Aditi Bahl
Overview
3
3
years of professional experience
Work History
Software Development Engineer
Amazon
04.2022 - Current
- Migrated the traffic for 2 events from old stack to new AWS stack
- Increased the traffic to Amazon Pay by 35bps by including microtext for various payment options given
- Designed and implemented a redrive system for missed Amazon Pay notifications which handled 60-100 transactions per second and has saved 100s of SDE hours by re-driving 50,000+ transactions
- Worked on pre order page(front-end) for Shop With Points program which when opened received 117 orders within the first few days
- Worked on writing integration tests for Buyer Notifications to reduce bugs and faulty code going into production
Assistant Software Engineer
Nextuple Inc.
10.2021 - 04.2022
- Worked on UI for the distribution system using React JS
- Worked on packing and picking back-end using Java.
Assistant System Engineer
Tata Consultancy Services Limited
06.2021 - 10.2021
- Trained on Software AG
Education
Bachelor of Technology - Computer Science Engineering
Indian Institute of Information Technology
04.2021
Skills
- C
- C
- HTML/CSS
- JAVA
- Spring(basics)
- React JS
- MySQL
- Data Structures
- Algorithm
- Database Management Systems
- Object Oriented Programming
- Operating System
- AWS
- Good conversational skills
- Punctual
- Fast-learner
- Leadership quality
Accomplishments
- Secured second rank in the regional qualifiers(Central India) for CoDecode,2018 and qualified for the finals held in Techfest,IIT Bombay.
- Secured rank in Top 10 in a college event of coding questions conducted by INSPIRE, MANIT.
- 5 star coder in C on HackerRank.
Positions Of Responsibility
- Creative writer in the first ever society of IIIT Bhopal-Metaphysics. (2018)
- Co-Head of the Training and Placement Cell, IIIT Bhopal (01/2020-04/2021)
- Part of the PR team of a MANIT organised fest Maffick, 2019 (2019)
- Part of Organising team of Wise One Up, 2018, organized by Metaphysics, IIIT Bhopal. (2018)
Projects
Facial Expressions Recognition, 01/2020, 04/2020, Based on 2017 research paper ‘Facial Expression Recognition Using a Hybrid CNN– SIFT Aggregator’ to recognise facial expression of humans and developed using CNN and SIFT . It is trained on FER 2013 dataset. Python was used. It gives result with 72.75% accuracy. Efficient Doctor Patient, 01/2019, 04/2019, Designed a Hospital management system for making online appointment using HTML and CSS. Backend is developed using PHP and MySQL.
Timeline
Software Development Engineer
Amazon
04.2022 - Current
Assistant Software Engineer
Nextuple Inc.
10.2021 - 04.2022
Assistant System Engineer
Tata Consultancy Services Limited
06.2021 - 10.2021
Bachelor of Technology - Computer Science Engineering
Indian Institute of Information Technology
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