# Anusha Bharat

> Software Engineer at Forage

Location: San Jose, California, United States
Profile: https://flows.cv/anushabharat

I am a software engineer with 2 years of experience in the field of Machine Learning and Distributed Systems.

I am currently working as a software engineer at Ikigai Labs where I work on building and maintaining scalable models along with preprocessing and other data features. 
Technologies used: Python, PyTorch, Tensor Flow, ONNX, Postgressql, Docker, Kubernetes

 I have previous software engineering experience at SAP America and HCL Technologies. I also have startup experience at DWAIL Pvt Ltd.

I am looking for opportunities in the field of Distributed Systems and Machine Learning


Looking to connect with people with similar interests

## Work Experience
### Software Engineer @ Forage
Jan 2022 – Present

### Software Engineer @ Ikigai Labs, Inc
Jan 2021 – Jan 2022 | Cambridge, Massachusetts, United States
• Created APIs and infrastructure to enable machine learning model persistence, serving, versioning  and customization.
• Designed a feature that allows users to create a model and reconcile two data tables that do not have an identifying primary key
• Designed no code facet blocks for preprocessing and data operations
• Set up a unit testing framework for the system

### Software Engineer @ SAP
Jan 2020 – Jan 2020 | Dallas, Texas, United States
• Built a cloud data management solution on SAP Cloud Platform which used CRUD operations and supported upload features using Node JS.
• Designed APIs for image enhancement features which extracted relevant information from the images using Python.
• Designed a rich User Interface by incorporating the backend oData services using SAP UI5.
• Debugged code using SAP ABAP which needed to be transferred to the cloud services.

### Software Engineer Intern @ DWAIL PRIVATE LIMITED
Jan 2018 – Jan 2018 | Bengaluru Area, India
Designed a classifier to classify sports data obtained using wearable devices which had an accelerometer, magnetometer and gyroscope attached. The aim was to classify cricket shots based on the type of shot and the region of the field the ball might go. Used the Deep Neural Networks (DNN) classifier for multi class classification  and implemented the system on python.

### Summer Intern @ HCL Technologies
Jan 2017 – Jan 2017 | Noida Area, India
Developed a centralized mobile phone detector using Arduino Duemilanove (ATmega328) which detected the RF signals from the mobile phone during incoming and outgoing calls, SMS and video transmission. On detecting a signal,  a buzzer was sounded and a message was displayed on an LCD screen


## Education
### Master of Science - MS in Computer Engineering
Texas A&M University

### Bachelor of Engineering in Telecommunications Engineering
Ramaiah Institute Of Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/anusha-bharat

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Source: https://flows.cv/anushabharat
JSON Resume: https://flows.cv/anushabharat/resume.json
Last updated: 2026-04-10