Yogya Modi

Software Engineer

India4 yrs 4 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Experienced in developing neural networks for mobile applications.
  • Proficient in computer vision and deep learning techniques.
  • Strong background in synthetic dataset generation for autonomous vehicles.
Stackforce AI infers this person is a Deep Learning and Computer Vision specialist with experience in Automotive and Mobile Technology.

Contact

Skills

Core Skills

Computer VisionDeep Learning

Other Skills

Synthetic Dataset GenerationProbabilistic Object DetectionKerasTensorflow LiteLSTMData AnalysisC++Python (Programming Language)Natural Language Processing (NLP)

Experience

4 yrs 4 mos
Total Experience
2 yrs 2 mos
Average Tenure
3 yrs 10 mos
Current Experience

Microsoft

Software Engineer

Aug 2022Present · 3 yrs 10 mos

Nevs

Computer Vision Thesis Worker

Jan 2022Jul 2022 · 6 mos · Trollhättan, Vastra Gotaland County, Sweden

  • Simulated extreme scenarios to generate synthetic dataset with annotations for improving object detection in Autonomous Vehicles using the CARLA simulator (based on Unreal Engine).
  • Set up pipeline to evaluate uncertainty of object detector predictions using Probabilistic Object Detection.
  • Evaluated impact of factors that affect prediction uncertainty like change in weather/lighting conditions.
Computer VisionSynthetic Dataset GenerationProbabilistic Object Detection

Samsung india

Research And Development Intern

May 2021Jul 2021 · 2 mos · Bengaluru, Karnataka, India

  • Designed neural networks using CNN and LSTM layers in Keras for enabling On-Device classification of text messages to provide smart action/reply buttons to smartphone users.
  • Deployed the same for Samsung’s flagship phones using Tensorflow Lite to achieve low latency and reduction in resource consumption by 86%.
Deep LearningKerasTensorflow Lite

Scovelo consulting (b2b digital marketing agency | sales consulting)

Deep Learning Intern

May 2020Jun 2020 · 1 mo · Chennai, Tamil Nadu, India

  • Developed and designed a neural network using LSTMs trained on Amazon Reviews Dataset (300,000 reviews) that predicts customer rating (1-5) of unlabelled product reviews at 79% accuracy.
  • Deployed the model to predict customer ratings on unlabelled reviews scraped from sites like Product Hunt to provide insights on current market sentiment of products chosen by user.
Deep LearningLSTMData Analysis

The akshaya patra foundation

Summer Intern

Jul 2019Jul 2019 · 0 mo · Jaipur, Rajasthan, India

  • Selected among top 40 candidates across India from multiple IITs, NITs and BITS
  • Improvement of android-based application for in-house data collection streamlining.

Education

Birla Institute of Technology and Science, Pilani

Bachelor of Engineering - BE — Computer Science

Jan 2018Jan 2022

Chennai Public School - India

Central Board of Secondary Education

Jan 2014Jan 2018

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