# Aditya Govil > Senior SWE @ Augmedix | ex-AWS | GCP Certified, AI/ML, Backend, Distributed Systems Location: United States, United States Profile: https://flows.cv/adityagovil Resume Link - https://rb.gy/j4mz4 As a software engineer, I have extensive experience working with Python and Java to develop and maintain distributed systems. I specialize in building scalable, high-performance applications on AWS & GCP. My skills include designing and implementing fault-tolerant systems, optimizing database performance, and working with DevOps tools such as Docker and Kubernetes. I am committed to delivering high-quality code that meets business requirements and exceeds user expectations. ## Work Experience ### Senior Software Engineer @ Augmedix Jan 2023 – Present | San Francisco Bay Area • Led the backend development of a new product utilizing microservices architecture to generate smart notes for healthcare professionals based on patient-doctor conversations. Technologies: Python, Docker, Jenkins, GCP services, and Gemini LLM. • Engineered a distributed locking mechanism using Redis to prevent race condition in a note due to concurrent microservice executions. • Improved on reliability, observability and alerting of all the microservices by enhancing code, logging and cloud policies. • Developed a Vector Search microservice to enhance keyword matching capabilities. Tech: Python, Flask and ML Encoder model. • Benchmarked, identified and resolved performance bottlenecks within an microservice, resulting in a 25% reduction in runtime. • Contributed to DevOps migration of old infrastructure from AWS to GCP, ensuring zero downtime for all services. ### Software Development Engineer @ Amazon Web Services (AWS) Jan 2022 – Jan 2023 | Seattle, Washington, United States • 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. ### Software Engineer @ Cognistx Jan 2020 – Jan 2022 | Pittsburgh, Pennsylvania, United States • 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. ### Research Analyst @ North Carolina State University Jan 2020 – Jan 2020 | Raleigh, North Carolina, United States • 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. ### Data Scientist @ Honda Aircraft Company Jan 2019 – Jan 2019 | Greensboro/Winston-Salem, North Carolina Area • 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. ### Software Engineer @ Fulcrum Biometrics, LLC Jan 2017 – Jan 2017 | Gurgaon, India • 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. ### Software Engineer @ Cadence Design Systems Jan 2016 – Jan 2016 | Noida Area, India • 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. ## Education ### Master's degree in Computer Science North Carolina State University ### Engineer’s Degree in Computer Science Guru Gobind Singh Indraprastha University ## Contact & Social - LinkedIn: https://linkedin.com/in/aditya-govil-ab84334b --- Source: https://flows.cv/adityagovil JSON Resume: https://flows.cv/adityagovil/resume.json Last updated: 2026-04-01