Aditya Govil
SWE @ Augmedix, ex-AWS, NCSU'20
Aditya Govil is a highly skilled Data Engineer with a passion for AI and a proven track record of success. With over 3 years of relevant experience, Aditya has honed his skills in data engineering, AI, data science, research science, SQL, software engineering, and data warehousing. Curre
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3.8
Years of Experience
Education
north carolina state university, ggsipu
Companies
augmedix, amazon, cognistx, north carolina state university, honda aircraft company, fulcrum biometrics inc., cadence design systems
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Experience
2023 - Present
augmedix
Software Engineer
Working on developing Backend and Cloud Infrastructure for Healthcare solutions based on Machine Learning and Large Language Models.
2022 - 2023
amazon
Software Development Engineer
• Designed Distributed System, developed REST APIs & rolled out Probability-based throttling feature which solved 90% of over throttling issues with the customers. • Setup end-to-end VPCE service for new regions in Kinesis using Java, Python, AWS CloudFormation, LB & EC2 to provide more secure way for users to call Kinesis service. • Leaded onboarding of Kinesis fleet with 30,000+ hosts to Managed Fleet service which reduced 20% of SEV2 tickets per week related to host maintenance. • Migrated service from long term credentials (Odin MS) to short term rotating credentials (Turtle) to improve security of the Kinesis services. • Ensuring System reliability by mitigating issues (50+ weekly SEV2; 100+ pages) during 24/7 on-call shifts, to ensure customer retention. • Mentored new joiners in team to reduce strain on senior engineers.
2020 - 2022
cognistx
Software Engineer
• Worked on developing backed for an NLP-based application using Java, Spring, MongoDB, AWS CloudFront & Cognito service to generate annotation results for provided documents using Machine Learning model. • Developed an end-to-end cloud solution using Python, AWS S3, EC2 & RDS to process real-time sensor data. • Developed Python & Spark-based data pipeline in Azure Databricks platform to filter out regression data.
2020 - 2020
north carolina state university
Research Analyst
• Contributed to Expertiza (open-source project) by extending the functionality in Ruby on Rails – helped to implement the functionality of making a review public. • Analyzed MVC architecture of the code and identified suboptimized & dead code. • Refactored codebase to reduce cognitive, cyclomatic, ABC & Lines of Code complexities.
2019 - 2019
honda aircraft company
Data Science Intern
• Collaborated with Engineering team for understanding Aircraft Engine Data and discovering insights from it. • Created an ETL pipeline using Python, SQL & Microsoft Azure services and reduced the processing time by 50%. • Performed feature engineering using R & Python and narrowed down data to multivariate time series data. • Developed Deep Learning Models (LSTM) and Statistical Models (ARIMA) for processed aircraft engine data for predictive component failure and predicted accurately with RMSE value of less than 0.1. • Visualized the processed and predicted engine data using Microsoft Excel and Visual Basic.
2017 - 2017
fulcrum biometrics inc.
Software Engineering Intern
• Tested the biometric solution software (FbF) for any bugs using Selenium and Manual testing. • Implemented a new function in .Net to eliminate partial input bug in the FbF application. • Used Git as version control software and documented each phase over there using project board.
2016 - 2016
cadence design systems
Software Engineer Intern
• Worked in the AVS-IES team within Research and Development department. • Created a Python software to compare simulation data from Incisive Enterprise Simulator for different microchip test cases . • Created bash script to identify anomalous test cases and modified them accordingly. • All code was reviewed, deployed, and currently being used by engineers of AVS-IES team for analysis.
Experience
51 Skills
Algorithm Analysis
Amazon Relational Database Service (RDS)
Amazon S3
Amazon Web Services (AWS)
Apache Spark
Application Programming Interfaces (API)
AWS CloudFormation
AWS Lambda
Azure
Azure Databricks
Backend
C
C++
Cascading Style Sheets (CSS)
CSS
Customer Retention
Databricks
DevOps
Distributed Systems
Docker
Healthcare
HTML5
infra
Infrastructure
Java
JavaScript
jquery
Kubernetes
language models
Large language models (LLM)
Linux
Machine Learning (ML)
Management
Microsoft Azure
Microsoft Office
Microsoft Word
MongoDB
Natural Language Processing (NLP)
PowerPoint
Project Management
Public Speaking
Python
Python
Python (Programming Language)
Representational State Transfer (REST)
REST
REST APIs
security
Software Engineer
Spring
Web Development
Education
2018 - 2020
north carolina state university
Master's degree
Computer Science
2014 - 2018
ggsipu
Engineer’s Degree
Computer Science
