Software Engineer at Cisco

I build resilient backends and cinematic digital experiences

Spring Boot, machine learning, and competitive-grade algorithms — shipped with SonarQube A+ discipline and human-centered motion.

I shape digital systems with editorial precision

Cisco Systems

CCRC caching, BotService AI APIs, Snowflake ML — 20% latency cut.

99

GATE percentile · rank 1501

Expert

Codeforces · 6-star CodeChef

HackerEarth

60+ DSA problems · 10M lines/sec test generator · 30+ interviews.

NIT Durgapur · B.Eng. Computer Science · GPA 8.00

Spring Boot Python Snowflake GSAP C++ Django SonarQube Docker Spring Boot Python Snowflake GSAP C++ Django SonarQube Docker

Professional experience

Enterprise platform engineering and assessment infrastructure — from production APIs to global contest quality.

Current

Cisco Systems

Software Engineer

Jan 2025 — Present

  • Engineered a high-performance local caching mechanism in Spring Boot for the main Cisco CCRC webpage, reducing latency and improving performance by ~20%.
  • Developed multiple Spring Boot APIs connecting BotService to the CCRC webpage, spearheading AI automation integration for operational efficiency.
  • Refactored and optimized critical codebases to achieve an A+ SonarQube quality rating, improving maintainability and reducing technical debt.
  • Implemented ML anomaly detection in Snowflake databases for attribute-level error monitoring, achieving 90%+ accuracy on production data.
  • Developed and maintained scalable enterprise REST APIs using Spring Boot, collaborating with cross-functional teams to deliver robust solutions.

Previous

HackerEarth

Software Engineer Intern

Jun 2024 — Dec 2024

  • Created 60+ high-quality DSA problems for online assessments, focusing on diverse algorithmic topics.
  • Reviewed and corrected 150+ problem suites across C++, Python, Java, and Golang.
  • Built a highly efficient test-case generator capable of generating 10 million test-case lines per second.
  • Conducted 30+ technical interviews, evaluating DSA knowledge for engineering intern roles.
  • Optimized problem difficulty distribution and enhanced assessment quality metrics for global contests.

I engineer high-performance caching layers, integrate AI into enterprise workflows, and author assessment infrastructure at global scale.

Depth across the stack

Languages

C, C++, Python, SQL, JavaScript

Production backends and competitive tooling.

Systems

Distributed systems & ML

Snowflake anomaly detection, Spring microservices.

Leadership

Cross-functional delivery

Interviews, mentoring, contest design at HackerEarth.

Competitive milestones

Rankings and credentials from contests, academics, and global platforms.

GATE 2025

99%

Percentile · Rank 1501 of 210,000

Codeforces

Expert

1850+ · Top 300 global in 3+ contests

CodeChef

6 Star

Top 0.2% worldwide

LeetCode

Guardian

Top 1% on platform

NIT Durgapur

Rank 1

Advanced Algorithms course

Meta Hacker Cup 2024

#1375

Top 5% · Top 2000 finish globally

Built for teams that care about quality

Rupanuga Prasad Mishra

"Delivers enterprise APIs with measurable quality gains — SonarQube A+ and production-grade ML accuracy."

Engineering focus · Cisco CCRC platform
HackerEarth platform engineering

"Authored assessment infrastructure at scale — 60+ problems and generators hitting 10M lines per second."

Platform engineering · HackerEarth
Academic and competitive achievements

"Top-tier algorithmic discipline — GATE 99th percentile and global contest rankings across three major platforms."

Academic & competitive record

Let us build something ambitious together

Open to full-time roles, collaborations, and technical conversations.