# Abhishek Rapelli

> Senior Software Engineer at Oracle

Location: United States, United States
Profile: https://flows.cv/abhishekrapelli

Software developer with experience working on cutting edge technologies in Cloud computing and Machine Learning. With an excellent and a rare blend of experience in both software development and machine learning, can easily shuttle between ML engineering and pure software development.

Programming languages:   Java, Python, Typescript, R, C++ and JavaScript.
Databases/Storage:            MySQL, Postgres, DynamoDB, Redshift, S3, NoSQL, Athena
ML/DL tools:                        Numpy, Pandas, Scikit-learn, Tensarflow, PyTorch, Keras
Cloud platforms:                 AWS cloud.

## Work Experience
### Senior Software Engineer @ Oracle
Jan 2024 – Present | United States

### Senior Software Engineer @ LeanTaaS
Jan 2020 – Jan 2024 | Santa Clara County, California, United States
Backend development in AWS server-less architecture for iQueue Beds, an AI powered hospital beds optimization product.

Technologies:
Python/Java (Backend), Typescript (Frontend), GraphQL API (graphene), 
SQLAlchemy, OAuth2.0 (JWT), Rest API, Micro-service architecture, 
AWS Cloud (Lambda, SNS, RDS, CW, CFN, SQS, Kinesis, AppConfig, KMS, etc.), 
Airflow, Angular, Postgres DB, OpenAPI and Docker.

### Software Development Engineer @ Amazon Web Services (AWS)
Jan 2019 – Jan 2020 | Seattle, Washington, United States
Full stack developer for AWS Investments, a high growth product that is used to offer $3.5 billion credits to AWS users for engagement.

Technologies:
- Native AWS: Lambda, CloudWatch, CloudFormation, SQS, SNS, S3, DynamoDB, SDC, Athena and Elastic Search
- TypeScript
- JavaScript
- Python
- Ruby
- ReactJS
- Redux
- CSS
- Jest Unit testing
- Jinja cloud formation templating
- GIT

### Machine Learning Intern @ Next Education India Pvt Ltd
Jan 2018 – Jan 2018
Developed a maximum entropy classifier model powered micro-service to detect and correct prepositions and determiners for a grammar tool, by training on Cambridge corpus of 1 million paragraphs. Deployed powerful Stanford coreNLP package for natural language processing (sentence splitting, POS tagging, dependency parsing and named entity recognition), with an error rate as low as 2.7% and a prediction accuracy of 91%.

### Software Engineer @ uniPoint Software Inc.
Jan 2014 – Jan 2017 | Hyderabad Area, India


## Education
### Master's degree in Computer Science
Indiana University Bloomington
Jan 2017 – Jan 2019

### Bachelor of Technology (B.Tech.) in Electrical and Electronics Engineering
National Institute of Technology Warangal
Jan 2010 – Jan 2014

### SSC
English Union High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/arapelli
- GitHub: https://github.com/arapelli

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Source: https://flows.cv/abhishekrapelli
JSON Resume: https://flows.cv/abhishekrapelli/resume.json
Last updated: 2026-03-22