Jun 2022 – Mar 2025 · 2 yrs 9 mos · Hyderabad, Telangana, India · On-site

• Worked on HR-tech SAAS platform used by users from India, SEA and Gulf Market
• Contact Pipeline: Integrated 10+ third-party APIs using Java, MySQL, and Kafka, expanding platform coverage from 10% to 50%.
• ◦ Scalability: Built a microservice architecture from scratch, scaling to 5M+ requests/month with optimized performance.
• ◦ Market Expansion: Localized APIs for SEA and Gulf regions, handling 0.25M requests/month.
• ◦ Data Processing: Optimized pipeline for 100M+ user profiles, leveraging AWS, Node.js, and MongoDB to boost retrieval speed by 25%.
• ◦ Leadership: Led Agile execution as SCRUM Master, mentoring three developers and improving sprint velocity.
• ◦ Efficiency Improvements: Reduced profile data generation time by 50% through workflow optimization.
• ◦ Performance Tuning: Implemented thread pool multithreading, cutting vendor call latency by 10%.
• ◦ SDLC Enhancement: Standardized LLD, HLD, and test case frameworks, reducing defects and streamlining release cycles; presented the approach to the CTO and led org-wide implementation.

Oct 2020 – Jun 2022 · 1 yr 8 mos

• Rapido is a Series-D funded startup and during my tenure(2020-2021)has scaled from 0 rides (due to COVID-19) to 1 lakh rides per day.
• ◦ Surge Pricing System: Developed a pricing data backend from scratch with SQL and Java, optimizing
• workflows and efficiency.
• ◦ Surge Pricing Scaling: Handled 3M+ requests per month, contributing to a 2% revenue increase in six
• months.
• ◦ Demand Prediction: Enhanced real-time demand predictions via a location-based pipeline using
• Node.js, SQL, and Kafka, increasing daily rides by 0.5%.
• ◦ Data Pipeline: Developed over 10+data pipelines utilizing Spark to process data from Kafka
• into Google Cloud, subsequently storing results in SQL databases.

Aug 2020 – Sep 2020 · 1 mo

May 2020 – Aug 2020 · 3 mos · Remote

• Subzcribe is an early-stage startup whose mission is to make its users easy to track and manage their subscriptions in one place. I joined the company when it was in the ideation phase.
• Worked on the core algorithm to automatically identify subscriptions based on user text messages
• Launched split feature where the user with their friends can buy, split the amount, and share subscription among them
• Launched credit card offers feature where you see all the offers of your bank and card provider in one place and users can create a reminder to remind them when there are offers on their favorite brand.
• Integrated Clevertap and created different events to track the user journey

Jul 2019 – Dec 2019 · 5 mos · Banglore

• Developed an algorithm to automatically find suitable candidates for a job by extracting relevant keywords from a given job description.
• Performed pattern search and used probability models to rate the importance of skills across the tech industry.
• Saved over 100+ man-hours by extracting lists of candidates for over 1200+ job descriptions in a month.
• Achieved 90% accuracy in the model, as compared with the respective manual reports.

Aug 2015 – Jun 2017 · 1 yr 10 mos · Goa,India

• As part of the Workshop team, my responsibilities were
• Organized workshops on different technologies. Companies like NVIDIA, MathWorks were invited to give talks on Machine Learning,Matlab.
• Conducted on campus and off-campus drives for promoting workshops and events.