Surohit Tandon
Vancouver
Summary
Sophisticated Machine Learning Engineer with background in independent research and offering a wide skillset in the field of Artificial Intelligence and Software Development. Exceptional problem-solving abilities both in team-oriented and self-motivated settings. Life long learner.
Overview
6
6
years of professional experience
Work History
Machine Learning Engineer
JUDI.AI
11.2020 - Current
- Lead project re-design of categorization engine using basic NLP techniques, including regular expression searches, to classify transaction descriptions into 1 of 60 categories using pythons data science and web development library stacks
- Built word embedding system (word2vec) into categorization engine in order to utilize a semantic map for speeding upstream categorization tasks using PyTorch
- Researched and designed credit risk models using supervised learning techniques. Achieved over 40% increase in select model performance metrics over traditional loan underwriting.
- Built model reason code system for credit model auditing for regulatory and client purposes
- Code owner and maintainer for primary microservice built to serve ML and Categorization needs for product
- Collaborated across teams to schedule and meet targets, OKRs and sprint deadlines
Machine Learning Engineer
Keela
06.2019 - 11.2020
- Developed a deep learning model based on an LSTM architecture for a multi-time step input designed for a binary classification task. Optimized to model accuracy and recall to ~90% and ~50% respectively using TensorFlow's Keras API in Python
- Built ETL pipelines for multiple machine learning products in Python. Gathered data from various sources (non-relational databases and APIs). Wrote E2E tests as well as unit tests for all stages of the pipeline.
- Utilized unsupervised learning techniques using Scikit-Learn to provide automated and segmented insight into user data.
- Developed, deployed and actively maintained a data enrichment tool using Flask, Docker and Google Cloud Run
Education
Bachelor of Applied Science - Mining Engineering
University of British Columbia
Vancouver, BC05.2019
Continuing Studies
University of British Columbia
Vancouver, BCNanodegree - Deep Reinforcement Learning
Udacity
10.2020
Nanodegree - Deep Learning
Udacity
03.2020
Nanodegree - Data Science
Udacity
05.2019
Skills
- Python
- Web Frameworks (Django, Flask and FastAPI)
- Deep Learning Frameworks (PyTorch, Tensorflow/Keras)
- NoSQL and SQL(MongoDB/PostgreSQL)
- Docker
- Experience with GCloud/Azure Services
- NeoVim fan!
Affiliations
Meraloma Rugby Club - Player (2015-Present)
Languages
English
Native or Bilingual
Hindi
Limited Working
Interests
- Rugby
- Tennis
- Tech
- Hiking
- My dog!
Timeline
Machine Learning Engineer
JUDI.AI
11.2020 - Current
Machine Learning Engineer
Keela
06.2019 - 11.2020
Bachelor of Applied Science - Mining Engineering
University of British Columbia
Continuing Studies
University of British Columbia
Nanodegree - Deep Reinforcement Learning
Udacity
Nanodegree - Deep Learning
Udacity
Nanodegree - Data Science
Udacity
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