Karunesh Upadhyay

Senior Software Engineer

Bengaluru, Karnataka, India12 yrs 11 mos experience
Highly StableAI Enabled

Key Highlights

  • Designed high-performance APIs for millions of requests.
  • Engineered real-time data pipelines with Apache Kafka.
  • Built scalable infrastructure for mission-critical applications.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in SaaS and Data Processing.

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Skills

Core Skills

AlgorithmsData StructuresApi DevelopmentJavaApache KafkaElasticsearch

Other Skills

AI ProductivityAmazon Web Services (AWS)Artificial Intelligence for BusinessBack-End Web DevelopmentCassandraDatalakeDesign PatternsGenerative AIJ2EE Web ServicesMongoDBObject-Oriented Programming (OOP)Productivity ImprovementProject ManagementPrompt EngineeringRedis

About

I have over 12 years experience in Software Industry, I’ve designed and delivered high-performance, fault-tolerant applications for Big Tech leaders. 💡 What I do best: • High-Performance APIs – Designed APIs that handle millions of requests/day with minimal latency. • Real-Time Data Pipelines – Engineered streaming platforms using Apache Kafka for instant, reliable data flow. • Scalable Infrastructure – Sharding, partitioning, caching, load balancing… all tuned for high throughput. • Resilient Architecture – Fault-tolerant systems that recover without user impact. • Modern Development – Async, reactive, and non-blocking patterns for snappy user experiences.

Experience

Lseg (london stock exchange group)

Software Technologist (Senior Lead)

Oct 2024Present · 1 yr 5 mos · Bengaluru, Karnataka, India

AlgorithmsData Structures

Cisco

Senior Software Engineer

May 2015Aug 2024 · 9 yrs 3 mos · Bengaluru, Karnataka, India · Hybrid

  • I spent nearly a decade at Cisco, working across multiple flagship products that power some of the world’s most complex and mission-critical networks.
  • Key Projects & Achievements:
  • 1️⃣ Cisco Prime Network – Network Management Platform
  • Contributed to a comprehensive network management solution handling device operations, administration, and fault management.
  • Supported both physical & virtual network elements, including compute infrastructure and large-scale data centers.
  • 2️⃣ Cisco Service Discovery Platform – Real-Time Log Processing
  • Part of the Service Discovery Storage team, processing 55M+ real-time syslog events using Apache Kafka, Redis, and Elasticsearch.
  • Designed and implemented scalable, high-performance pipelines to handle massive log volumes without downtime.
  • 3️⃣ Cisco Customer Experience (CX Cloud) – Customer Onboarding & Access Control
  • Worked on Assets & Control Point modules for customer onboarding, authentication, authorization, and role-based access control.
  • Streamlined onboarding workflows, reducing friction for customers.
  • Achieved 1.8× growth in customer onboarding rates by making the process faster and more intuitive.
  • 4️⃣ Cisco Data Lake – Centralized Data Platform
  • Built a unified data storage platform for all major Cisco applications (Webex, Duo, Intersight, etc.).
  • Created multiple ingestion pipelines from scratch, storing both raw and processed datasets for analytics and downstream processing.
  • Optimized performance by reducing data ingestion time from 1 hour 30 minutes to just 32 minutes for 150+ Intersight APIs—one of the most critical improvements in the system’s history.
  • 💡 Career Impact at Cisco:
  • Worked on platforms that scaled to millions of devices and customers globally.
  • Gained deep expertise in distributed systems, real-time processing, API performance tuning, and enterprise-scale data platforms.
AlgorithmsData StructuresApache KafkaRedisElasticsearchAPI Development+1

Vcti

Software Engineer

Mar 2013May 2015 · 2 yrs 2 mos · Bengaluru, Karnataka, India · On-site

  • Stepped into a challenging role with the Tata HPE client to help them make sense of massive volumes of device logs. My task was to build a log analytics platform that could process data and generate CPU and Memory Utilization reports using JSP.
  • This wasn’t just about generating reports—it was about understanding device behavior at scale. By identifying patterns in performance data, the platform gave the client clear visibility into when and how to scale their infrastructure.
  • The results were game-changing:
  • The platform empowered the business to scale efficiently, supporting 2.8× more customers after adoption.
  • Product revenue surged 3.1× in just six months, driven by better resource planning and improved customer experience.
  • What started as my first professional assignment became a key enabler for business growth, proving how the right data insights can transform both operations and outcomes.
API DevelopmentJava

Education

CDAC Bangalore

Postgraduate Degree — Computer Science

Jul 2012Mar 2013

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