Pranay Rawat Email & Phone Number

New York, Ny, Us

New York, Ny, Us

United States

United States

Delhi, India

Defining the overall experience of the product.

Delhi, India

Creating an end-to-end image editing AI tool to simplify your image operations one picture at a time.https://fotomateai.com/Conceptualized customer needs into key features, designed product flow, and collaborated on creating 7 AI-based editing tools like Autofocus, Colorizer, and Magic Eraser with a team of one designer and two developers.Led integration of generative AI tools (DALLE-3 and Midjourney) with Fotomateai's image editing modules. Orchestrated end-to-end… Show more Creating an end-to-end image editing AI tool to simplify your image operations one picture at a time.https://fotomateai.com/Conceptualized customer needs into key features, designed product flow, and collaborated on creating 7 AI-based editing tools like Autofocus, Colorizer, and Magic Eraser with a team of one designer and two developers.Led integration of generative AI tools (DALLE-3 and Midjourney) with Fotomateai's image editing modules. Orchestrated end-to-end operations, encompassing machine learning models, backend, and frontend development.Initiated and led the editing API project to create an API-based functionality for editing modules. Managed the API's design and functionality while overseeing security and compliance, performance and stress testing, and thorough documentation. Show less

Improved Amazon Hub Partner Portal’s MAU by 7-8% MOM - Led the website revamp with the implementation of dynamic features, including a live search, performance dashboard, and enhanced Store Information page for an impactful user experience.Reduced the device launch time on Amazon Appstore by 85% - As the lead Engineer, helped automate the launch process of devices like Alexa and FireTV on Amazon Appstore. Utilized stateless AWS Lambda function as the compute unit to automate the… Show more Improved Amazon Hub Partner Portal’s MAU by 7-8% MOM - Led the website revamp with the implementation of dynamic features, including a live search, performance dashboard, and enhanced Store Information page for an impactful user experience.Reduced the device launch time on Amazon Appstore by 85% - As the lead Engineer, helped automate the launch process of devices like Alexa and FireTV on Amazon Appstore. Utilized stateless AWS Lambda function as the compute unit to automate the process.Revamped AWS State Machine to introduce a restart feature from an intermediary step, saving ~ 5 hours of launch time per device.Responsible for maintaining Access Point Information Service, a tier-I service with 99.99 % availability.Enhanced usability of the New Device Launch tool by developing the front end using Amazon Harmony, Javascript, and React.js.Developed the HLD and App Health Insights dashboard MVP for Amazon Appstore developers using AWS resources like Athena, Glue, Quicksight, and Re cache. Presented the prototype to senior management and got approval for further development Show less

Singapore

Worked with the product team part-time to understand and solve operational challenges.Acted as a bridge between marketing and engineering teams to implement deep links on the Syfe website and the app, which led to a ~6% increase in the MoM conversion rate from signup to deposit.Created an NLP-based customer query tagging and segmentation mechanism, improving the ticket resolution rate by ~13%.

Founded and led a core team of 12 students to establish the first AI/ML society at Delhi Technological University.Successfully Expanded the community to become the largest on campus, boasting over 400 members within six months.Conducted live classes, expert webinars, and socializing events for better community engagement.

Delhi, India

Worked in the domain natural Language Processing domain to solve one of the most popular topics of abstractive summarization. Here we proposed a multi-document summarizer that works best on non-static data, where data keeps on changing, like summarizing movie reviews which keep on increasing in magnitude.

Noida, Uttar Pradesh

Worked with various financial services clients to draw insights from the vast amount of user/company data.Utilized unsupervised clustering algorithms like DBSCAN on ~2M customer data points to achieve a 93% recall rate in detecting anomalies. A fintech client utilized this model to detect potential loan defaultersUsed predictive model markup language to devise and document a method to store large machine-learning models in a platform-independent format. The team could use it to… Show more Worked with various financial services clients to draw insights from the vast amount of user/company data.Utilized unsupervised clustering algorithms like DBSCAN on ~2M customer data points to achieve a 93% recall rate in detecting anomalies. A fintech client utilized this model to detect potential loan defaultersUsed predictive model markup language to devise and document a method to store large machine-learning models in a platform-independent format. The team could use it to run models created for vanilla python environments in Spark, Hadoop, etc. Show less

Master Of Science - Ms, Management Science

Master'S Degree, Management Science And Engineering

Pcm With Computer Science

Bachelor'S Degree, Computer Science, 8.66/ 10

Activities and Societies: Executive Manager - AIMC-DTU ; Member of IEEE

Cac, Product Management