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Software Engineer at Millennium
Experienced Machine Learning Engineer with a demonstrated history of working in the computer networking industry. Skilled in Management, Electrical Engineering, Public Speaking, and Software Development. Strong engineering professional with a Master's degree focused in Electrical Engineering with a focus on artificial intelligence from University of Southern California. I'm a Machine Learning Engineer working on stimulating problems with the freedom to experiment with new ideas and approaches. Technologies: Python, C/C++, Pandas, Numpy, Scikit-learn, Matplotlib, Keras, Tensorflow, AWS, GCP, OpenCV, Git Skills (AI/Machine Learning): Deep Neural Networks, Naive Bayesian Classifiers, Information Retrieval, Image Processing, Convolutional Neural Networks, Time Series Data Analysis Social causes: Environmental sustainability, Upliftment of the underprivileged
University of Southern California
Master's degree, Electrical Engineering
January 1, 2017 – January 1, 2019
Indira Gandhi Delhi Technical University for Women
Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering
January 1, 2013 – January 1, 2017
Millennium
Software Engineer - AI/ML
January 1, 2023 – Present
New York, United States · On-site
Juniper Networks
Software Engineer 3, Machine Learning
January 1, 2022 – January 1, 2023
Juniper Networks
Software Engineer 2, Machine Learning
January 1, 2021 – January 1, 2022
Pex
Machine Learning Engineering intern
January 1, 2019 – May 1, 2019
Los Angeles, California
Syntiant Corp.
Member of Technical Staff- Machine Learning
January 1, 2019 – January 1, 2021
Orange County, California, United States
University of Southern California
Student technical assistant
August 1, 2018 – December 1, 2018
University of Southern California
Graduate Student
August 1, 2017 – May 1, 2019
National Instruments India
Intern
December 1, 2015 – March 1, 2016
Greater Delhi Area
Indian Institute of Technology, Delhi
Research Intern
January 1, 2015 – March 1, 2017
New Delhi Area, India
Bank Customer Prediction Analysis model
March 1, 2018 – May 1, 2018
Used publicly available Bank marketing dataset from UCI to predict whether bank customers would be willing to subscribe to a long-term deposit. Used algorithms like Multi-Layer Perceptron (MLP), Support Vactor Machines (SVM), Naive Bayesian classifiers, K-Nearest Neighbours (KNN), etc to find best performance metrics. Synthetic minority oversampling Technique(SMOTE), Principal component analysis (PCA), etc.
Image manipulation backend software development
January 1, 2018 – May 1, 2018
-Implementation of different architectures of Convolutional Neural Network (CNN) using keras -Image Warping, Homography, Edge and feature detection, Morphological processing, Image warping, Digital Halftoning, Bilinear Interpolation to resize images, Histogram modification for contrast manipulation, Image denoising and image filtering for different effects, without the use of external image processing libraries.
Project Khidmat
October 1, 2015 – Present
Khidmat is a Social Entrepreneurship Project which aims at empowering women who belong to the underprivileged and financially weak strata of the society. We have devised a business model which enables these women to earn, by cooking food for people living away from their homes.
ABU Robocon 2014
August 1, 2013 – March 1, 2014
- We were a team of 22 girls who attempted to build a manual and an autonomous robot in accordance with the theme of the year- A Salute to Parenthood - We used techniques of pneumatics and wired remote connection in the manual robot. - The idea was to develop the basic understanding about robotics and gain some experience by participating in a National level contest.
Sequence Models
Coursera
June 28, 2026 – Present
Sequences, Time Series and Prediction
Coursera
June 28, 2026 – Present
Machine Learning
Coursera Course Certificates
June 28, 2026 – Present
Cultural Fit Analysis
The candidate's project history shows a blend of academic, industry, and personal projects, including a social entrepreneurship initiative and participation in a robotics competition. This diversity suggests an adaptable individual with varied interests. The professional experience is heavily skewed towards AI/ML engineering roles, which aligns with a data-driven culture. However, the target role is 'Data Analyst', which is a slight pivot from their core ML Engineering experience. While there's overlap in data analysis skills, the depth of pure analytical work (e.g., business intelligence, reporting, advanced SQL for analytics) is not explicitly detailed. The candidate's background suggests a strong technical contributor, which would fit well in a technically driven environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a willingness to tackle complex technical challenges. Experience in delivering training suggests good communication and mentorship potential. The social entrepreneurship project indicates a degree of initiative and social awareness. However, without specific psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.