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Software Engineer

Narasimharao
Bhavirisetty

Building real-time data pipelines, event-driven systems, and blockchain intelligence platforms. Based in Andhra Pradesh, India.

About
Me

I'm a Software Engineer with 1.5+ years of experience building production-grade event-driven systems. I specialize in real-time data pipelines using Kafka, PyFlink, ClickHouse and Redis.

Currently at Spizen Technologies, I work on a Solana blockchain intelligence platform — building systems that process live trading data, detect suspicious wallet behavior, and emit real-time investment signals.

Previously at Algonox Technologies, I worked on backend automation, data cleaning pipelines, and user lifecycle management systems.

Technologies

Python Kafka PyFlink ClickHouse Redis Protobuf Solana Flask Pandas Scikit-learn MySQL AWS
Location
Narasaraopet, Andhra Pradesh
India
Education
B.Tech — Computer Science
Tirumala Engineering College · 2021–2024 · SGPA 7.86
Email
narasimharao2743@gmail.com
Status
Open to Opportunities

Where
I've Worked

01
Spizen Technologies
Software Engineer · CLR3 Ventures · Bangalore
  • Built an end-to-end Solana token intelligence pipeline with multiple streaming jobs processing Pump.fun trade and graduation events through Kafka, ClickHouse, and Redis.
  • Designed PyFlink streaming jobs with tumbling window aggregations to deduplicate high-velocity blockchain trade data with fault-tolerant checkpointing.
  • Built a wallet bot classification system using behavioral analysis to identify suspicious trading patterns.
  • Engineered a real-time composite coin scoring engine incorporating wallet quality, token quality, and market density signals.
Dec 2025 — Present
02
Algonox Technologies
Software Engineer · Hyderabad
  • Built automated email notification system for file queue transitions and failure alerts, improving SLA compliance.
  • Implemented complex business rules to clean and validate noisy data, boosting data extraction accuracy by 40%.
  • Designed automated KPI reporting system to track extraction accuracy and manual intervention rates.
  • Developed User Dormancy Management Module to manage user lifecycle states based on inactivity thresholds.
Sep 2024 — Dec 2025