Aryan Mehra
Mumbai
Summary
I work as an Analytics Engineer at Netflix, and have obtained my Master's in Computer Science from Carnegie Mellon. I have extensive experience at Netflix, Salesforce and American Express, along with 8+ publications in relevant areas. I possess an avid interest and experience in applied Applied Machine Learning, Cloud Computing, Distributed Systems, Computer Vision, Data Analysis, NLP, and Data Science. I have demonstrated skills in programming, problem-solving and design-based innovative solutions. Prior to my Masters, I have completed my Bachelors in Engineering (B.E. Hons) in Computer Science, from BITS Pilani. On the personal front - I love to travel. Have been to 20 countries, 50 international cities, and 5 continents! Seen both ends of the world - literally.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Analytics Engineer
American Express, Global Commercial Services
06.2021 - Current
- Machine Learning Department
Software Engineer Intern - AI/ML
American Express
01.2021 - 06.2021
- I worked with the AI/ML Research Team to create an end-to-end interactive data exploration and navigation framework
- The product had the capability to encompass a mammoth version of the company's current data pipeline
- Some of the properties of the framework include - feature selection, extraction, and clustering, correlation analysis, statistical hypothesis testing, feature statistics, regression baselines, and XGBoost modeling - all under the same umbrella of a single product
- The generated report serves as a baseline for ML modelers to build better models.
Software Engineering Intern, AI Operations
Salesforce
05.2020 - 08.2020
- Worked on building a Root Cause Analysis (RCA) Engine that can triage issues and classify server errors by embedding knowledge into automated stackstorm workflows
- The engine utilizes the time series anomalies of server characteristics from splunk, correlation analysis, and Neural Network-based error predictions
- I also built a clustering algorithm for stack traces by conceptualizing a new 'func2vec' (function to vector embedding) algorithm and used stack-trace embeddings to visually classify stack traces in tensorboard projections.
Undergraduate Teaching Assistant
Birla Institute of Technology and Science, Pilani
08.2018 - 05.2020
- CS F212 Database Systems
- CS F101 Computer Programming
- CS F213 Object Oriented Programming
Guest Scientist / Visiting Researcher
TU Braunschweig
10.2019 - 12.2019
- Collaborated with an interdisciplinary team, on a physical as well as a virtual basis over 3 months to work on Industry 4.0 problems for the Indo-German Challenge for sustainable production
- I was a part of the visualization team, responsible to use augmented reality-based tools to monitor production lines in a unity-based app
- The project was funded by Stifterverband.
Research Intern
Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO)
05.2019 - 07.2019
- Worked on a project that aims at Land Use classification using microwave satellite images around the Bharatpur Sanctuary region to better identify agricultural lands and water bodies
- This was one of the world's first works on deep learning-based classification of temporal SAR satellite data frames - on a self curated dataset.
Education
Bachelor of Engineering - BE - Computer Science
Birla Institute of Technology and Science, Pilani
01.2021
GRADE 12 - Non medical science
Montfort School, Delhi
01.2017
Skills
- C
- Python
- MATLAB
- GNU Octave
- Machine Learning
- Computer Vision
Certification
- Neural Networks and Deep Learning
- Machine Learning (Stanford)
- Convolutional Neural Networks
- Structuring Machine Learning
Locations
Mumbai, India
Awards
- Excellence in Studies | School Board
- Topper
- 1st position, Quiz, Aerolympics 2015
- Dean's List | Merit Scholarship | BITS Pilani
- Letter from MHRD, Government of India
- QS World Merit Academic Excellence Scholarship
Publications
- ReViewNet: A Fast and Resource Optimized Network for Enabling Safe Autonomous Driving in Hazy Weather Conditions
- An Exploration of Philosophical Ideas of Select Thinkers in Artificial Intelligence
- TheiaNet: Towards fast and inexpensive CNN design choices for image dehazing
- NTIRE 2020 Challenge on NonHomogeneous Dehazing
- Smart water conservation through a machine learning and blockchain
Projects
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Timeline
Analytics Engineer
American Express, Global Commercial Services
06.2021 - Current
Software Engineer Intern - AI/ML
American Express
01.2021 - 06.2021
Software Engineering Intern, AI Operations
Salesforce
05.2020 - 08.2020
Guest Scientist / Visiting Researcher
TU Braunschweig
10.2019 - 12.2019
Research Intern
Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO)
05.2019 - 07.2019
Undergraduate Teaching Assistant
Birla Institute of Technology and Science, Pilani
08.2018 - 05.2020
Bachelor of Engineering - BE - Computer Science
Birla Institute of Technology and Science, Pilani
GRADE 12 - Non medical science
Montfort School, Delhi
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