Senior Software Engineer
2019 - PRESENTAssurance IQ- Enhanced the dialing capability at Assurance by creating an audio fingerprinting algorithm, which resulted in detecting a unique human voice with 94% accuracy.
- Created a scalable phone number management service with AWS lambda, which smartly provisioned phone numbers to improve our call pickup rates. This boosted our pickup rate from 3.5% to 12%.
- Delivered end to end call routing logic to create a special telephony workflow for medicare customers, increasing our policy sales by an average of $80,000/month.
Technologies: Looker, Tableau, AWS Push Notification Service (AWS SNS), Amazon SQS, AWS DynamoDB, AWS S3, Python 3, PyCharm, Python, React, Amazon Web Services (AWS), AWS, Flask, HTML, CSS, AWS Lambda, Amazon API Gateway, Full-stack, APIs, Serverless, Architecture, Back-end, Redux, TypeScript, SQL, PostgreSQL, Serverless Architecture, Material-UI, UI, NoSQL, Microservices, Web UI, Databases, UI Development, RDBMS, RESTful Development, RESTful APIs, CSS3, HTML5, Front-end, Integration, Atlassian Jira, Atlassian, Python API, Software, Software Development, REST APIs, Mac OS, Linux, Java 8, JSON Web Tokens (JWT), Requirements, Node.js, A/B TestingSoftware Development Consultant
2021 - 2021Moka- Automated Moka's cash transfer process to facilitate weekly deposits/withdrawals. For every run, the workflow processed around 100,000 transactions amounting to $3 million. Used AWS CloudWatch for the trigger and processed transactions with AWS ECS.
- Created an admin dashboard for Moka's financial ops team to track the state of transfers in real time. The dashboard was built in HTML5 with jQuery. The real-time updates were processed over web sockets. The state was persisted in Redis.
- Solved duplicate/missing deposits problem at Moka by making transactions idempotent which allowed skipping duplicates and replaying missing events. Used Redis as the persistence layer for the idempotency key.
Technologies: Node.js, MongoDB, AWS, AWS S3, AWS ECS, AWS Lambda, AWS Push Notification Service (AWS SNS), Amazon SQS, Redis, AWS CloudWatch, Software, Software Development, Fintech, REST APIs, JavaScript, Mac OS, Linux, RequirementsSDE II
2015 - 2019Amazon LLC- Created a reliable and flexible picking algorithm for Amazon's third-party vendor warehouses. It helped associates pick items with high accuracy and minimal collisions. Compared to the manual picking process, it lifted associate efficiency by 20%.
- Developed an efficient inbound platform for Amazon's print on demand business, which helped onboard thousands of sellers worldwide in its first week of launch.
- Implemented a driver transparency project that focused on evaluating deliveries, offering insights, and incentivizing top performers at Amazon's last-mile technology division. This resulted in reducing the delivery defects by 60%.
Technologies: Amazon Web Services (AWS), AWS Amplify, AWS S3, AWS DynamoDB, AWS Push Notification Service (AWS SNS), AWS Step Functions, AWS, React, IDEA IDE, Java 8, HTML, CSS, AWS Lambda, Amazon API Gateway, Full-stack, APIs, Serverless, Architecture, Back-end, Redux, TypeScript, SQL, MySQL, PostgreSQL, Serverless Architecture, Material-UI, UI, NoSQL, Microservices, Web UI, jQuery, Databases, UI Development, Spring, eCommerce, RDBMS, RESTful Development, RESTful APIs, CSS3, HTML5, Front-end, Amazon Athena, Integration, Software, Software Development, REST APIs, Mac OS, Linux, Requirements, A/B TestingSenior System Engineer
2010 - 2013Infosys Ltd- Schematized the Java Drools rule engine for constructing logic to help bucketize the corporate customers. With the rule engine in place, we able to detect the customer type in less than a second. (Westpac Bank).
- Created automated alarms around certain key metrics for the bank to ensure 100% uptime. Coordinated with onshore/offshore teams to improve accountability and ownership.
- Automated their shipping platform to asynchronously communicate with the inventory platform. This helped reduce the manual workaround resolving physical/virtual inventory mismatch. (Gap Inc).
Technologies: IBM WebSphere, Oracle, JavaScript, Java, HTML, CSS, Full-stack, APIs, SQL, MySQL, UI, Web UI, jQuery, Databases, UI Development, Front-end, Software, Software Development, REST APIs, Linux, Requirements
Kushagra Sharma
AWS Developer in Toronto, ON, Canada
Member since September 21, 2020
Kushagra is a result-oriented software engineer with over eight years of experience writing scalable solutions to solve real-world problems. He's strong in systems design with a keen focus on building reusable artifacts. Kushagra works best in fast-paced environments and has a solid reputation for delivering projects with high accuracy.
Kushagra is now available for hire
Portfolio
- Assurance IQLooker, Tableau, AWS Push Notification Service (AWS SNS), Amazon SQS...
- MokaNode.js, MongoDB, AWS, AWS S3, AWS ECS, AWS Lambda...
- Amazon LLCAmazon Web Services (AWS), AWS Amplify, AWS S3, AWS DynamoDB...
Experience
- Java 8 8 years
- Amazon Web Services (AWS) 6 years
- AWS DynamoDB 6 years
- AWS S3 6 years
- React 6 years
- AWS 6 years
- Python 4 years
- Flask 3 years
Availability
Part-time
Preferred Environment
Looker, Tableau, Teams, Slack, Visual Studio Code, IDEA IDE, PyCharm, MacOS
The most amazing...
...thing I've developed was an audio fingerprinting algorithm, which resulted in our software determining a unique human voice with 94% accuracy.
Employment
Experience
- Driver Transparency for Last Mile Deliveries
The driver transparency project ensures that we have a way to let the driver-partners know how efficiently they make the deliveries. There were three parts to it.
The first one was the score computation piece, which involved consuming a driver's delivery data in real-time and generating a weighted score relative to the peers.
The second piece of the project was to interpret the score in a human-readable language. For that, I created a React Native app, which focused on driver standings and motivated our driver-partners to work on aspects of the delivery, which will boost their scores.
The third piece of the project was implementing the reward program for top performers and a penalty system for the low performers. I build automated workflows around offboarding the drivers who consistently failed to meet the bar.
The transparency project improved driver efficiency by 60%.
Skills
Languages
Java 8, JavaScript, Python, HTML, SQL, CSS, TypeScript, CSS3, HTML5, Python 3, JavaFrameworks
Redux, JSON Web Tokens (JWT), Material-UI, Bootstrap, Spring, React Native, Flask, Express.js, Spring BootLibraries/APIs
React, Node.js, API Development, REST APIs, jQuery, Python API, AWS AmplifyTools
Git, GitHub, PyCharm, Amazon SQS, Jira, Atlassian, Amazon Athena, IDEA IDE, Slack, Tableau, Looker, AWS Push Notification Service (AWS SNS), AWS Step Functions, AWS Glue, AWS Athena, AWS ECS, AWS CloudWatchParadigms
E2E Testing, Unit Testing, REST, Serverless Architecture, RESTful Development, Agile, Scrum, MicroservicesPlatforms
Amazon Web Services (AWS), AWS Lambda, Mac OS, Linux, MacOS, Visual Studio Code, Oracle, IBM WebSphere, AWS KinesisOther
AWS, Full-stack, APIs, CI/CD Pipelines, Serverless, Architecture, Back-end, UI, UI Development, RESTful APIs, Debugging, Front-end, Software, Software Development, Algorithms, Amazon API Gateway, API Gateways, SaaS, Responsive UI, Web UI, Atlassian Jira, eCommerce, Integration, Fintech, Requirements, A/B Testing, Teams, Artificial Intelligence (AI), Natural Language Processing (NLP), Software Design, Distributed Systems, CryptographyStorage
AWS DynamoDB, MySQL, PostgreSQL, NoSQL, Databases, Redis, RDBMS, AWS S3, MongoDB
Education
- Master's degree in Computer Science2013 - 2015Arizona State University - Arizona
- Bachelor's degree in Computer Science2006 - 2010Uttar Pradesh technical University - Uttar Pradesh, India
