---
title: "BGV Prasad - Senior Staff Engineer in Hyderabad | Tal"
description: "Meet BGV Prasad, Senior Staff Engineer based in Hyderabad. AI stack includes claude code, claude, and cursor."
image: "https://tal.club/meet/bgv-prasad/share-image"
---

# BGV Prasad on Tal

## Headline

Senior Staff Engineer

## About

Senior Staff Engineer with 15 years of experience building distributed, high\-performance systems and shaping engineering strategy for complex products\. Proven expertise in Microservices Architecture, Distributed Systems, and Backend System Design, with a strong track record of delivering scalable platforms across multiple domains\. Recognized for driving end\-to\-end product development from architecture and design to optimization and delivery while ensuring performance, reliability, and business impact\. Skilled in mentoring engineers, guiding cross\-functional teams, and influencing technical direction to achieve organisational goals\. Core Strengths & Expertise •Software Architecture & Product Engineering •Distributed Systems & Microservices Design •Backend System Design & Large\-Scale Platforms •System Optimization & Performance Engineering •End\-to\-End Product Lifecycle Ownership •Technical Leadership & Strategic Mentorship

## Location

Hyderabad

## AI stack

claude code

claude

cursor

langchain

langfuse

langgraph

## Work experience

Senior Staff Engineer at Zinnia, Aug 2025 \- Present · 1 yr 1 mo, Hyderabad, Telangana, India

Senior Staff Software Engineer at Zscaler, Dec 2024 \- Jan 2025 · 2 mos, Hyderabad, Telangana, India · Hybrid, • Contributed to the Recent Activity Ingester system \(Java, Kafka, Redis\) by enhancing key modules for real\-time transaction tracking across customer zones\. • Optimised data cleanup jobs, improving performance and efficiency of retention workflows for large\-scale transaction data\. • Spearheaded the design and implementation of a secure Data Governance Framework, enabling controlled and authenticated customer data downloads\. • Architected and built a Nano Log Ingester Framework for all ZPA services, optimizing storage costs while sustaining a throughput of 200K–350K messages/second\.

Staff Engineer at Zscaler, Oct 2022 \- Jan 2025 · 2 yrs 4 mos, Hyderabad, Telangana, India · Hybrid

Principal Software Engineer at Uniphore, Sep 2021 \- Jul 2022 · 11 mos, Bengaluru, Karnataka, India, • Contributed to the next\-generation architecture of the U\-Analyze product and other Voice Analytics AI solutions, enhancing scalability and system performance\. • Optimised production code with advanced performance tuning techniques for voice call processing, achieving high throughput and low latency\. • Designed and implemented a flexible Score Engine supporting dynamic rules for real\-time call analytics\. • Improved cache management and report processing workflows, delivering faster insights while reducing overall system load\.

Staff Software Architect at GE Aviation, Sep 2020 \- Sep 2021 · 1 yr 1 mo, Bengaluru, Karnataka, India, • Designed and developed a scalable Microservices Architecture for media upload applications, enabling seamless integration across GE Aviation platforms and improving system uptime to 99\.99%\. • Led architecture for the Large Data Processing \(LDP\) product, empowering users to execute complex analytics on Big Data platforms and reducing processing time by 30%\. • Built highly available, fault\-tolerant services for large\-scale data ingestion and analytics workflows, ensuring reliability and scalability under heavy workloads\.

Staff Data Engineer at GE Aviation, Apr 2018 \- Sep 2020 · 2 yrs 6 mos, Bengaluru, Karnataka, India

Senior Member of Technical Staff at Oracle, Jun 2014 \- Mar 2018 · 3 yrs 10 mos, Bengaluru, Karnataka, India, Designed and implemented the architecture for an Integration Application to ingest, store, process, and analyze diverse log data using the Hadoop ecosystem\. • Built an end\-to\-end Lambda Architecture–based solution to handle both real\-time and batch data from Kafka streams\. • Engineered a scalable data pipeline to process and distribute data across multiple targets \(HBase, Avro, MySQL, Solr, Elasticsearch, and APIs\), enabling advanced analytics and search capabilities\. • Developed a custom log processing and analytics framework on Apache Hadoop for hardware and SaaS logs, efficiently handling terabytes of data under peak load with near\-zero downtime\.

## Education

Jawaharlal Nehru Technological University

[View the original profile](https://tal.club/meet/bgv-prasad)

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