Srikar Mantravadi

Architected, built and managed distributed systems that powered Plivo’s messaging platform. Plivo (YC S12) is a cloud communications platform leveraged by thousands of enterprise customers, serving 1 Billion API requests every month over 190+ countries.

• Architectural Overhaul: Led migration to Active-Active architecture, by solving geo-distributed rate limiting, achieving 99.99% availability, and enabling 20x scalability. Promoted company-wide adoption via a tech talk.
• Project Management: Led a 4-member team, oversaw roadmap planning, execution, and delivered Private and Public Beta releases of Plivo's WhatsApp Business API.
• Database Management: Led central DBs migration to Aurora, multi region setup, connection pooling, regular DB upgrades, process management for DDL statement issuance resulting in improved performance and stability.
• Technical Leadership: Conducted design and code reviews, pioneered streamlined onboarding, and actively managed incident response. Conducted 30+ technical interviews for SDE, SDM positions, setup coding rounds on hiring platforms.

• Scalability & Availability: Proposed, implemented a scalable, concurrent message consumer algorithm with custom failover, solving geo-distributed message rate-limiting and laying foundation for Active-Active architecture.
• Performance Optimization: Enhanced p99 latencies by 10x through query batching, improved indexes, caching, and granular observability. Reduced cloud costs by ~6% through optimized autoscaling, SQS batching, and instance usage.
• ETL & Data Pipeline Development: Designed Airflow-based ETL & Data pipelines for ported number data and internal reporting analytics, providing revenue and traffic insights.

• NLP System Enhancement: Proactively designed, implemented, and scaled a BERT-based inference system to route spam and fraud messages to flaky carriers, enhancing content filtering.
• Scalability & Efficiency: Optimized the inference container performance for 1000 RPS with minimal cloud costs, maintaining a maximum 500 ms inference latency for real-time message content analysis.
• MMS API Product: Developed and launched MMS API with MM4 and MM7 protocol support, complete with a frontend for media handling capabilities. MMS channel currently supports scale of 1000 RPS.
• Efficient Rate Limiting: Designed a high-efficiency rate-limiting service using the leaky bucket algorithm, Redis Lua scripting, that supported a scale of 2000 RPS.

Honors student at the Language Technologies Research Centre

• Enhanced Message Routing: Integrated a third-party tool to automate carrier ranking based on deliverability and margins, optimizing telecom carrier selection within Plivo's dynamic routing system. Developed frontend for observability and configurability.

• Improved Social Network: Developed a Twitter-like hashtag system using Node.js and React, enhancing user interaction and content discoverability. Implemented a dashboard to download network metric reports.

• Strengthened Server Security: Key role in developing a server security app, enabling bot traffic elimination and user data tracking, fortifying system security and data oversight.

(Rank) AIR 2456 (200,000 students appeared)

(Rank) AIR 896 (Score) 277/360 (1,300,000 students appeared)