# Laba Deka > MS CS @ NYU | Backend Engineer (4+ YOE) | Distributed Systems & AI | Ex-SDE 2 @ BookMyShow Location: New York, New York, United States Profile: https://flows.cv/laba I'm Laba , a software engineer with a background in high-throughput distributed systems. Prior to joining NYU for my Master's in Computer Science, I spent four years at BookMyShow (India's largest ticketing platform). There, I helped re-architect the recommendation engine from a monolith to Go microservices, enabling the system to sustain 500k RPM traffic peaks during major launches. My work has always centered on reliability, performance optimization, and cost-efficient cloud architecture. Currently, I am expanding my focus to AI Engineering, exploring how to build deterministic and scalable systems for LLM agents. Skills: Distributed Systems, Go, Scala, AWS, Kubernetes, Multi-Agent Systems. ## Work Experience ### Software Engineer @ Arya Health Jan 2026 – Present | New York, NY ### Course Assistant - Applied Internet Technology (CSCI-UA 467) @ NYU Courant Institute of Mathematical Sciences Jan 2024 – Present | New York, United States Grading: Evaluated full-stack web development projects focused on client-server architecture, version control, testing, and front-end design. Technologies included JavaScript, Node.js, Express, React, Next.js, Tailwind CSS, Chai.js, and Git. Automation & Scripting: Developed shell/BASH scripts to automate grading tasks by cloning student Git repositories, counting commits, installing dependencies via npm, and running custom test cases significantly reducing manual effort and improving grading consistency. ### Software Development Engineer 2 @ BookMyShow Jan 2023 – Jan 2024 | Bengaluru, Karnataka, India Scalable Recommendation System (500k RPM): As a core member of the Personalization Team, engineered a distributed recommendation engine handling traffic peaks of 500,000 requests per minute. Maintained 99.99% availability during blockbuster releases by implementing Circuit Breakers and custom connection pooling. High-Scale Architecture: Led the strategic migration of the legacy monolith to a high-concurrency Go (Golang) microservice architecture. This reduced AWS infrastructure costs by 40% while serving millions of users across Movies, Events, and TVOD. Performance Engineering: Designed a Scatter-Gather concurrency pattern using Go Routines to aggregate various user data and content data in parallel. This slashed p99 latency by 50% (300ms to150ms), directly improving the user experience on the Home Page and Top Nav. Search Infrastructure: Engineered the "Trending Searches" data pipeline, ingesting real-time user query logs to dynamically update the Search API. This feature drove content discovery and increased user engagement during peak booking windows. ### Software Development Engineer @ BookMyShow Jan 2020 – Jan 2023 | Mumbai, Maharashtra, India Cloud Migration (AWS): Executed the on-premise to AWS cloud migration for the Personalization tech stack. Successfully migrated Terabytes of user data with zero data loss, ensuring high availability for downstream applications. Real-Time Data Engineering: Engineered high-throughput ETL pipelines using Apache Spark (Scala) and Kafka. Integrated clickstream data from Redshift/SQL into Elasticsearch and Aerospike to power real-time personalization algorithms. Workflow Automation: Developed automated data ingestion workflows using Apache NiFi, streamlining the transfer and transformation of data between Kafka streams and transactional SQL databases. Observability & Monitoring: Implemented comprehensive system observability using Elastic APM and Coralogix. Configured critical Slack/Email alerts for API latency and error rates, significantly reducing Mean Time to Detect (MTTD) for production incidents. System Stability: Stabilized and maintained critical legacy Java/Scala applications, ensuring 100% uptime during the high-traffic post-pandemic platform resurgence. ### Data Mining Intern @ BiosectRx Jan 2020 – Jan 2020 Market Research Automation: Built a Python-based web scraper to aggregate and index biotech industry news and employer contact details, replacing manual data collection with automated Excel report generation. Technical Implementation: Utilized BeautifulSoup and Requests to extract data from multiple external sources, implementing robust error handling and pagination logic to ensure reliable data ingestion ## Education ### Master's degree in Computer Science New York University ### Bachelor of Technology in Computer Science and Engineering National Institute of Technology Silchar ### Don Bosco School Guwahati ## Contact & Social - LinkedIn: https://linkedin.com/in/laba-deka --- Source: https://flows.cv/laba JSON Resume: https://flows.cv/laba/resume.json Last updated: 2026-04-13