---
title: "Sadu Shashank Reddy - Software development engineer 2 in Hyderabad | Tal"
description: "Meet Sadu Shashank Reddy, SDE-2 @ Verizon ( Building High Performance and Scalable Frontend Application React js , typescript, JavaScript(ES6),Redux) based in Hyderabad."
image: "https://tal.club/meet/sadu-shashank-reddy/share-image"
---

# Sadu Shashank Reddy on Tal

## Headline

SDE\-2 @ Verizon \( Building High Performance and Scalable Frontend Application React js , typescript, JavaScript\(ES6\),Redux\)

## Location

Hyderabad

## Work experience

Software development engineer 2 at Verizon, Dec 2023 \- Apr 2026 · 2 yrs 5 mos, • Architected a robust enterprise AI Assistant utilizing a LangGraph state machine to orchestrate complex Agent\-Tool\-Agent execution flows, dynamically generating and rendering contextual HTML responses for end\-users\. • Optimized LLM token consumption and response latency by implementing a sliding\-window conversational memory \(retaining the last 5 user turns\) via Redis, seamlessly managing context window limits during extended interactions\. • Developed a Retrieval\-Augmented Generation \(RAG\) pipeline integrated with a vector database for precise technical glossary lookups, maximizing retrieval accuracy and relevance through cosine similarity scoring\. • Engineered a highly resilient unified agent service featuring custom tool wrappers with automated retry mechanisms, deterministic fallback protocols, and active rate\-limit logging to gracefully handle API timeouts and mitigate LLM hallucinations\. • Enforced strict data privacy and security standards by implementing pre\-LLM PII redaction pipelines, utilizing the nh3 library for robust HTML sanitization, and configuring secure 5\-minute session timeouts\. • Decoupled LLM system prompts from the core codebase into a dedicated, version\-controlled configuration service, enabling zero\-downtime prompt updates and rapid iteration of AI personas\. • Integrated a multi\-layered logging and observability suite with Prometheus and Grafana, enabling real\-time monitoring of LLM workflows, detailed tracing of user\-agent\-tool interactions, and rapid identification of production anomalies\.

Software Engineer at Verizon, Jun 2022 \- Jun 2023 · 1 yr 1 mo, • Architected a customizable drag\-and\-drop dashboard for technicians and supervisors using React\-Grid\-Layout, supporting dynamic layout configurations across 5 responsive breakpoints\. • Engineered high\-performance rendering by offloading heavy layout space optimization algorithms to Web Workers, preventing main\-thread blocking during complex drag\-and\-drop operations\. • Optimized React component lifecycle utilizing useMemo, useCallback, and useRef to memoize expensive calculations within data\-heavy widgets \(Job Status, Schedule Management, Interaction Matrix\)\. • Enforced strict engineering standards across the project utilizing TypeScript for type safety, Jest for unit testing, and a custom Webpack/Babel build pipeline\. • Integrated robust API communication between front\-end dashboards and backend microservices using Axios with advanced error\-handling strategies and request debouncing, enhancing data reliability and application responsiveness\. • Facilitated troubleshooting processes by leveraging Redux DevTools and Chrome Developer Tools to diagnose, isolate, and resolve 30\+ recurring UI and API integration issues monthly, reducing bug resolution turnaround by 45% over 12 months\.

Intern at Verizon, Feb 2022 \- Jun 2022 · 5 mos, Hyderabad, Telangana, India, • Architected a live dispatch mapping interface using React\-Leaflet to simultaneously visualize multi\-layered geospatial data, including dynamically fetched facility hubs, active job sites, and real\-time technician coordinates\. • Integrated asynchronous REST APIs to plot job and facility locations on an interactive Leaflet canvas, utilizing React state management to efficiently map payload coordinates to interactive UI markers\. • Implemented active geolocation state tracking to capture and continuously render the technician’s physical location in real\-time in relation to assigned jobs and facilities\. • Designed a contextual map UI featuring customized visual distinction \(via custom SVG icons and dynamic popups\) between jobs, facilities, and personnel, significantly reducing visual clutter for the end\-user\. • Automated geospatial data updates by scripting backend processes that synchronize fresh job, facility, and technician information to the front end, streamlining real\-time mapping workflows and increasing data accuracy for dispatch operations\.

## Education

B\. tech, Computer Science, Sathyabama University

SPR Residential School Yellapur

[View the original profile](https://tal.club/meet/sadu-shashank-reddy)

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