Rishab Dawar

• Optimized Redis hotkey usage and resolved bottlenecks, reducing system latency by 23% and improving performance to handle 15,000+ requests per second.
• Engineered an AI-powered customer support bot, leveraging LLMs and NLP models, accelerated ticket resolution by 28%, enhancing user satisfaction and support efficiency.
• Enhanced database performance by archiving 1.1B+ reward table rows, cutting query time by 50% (200ms → 100ms) and maximizing throughput to 500 TPS.

Software Development Engineer 2

• Spearheaded a 3-member team, mentoring juniors to launch a listening streak, boosting engagement by 9% and watch time by 15 min.
• Architected a scalable ‘Auto Debit’ system, enabling seamless renewals and driving $800K+ in revenue in 3 months.

Tech Stack: Python, Django, PostgreSQL, Redis, AWS, Distributed Systems, A/B Testing Framework.

• Devised an in-house notification system with Amazon SQS, replacing MoEngage, boosting user engagement by 43% and AUM by 3.7% in a month.
• Led a team to develop a scalable mutual funds analyzer with CockroachDB, leveraging RPCs and data feeds for enhanced data quality and features.
• Implemented an automated ticketing system for mutual fund orders, cutting issue resolution time by 64%.
• Saved $3,500/month by replacing Elasticsearch with Zinc-Search, improving fuzzy search.

Tech Stack: Golang, CockroachDB, Protobufs, AWS, Redis, PostgreSQL, gRPC, Distributed Systems, Microservices Architecture

• Developed a weight discrepancy dashboard, reconciling seller and courier weight data, increasing revenue by 18%.
• Implemented data archiving for 90+ day-old records in Amazon S3 Glacier for cost-efficient storage.
• Integrated Kafka in NodeJS, reducing MongoDB data lag from 12 hours to 10 seconds for real-time courier tracking.

Tech Stack: Python, Django, NodeJS, MongoDB, MySQL, AWS, Redis, Kafka, Celery, Event Bridge.