Rahul Chauhan

Senior Software Engineer II

MakeMyTrip.com•  April 2022 - Present•  Bangalore, KA, India

~ Bifurcated the long-written monolith service into lending and insurance golang microservices, improving scalability, maintainability, and development speed. ~ Spearheaded the development of WhatsApp Commerce, serving as the foundation for a new WhatsApp campaign flow. Collaborated with external vendors (Karix and PayU) for WhatsApp Pay integration. ~ Established the PNR-PAX Integration, laying the foundation for making CFAR Multipax live, resulting in a 40% increase in transaction volume. ~ Successfully implemented Aerospike for improved database performance and replaced Couchbase with it. ~ Managed the development of the QuickQuotes feature, addressing the challenge of handling a substantial volume of API requests within strict response time limits. Leveraging Golang's concurrency capabilities, implemented Goroutines and channels to process over 10,000 API requests simultaneously, achieving a significant 30% reduction in average response time.

Software Engineer

EagleView•  February 2020 - March 2022•  Bangalore, KA, India

Developed a platform service in Golang using ECHO rest HTTP framework to manage accounts across all the products and services in the organization. ~ Developed new user onboarding and organization onboarding platform. ~ Developed a middleware entitlement service as RBAC mechanism to access eagleview products. ~ Integrated AWS Redis with entitlement service to reduce the latency to fetch user specific entitlements. ~ Creation of new product catalog service to replace use of salesforce in listing of eagleview products. ~ Implemented domain events in the Product Catalog service to explicitly implement the product changes across all aggregates. ~ Researched and integrated OKTA with account management for secure identity management using OAuth2. ~ Used Jaeger OpenTracing for debugging and observing distributed transactions across multiple microservices to analyse the reason for latency and better debugging.

ML Intern

Boston Analytics•  June 2019 - August 2019

Worked as ML/Python intern at the Gurgaon office during the summer of 2019. My work as an intern was to develop Machine Learning assisted models for the various business strategies. ~ Developed techniques & machine learning assisted models for textual mining across public web sources, predicting company acquisition trends and M&A Insights using FAIR (Facebook AI Research) Lab's, fastText. Finally return the output CSV to the user's email. (Python, Django restframework, JavaScript) ~ Concept Search Application to read CSV or XLSX, then transform it to run with Affinity Propagation for text classification against labels and finding the cluster heads. Finally classifying the various companies into clusters using word2vec and cosine similarity. (Python, Django, JavaScript, DataTables)