Syed Tayassar S.

Software Engineer

Bengaluru, Karnataka, India7 yrs 1 mo experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led AI initiatives driving significant revenue growth.
  • Architected scalable platforms for high-impact business solutions.
  • Mentored engineering teams, enhancing technical capabilities.
Stackforce AI infers this person is a SaaS expert with a strong focus on distributed systems and cloud infrastructure.

Contact

Skills

Core Skills

Distributed SystemsCloud InfrastructureAi/ml Platforms

Other Skills

AIAlgorithmsAmazon Web Services (AWS)AnsibleApache KafkaAutomationAzureC++ClickHouseCloud ComputingComputer VisionCost OptimizationCost TrackingData StructuresDeep Learning

About

Staff Software Engineer with expertise in Distributed Systems, Cloud Infrastructure, and AI/ML Platforms. Currently at Zepto, building brand analytics portal and marketplace systems for vendor/seller management. Leading GenAI initiatives and architecting company-wide AI development platform. Built rider delivery services that scaled across all Zepto stores. Previously at VMware (now Broadcom), worked on NSX Advanced Load Balancer optimizing data-path performance. Skilled in Golang, Python, TypeScript, Kubernetes, and distributed technologies (Kafka, Temporal). Experienced across AWS, GCP with focus on infrastructure optimization and system reliability. Passionate about solving complex technical challenges and mentoring engineering teams.

Experience

7 yrs 1 mo
Total Experience
2 yrs 4 mos
Average Tenure
3 yrs 10 mos
Current Experience

Zepto

3 roles

Staff Software Engineer

Promoted

Oct 2024Present · 1 yr 8 mos · Bengaluru, Karnataka, India

  • Architecting and delivering transformative platforms that directly impact Zepto's business growth and operational excellence. Created Brand Analytics Portal with real-time OLAP integration using StarRocks, enabling data-driven decision making for brand partners.
  • Pioneered Zepto Atom, an AI-powered conversational analytics platform allowing brands to query data using natural language, unlocking new subscription-based revenue streams. Built company-wide GenAI development platform empowering cross-functional teams (Engineering, Product, Analytics, HR, Design) to deploy production-ready AI solutions with proper observability, cost tracking, and A/B testing capabilities.
  • Led critical compliance initiatives for IPO readiness, eliminating manual processes and achieving significant cost savings. Standardized Kafka infrastructure with GitOps workflows, custom Terraform modules, and comprehensive monitoring, maintaining 99.99% uptime while saving $37K+ annually through optimization.
  • Currently driving technical strategy through comprehensive documentation (TRDs, RFCs), shared libraries development, and cross-team standardization initiatives for Kafka, Temporal, and GenAI infrastructure.
TemporalClickHouseMongoDBTerraformKong API GatewayApache Kafka+6

Senior Software Engineer

Promoted

May 2023Oct 2024 · 1 yr 5 mos · Bengaluru, Karnataka, India

  • Led development of multiple business-critical platforms including Bloom Service Backend for Fruits & Vegetables inbounding and Vendor Portal with integration to Ads and Discount services.
  • Launched Fulfilled by Zepto (FBZ) automated payouts system processing $2M+ monthly payments for hundreds of vendors, fundamentally improving cash flow operations.
  • Drove infrastructure optimization initiatives including migration of BU Kong services to centralized setup. Mentored 5 junior engineers, conducted 25+ technical interviews, and delivered multiple tech talks on system architecture.
MongoDBKong API GatewayLoad BalancingJavaScriptPython (Programming Language)Distributed Systems+1

Software Engineer II

Jul 2022Apr 2023 · 9 mos · Bengaluru, Karnataka, India

  • Built core infrastructure for Zepto's hyperlocal delivery operations, developing real-time rider location tracking and delivery allocation services that scaled from pilot to all stores within 6 months. Optimized last-mile delivery algorithms through advanced batching configurations, reducing cost per order by 12% and order loss to <2%.
  • Enhanced customer experience by implementing improved ETA prediction logic that reduced delivery time breaches by 10% and helped achieve NPS scores >85. Maintained 99.9% SLA for critical services with <0.1% error rates and <100ms p99 latency.
AlgorithmsData StructuresPython (Programming Language)Distributed Systems

Vmware

2 roles

MTS-2

Promoted

Nov 2020Jul 2022 · 1 yr 8 mos

  • Worked on a MVP for using NSX Advanced Load Balancer with Horizon VDI workloads hosted on vCenter as well as Azure cloud. This included support for GSLB site-persistence, with minimal configuration overhead compared to previous solutions.
  • Designed and built tools to conduct fault tracing and troubleshooting with the end goal of ensuring high availability of control plane clusters.
  • Worked on NSX Advanced Load Balancer's data-path isolation features that reduced the P99 connection establishment time from client to the load balanced app by 35%.
NSX Advanced Load BalancerAzureGSLBCloud Infrastructure

MTS

Aug 2019Nov 2020 · 1 yr 3 mos

  • Created a robust task execution framework that was highly flexible and supported asynchronous messages with extensive metrics and analytics.
  • Created and integrated public cloud usage monitors for getting a quick pulse on cloud deployments, and predicting cost optimizations which resulted in reducing spends by 10%.
Cloud ComputingCost OptimizationCloud Infrastructure

Avi networks

2 roles

MTS

Jul 2019Aug 2019 · 1 mo · Bangalore

  • Acquired by VMware 🎉

Intern

Jan 2019Apr 2019 · 3 mos · Bangalore

  • Automated deployment of Openstack and Bare-Metal clouds using IaC(Infrastructure as Code) tools like Ansible, Foreman, and Puppet.
  • Created dashboards to monitor and track system test coverage across various customer and feature specific test suites using Node.js, Grafana, and Postgres.
AnsiblePuppetNode.jsCloud Infrastructure

Dztranz inc

Intern

Feb 2018Jun 2018 · 4 mos

  • Created AI enabled chatbots with domain expertise as a conversational platforms to support consumers in various industries such as retail, travel, and IT services using IBM Watson.
  • Worked on an intelligent Ad target platform that used Computer Vision and Deep Learning technology to identify company logos, person's gender and age from photos.
IBM WatsonComputer VisionDeep LearningAI/ML Platforms

Education

JSS SCIENCE AND TECHNOLOGY UNIVERSITY

Bachelor of Engineering — Computer Science

Jan 2015Jan 2019

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