Aug 2023 – Apr 2024 · 8 mos · Bengaluru, Karnataka, India · Hybrid

• Revamping Product and Pricing Management tool to make lives of marketers easier and enable faster offer generation on Intuit products globally
• Implemented Kafka Producer Consumer queuing mechanism for enabling Mass upload and edit of go to market items in PPM tool. Saved ~50 man hours for manual one by one upload of GTM Items.
• Automated Configure Promotion flow to prevent duplicate offer creation by marketers saving database cost and allow modification of conflicting offers reducing offer creation time by 80 man-hours.
• Reduced FCI count to zero for 4 microservices in a span of 2 sprints.

Aug 2022 – Aug 2022 · 0 mo · New Delhi, Delhi, India · On-site

• Participated among top 400 international delegates in Group discussions, networking, keynote sessions with top global leaders and competed for Impact Consulting Case Challenge by Dalberg on subject : Enhancing FLN skills in Primary Students during Covid

Jul 2022 – Aug 2022 · 1 mo · Virtual · Remote

• Solved 40+ daily challenges about learning User Personas, Pain Points, Competitive Analysis, Product Roadmap on real life products
• Developed Product Teardown & pitched MVP to launch Schedule Pool feature for Rapido app.
• Landed among Top 5 teams for pitching a business model on a marketplace connecting YouTube video editors with content creators for post-production work

Feb 2022 – Feb 2022 · 0 mo · Delhi, India

Dec 2021 – Jan 2022 · 1 mo · India

• Jagriti Yatra is an experiential 14-day train journey covering 8000Km circumnavigating the length and breadth of country by meeting 12 iconic role models and 500 changemakers who are "Building India through Enterprise"

Aug 2021 – Aug 2023 · 2 yrs · Bangalore Urban, Karnataka, India

• Ownership and maintenance of 10+ microservices and datastores of Elasticsearch, MongoDB, Redis, MySQL in Core Catalog & Buying Engineering team
• Enhancing seller experience by optimizing seller dashboards, implementing new features from scratch, fixing production level bugs for a consistent product catalog.
• Implemented quartz scheduler from scratch that executes bulk jobs using scheduled crons for updating selection marker tags of products on FK site
• Enabled compatibility relationship between verticals to enhance user search during sales and added nested attributes support in Elasticsearch db to enhance data flexibility of products on FK site
• Automated mapping updation during creation/edit of ES index by listening to Kafka queue topic
• Building, deploying and migrating applications on Kubernetes cloud platform from VM architecture
• Written low level designs for new features to enhance storage and serve capabilities
• Enhanced unit test coverage for core microservices
• Mastered core Elasticsearch concepts and upgraded cluster OS from deb9 to deb11 for various services.
• Automated various Ops processes by writing Python Scripts and 24/7 on-call support for maintaining data hygiene, enhancing seller experience.
• Code review for peers on owned microservices for enhancing code quality and practising latest design patterns.
• Presented root cause analysis for future proof solutions.
• Mentoring junior teammates and DevOps by knowledge sharing sessions and providing background context to execute their tasks.

Sep 2020 – Dec 2021 · 1 yr 3 mos · Remote

• Optimized backend of a proactive site analyzer tool on MyYodlee platform to enhance the user experience on the platform by making it more intuitive.
• Powered new templates for identifying various user issues on site with the aim of better readability on UI
• Implemented junit tests for the service to improve code coverage upto 80%

Sep 2020 – Aug 2021 · 11 mos · Remote

Mar 2020 – Jul 2020 · 4 mos

• Providing one-on-one mentorship to mentees to understand and solve various Data Structures & Algorithms concepts and problems in C++, recommending efficient solutions and documenting their progress on a regular basis.

May 2019 – Jul 2019 · 2 mos · Noida, Uttar Pradesh, India · On-site

• Experienced working in an Electronic Design Automation (EDA) domain organization. Contributed to build foundation of a live Machine Learning project for 2 months under excellent mentorship
• Implemented Tensorflow Neural Network and Ensemble based model to predict runtime & peak memory of event propagation
• for optimizing the view using machine learning.
• Performed live data gathering, cleaning, training, testing evaluation and optimizing accuracy on real time ANSYS dataset using python script and pandas data visualization module
• Presented quantitative & qualitative accuracy of final trained models to the team for future optimizations

Dec 2018 – Jan 2019 · 1 mo · Greater Delhi Area

• Implemented a Graph Digitizer tool in Python that automates the process of reverse engineering data visualization images to extract numerical data points.

Aug 2018 – Aug 2019 · 1 yr · Rohini, Delhi, India