Personal details

Simmi M. - Remote

Simmi M.

Timezone: Eastern Time (US & Canada) (UTC-4)

Summary

I I have six years of Python experience and three years of research experience in solving complex Deep Learning problems.

Ground Rules:

  1. Payments will only be accepted via Codementor platform.
  2. I will refund the amount if you are not satisfied.
  3. max( myrate, yourrequestRate ) will be applicable.

Work Experience

Deep Learning Engineer
Predible Health | Aug 2017 - Present
Python
Machine Learning
Research
Neural Networks
Deep Learning
PyTorch
Medical imaging
Using Deep Learning and Cloud Computation to deliver radiology reporting on web browsers. Focus area: Developing data driven fully automated deep learning engines to detect Lung Cancer and other related diagnostic features from Computed Tomography scans.
Data Science intern
Pitney Bowes | Jan 2017 - Jun 2017
Python
Machine Learning
Data Mining
Deep Learning
Caffe
Keras
Worked on Deep learning systems for image segmentation. Used Deep learning for parsing clothing in fashion photographs. Technologies used: Caffe + Tensorflow

Personal Projects

Diagonal Sudoku Solver and Isolation solverIconOpenNewWindows
2017
Python
Game planning
Heuristic
AI (artificial intelligence)
Diagonal Sudoku Solver: Implemented two extensions of our sudoku solver. The first one to implement the technique called "naked twins". The second one to to solve a diagonal sudoku. Game playing agent for Isolation: Developd an adversarial search agent to play the game "Isolation". Isolation is a deterministic, two-player game of perfect information in which the players alternate turns moving a single piece from one cell to another on a board. Whenever either player occupies a cell, that cell becomes blocked for the remainder of the game. The first player with no remaining legal moves loses, and the opponent is declared the winner. These rules are implemented in the isolation.Board class provided in the repository.
HMM based Sign Language Recognition SystemIconOpenNewWindows
2017
Python
Pandas
Computer Vision
Speech Recognition
Data Science
Hmm
AI (artificial intelligence)
Built a system that can recognize words communicated using the American Sign Language (ASL). By using a dataset of tracked hand and nose positions extracted from videos, I trained a set of Hidden Markov Models (HMMs) to try and identify individual words from test sequences. Incorporate Statistical Language Models (SLMs) that capture the conditional probability of particular sequences of words occurring. This helped me to improve the recognition accuracy of the system.