yrs 5 mos, Tokyo, Japan, • Implemented object detection and tracking on a Jetson Nano embedded platform for a robot navigation system using deep learning techniques. • Utilized pre-trained models like YOLO and RetinaNet for object detection and OpenCV for image processing. • Developed a Japanese number plate detection model using transfer learning on TensorFlow for accurate identification.

System Software Developer at GEN Inc, Sep 2017 - Feb 2019 · 1 y 5 mo, Kitakyushu

Education

Doctor of Philosophy in Engineering, Systems Engineering, Kyushu Institute of Technology

Master of Technology (M.Tech.), Digital communication, RV College of Engineering