--- title: "Gazal Shyam - Software Engineer in Pune District | Tal" description: "Meet Gazal Shyam, Software Engineer | Backend Development | Java | Spring Boot | Distributed Systems | AWS (Lambda, Step Functions, S3) | Scalable Microservices | High-Throughput Messaging Systems based in Pune District. AI stack includes gemini, github copilot, and hugging face. Explore public wor..." image: "https://tal.club/meet/gazal-shyam/share-image" --- # Gazal Shyam on Tal ## Headline Software Engineer \| Backend Development \| Java \| Spring Boot \| Distributed Systems \| AWS \(Lambda, Step Functions, S3\) \| Scalable Microservices \| High\-Throughput Messaging Systems ## About I’m a backend engineer with a strong foundation in computer science and hands\-on experience building high\-performance, distributed backend systems\. At Onextel Ltd, I design and optimize microservices, RESTful APIs, and distributed architectures using Java, Spring Boot, Erlang, and AWS to support telecom\-scale messaging pipelines\. I specialize in backend development across: High\-throughput distributed systems Performance engineering & multithreading Secure API architectures \(JWT, RBAC, gateway layers\) Scalable cloud services \(Lambda, Step Functions, S3, SageMaker\) Microservices engineering & API communication design Impact I’ve delivered: Designed multi\-threaded pipelines capable of processing 1M\+ records in milliseconds, boosting throughput and system responsiveness\. Engineered a secure API gateway layer enforcing JWT authentication, centralized RBAC, and a hierarchical Account Privilege Model, protecting the majority of platform traffic and preventing unauthorized access across services\. Built a serverless ML pipeline leveraging Lambda \+ Step Functions \+ SageMaker, enabling real\-time delivery\-vehicle classification with high\-confidence predictions using transfer learning\. Improved platform performance by adding scheduler\-driven caching and precomputation layers, significantly reducing dashboard load time\. While backend engineering is my primary focus, I also collaborate cross\-functionally with QA, DevOps, product teams, and frontend developers — ensuring reliable delivery of end\-to\-end features\. Clean architecture, maintainability, and predictable performance are values I bring to every system I work on\. I enjoy solving complex distributed systems problems, optimizing microservices, and building cloud\-native architectures that scale smoothly and reliably\. Continuous learning drives me — whether it's exploring new AWS services, improving system design, or experimenting with ML deployment patterns\. Let’s connect: If you're working on backend engineering, distributed systems, cloud architecture, or have roles in these areas, I’d love to connect and discuss opportunities or exchange ideas\. ## Location Pune District ## AI stack gemini github copilot hugging face notebooklm obsidian openai ## Work experience Software Engineer at OneXtel Media, Jul 2024 \- Present · 2 y 2 mo, Pune District, •Led asynchronous messaging pipelines supporting 3,000–4,500 TPS, managing provider rate limits to successfully process ∼7\.58B RCS and WhatsApp submissions across May–July 2026\. • Accelerated payload processing by 57% for 1M\+ records by engineering a highly concurrent pipeline, utilizing Roaring Bitmaps for efficient deduplication and rapid payload sanitization\. • Eliminated 98% of duplicate message dispatches across a 20M\-scale workload by deploying a retry\-aware scheduler with exponential back off and RocksDB\-backed state persistence\. • Delivered pipeline resilience across a decentralized ecosystem by writing comprehensive unit and integration test suites using JUnit and Mockito, achieving 84\.78% code coverage\. • Decreased client dashboard response times by 93% through scheduler\-driven caching and precomputation of delivery metrics, resolving expensive database locks\. • Centralized security for 94% of inbound traffic by constructing a JWT\-based proxy API gateway and full\-stack authentication flows using React \+ TypeScript, deploying hierarchical RBAC to reduce client misconfigurations by 30%\. • Led the transition of the messaging platform from an initial prototype to production deployment; discarded Apache Kafka and the ELK stack for custom\-engineered pipelines to reduce infrastructure costs by 20%\. • Improved production observability using Grafana, Prometheus, and structured logging, driving end\-to\-end tracing and reducing Mean Time to Resolution \(MTTR\) by 40% for dropped webhooks\. • Collaborated with 3 cross\-functional teams in an Agile environment, actively conducting peer code reviews to advance backend system architecture and coding standards\. Onextel Ltd\. Remote Software Engineer Intern May 2024 \- Jul 2024 • Directed the requirement gathering and architectural prototyping phase for a CPaaS platform, independently developing 100% of the foundational proof\-of\-concept \(PoC\) that shaped the final infrastructure\. • Designed an initial Java\-based ingestion pipeline to parse and validate bulk messaging traffic, establishing the groundwork for the high\-performance routing gateways constructed in the subsequent phase\. • Programmed Spring Boot middleware to intercept and standardize 4 distinct telecom Delivery Receipt \(DLR\) webhooks, advancing the data models required for unified client reporting ## Education Bachelor of Technology \- BTech, Computer Science and Engineering, National Institute of Technology Hamirpur\-Alumni Auckland House School ## Public links - github: https://github\.com/gazalshyam - leetcode: https://leetcode\.com/gazalshyam18 - medium: https://medium\.com/@Gazalshyam18 [View the original profile](https://tal.club/meet/gazal-shyam) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/gazal-shyam#person", "name": "Gazal Shyam", "url": "https://tal.club/meet/gazal-shyam", "image": "https://tal.club/meet/gazal-shyam/profile-photo.jpg", "description": "Meet Gazal Shyam, Software Engineer | Backend Development | Java | Spring Boot | Distributed Systems | AWS (Lambda, Step Functions, S3) | Scalable Microservices | High-Throughput Messaging Systems based in Pune District. 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