"Specialist in Scalable Backend Solutions for Financial Services"_______________________________________________________◦ Disbursements: Built a rule engine for routing transactions to multiple banks and automating the disbursement process by integrating external bank APIs, reducing manual intervention to 10%.◦ Co-Lending: Designed and executed co-lending functionality to support multiple lenders, leading to a 30% increase in loan disbursement volume, a 20% reduction in default risk, and 25% faster loan processing.◦ Repayments: Implemented an escrow-based daily repayment system to automate the distribution of funds between lenders and borrowers based on predefined splitting logic, reducing the risk rate by 15%.◦ GPay-Escrow: Integrated Google Pay (GPay) by fetching transaction data from GPay’s SMTP server, calculating deductions for over 10,000 borrowers per day, and efficiently receiving the deducted amounts.◦ Monitoring: Deployed New Relic for real-time microservice monitoring, tracking failures and resource usage, reducing downtime by 30% and improving incident response time by 25% through automated email alerts.

"Specialist in Scalable Backend Solutions and Efficient Data Pipeline Architectures"________________________________________________________________________◦ Anomaly Detection: Developed a comprehensive solution for real-time anomaly detection that leveraged Kafka and Apache Flink being utilized by over 15 data engineers, facilitating rapid response to data irregularities.◦ SIM Activation: Automated SIM activation for Ola scooters by integrating Jio’s SIM activation and status APIs, reducing manual work to less than 5% and supporting the activation of over 20,000 SIMs per month.◦ Promise Engine: Designed a promise-engine service for efficient vehicle ordering and inventory management, enabling the sale of over 20,000 scooters monthly through seamless integration with the inventory system.

◦ Predictive Modeling: Constructed a machine learning model to optimize compositions of Perovskite solar cells, boosting performance by over 40% and achieving accuracy exceeding 85%.◦ Dataset Construction: Compiled and processed a dataset from research papers, performing regression to predict stability, and analyzing correlations to identify key variables, significantly improving predictive accuracy.◦ Correlation: Applied Spearman’s rank order correlation method to determine the most influential cation on stability, with Cs resulting in a stability value of 740 hours with an optimized composition.

• Led a team of 80 students in organizing literature-based events at Hindi Sahitya Sabha, boosting participation and interest.• Developed innovative strategies to make complex literary narratives accessible to a wider audience.• Increased event attendance by 30% through effective marketing and outreach efforts.

• Managed a budget of INR 1.5 Lakh, organizing festivals and cultural activities for over 1,000 students.• Oversaw cultural enrichment initiatives at Hall of residence 12, IIT Kanpur, promoting diversity and inclusion.• Collaborated with student groups to create engaging events, fostering a sense of community and belonging.