ML Engineer

Summary

I am an MS CS student specializing in the track of Data Analytics and also focusing on parallel computations programming. I have taken the Adv NLP, Machine Learning, Artificial Intelligence and Big Data Analytics along with Parallel Computations and GPU Programming courses. I had the chance to work on interesting projects in Data Analytics while doing my Adv NLP, AI, ML courses. Prior to my masters, I worked as a software engineer in ML for 3 years. At Wipro, I designed and developed ML applications as an individual contributor whilst communicating with all the domain team leaders(mentioned in the resume). At Multicoreware, I worked in a highly collaborative environment of developers and teams on building Deep neural network parsers for a customer Digital Signal Processor (DSP) in C++. I predominantly worked on developing efficient parser framework for Tensorflow, ONNX, Caffe, TensorflowLite on the latest computer vision and NLP state-of-the-art models like Vision Transformers, Siamese networks, Transformer-based language models, PoseNet, HRNet and DeepPose amongst various others.

Expectations

I look forward to work with a company that challenges my abilities, has a great learning curve and an environment for interaction and growth among colleagues. An ideal role is where I get to work with cross functional teams with core and business competencies.

Employment Preferences

Expected Base Salary

**0,000 USD

Academic Degree

Experience

Skills

• C++
• C
• Java
• Python
• AI
• ML
• AWS
• GCP
• Computer Vision
• NLP
• Transformers
• Docker
• Git