Apr 2021 – Jan 2024 · 2 yrs 9 mos

• 1. Collaborated with the Product Owner to collect and understand the customer requirements
• 2. Designed and developed new APIs to cater to different types of transportation services that increased the count of drivers logging their duty hours into our system by approximately 400%, with revenue more than doubling
• 3. Made sure the increased user base does not affect the performance requirements asked by clients.
• 4. Started initiatives for collaborative learning in the team and guided the juniors developers in the team with code and design document reviews
• 5. Worked on multiple projects with different teams and quickly adapted to new teams and technologies
• 6. Built REST APIs, using python, flask, postgresql, elasticsearch, docker, celery
• 7. Experience with CI/CD pipelines like buildkite, jenkins for frequent, quick and safe deployments
• 8. Involved in agile/scrum environment, daily meetings and sprint planning
• Participated in Trimble hackathon 2022:
• 1. As part of an yearly goal, Trimble planned to implement standardized user interface styling guidelines called modus in all Trimble products.
• 2. Modus scanner is built to scan any trimble web app and give an analysis as to which components in the app are not following trimble guidelines to help teams quickly and efficiently transform their applications.
• 3. Used python, selenium to get the HTML elements and compare the styles to the given guidelines and detect the differences.
• 4. Designed APIs and storage which is then implemented using Nodejs, SQL

Apr 2019 – Apr 2021 · 2 yrs

• 1. Developed a centralized data management system for collecting and processing driver log data of over 10k drivers from multiple telematics service providers. The product helped transportation companies keep track of drivers’ hours of service and ensure driver safety.
• 2. Collaborated with a team of 20+ members spread across India, USA and South America.
• 3. Built a completely serverless API using Python, AWS lambda, API Gateway and other AWS services
• 4. Performed load testing and made improvements in code to improve API performance by 40%
• 5. Designed and developed highly scalable, cloud-native and event-driven solutions that solve customer needs revolving around complex business rules and huge amounts of data using AWS kinesis, sqs, dynamodb, step functions, redis, elasticsearch
• 6. Hands-on experience with terraform for building, changing and versioning infrastructure safely
• 7. Adopted test driven development to build fault tolerant system and increased code coverage to 90% using pytest for backend and react-testing-library for frontend
• 8. Collaborated in designing and developing various UI components to search and view highly hierarchical data using reactjs, typescript, material ui which received appreciation from customers for it's usability
• Participated in Trimble hackathon 2019:
• 1. Built a custom object detector to detect UI elements like button, checkbox, textbox etc from hand drawn wireframes using computer vision techniques like HOG descriptor, sliding windows and image pyramids, non-maxima suppression, hard-negative mining etc.
• 2. After detecting the UI elements along with their positions, it’s used to automatically generate code in HTML, CSS to create a website

Jul 2017 – Mar 2019 · 1 yr 8 mos · Hyderabad Area, India

• 1. Collaborated with designers to build a responsive website for fleet management used by 30+ customers using reactjs, redux, css, HTML5, webpack build tools.
• 2. Developed code that deals with large data sets by rendering components on UI and optimizing calls to minimize HTTP requests by 60%
• 3. Built end to end features like live tracking, geo-fencing, route planning, ETA notifications, dashboard with insights on vehicle and driver performance etc using reactjs, nodejs, mongodb, python and other technologies
• 4. Collaborated with sales team to come up with requirements for customer and inventory management application for company's internal use

Jan 2017 – Apr 2017 · 3 mos · Chennai Area, India

• 1.Created a machine learning model to predict road freight costs for new routes
• 2. Pre-processed the data and used ML algorithms like linear regression, random forest, k-means clustering etc.

Jun 2016 – Jul 2016 · 1 mo · Hyderabad Area, India

• 1. Worked on capturing videos from the Television STB using Raspberry Pi, V4L API/Python-OPENCV library and TV tuner cards.
• 2. The videos are then processed and modified using computer vision techniques for various applications.