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nitheshkummarc/README.md

Hi, I'm Nitheshkummar 👋

Software Engineer focused on Backend Engineering, Distributed Systems, and AI-native Software.

I build production-ready backend systems, distributed data pipelines, and AI-powered applications with a focus on scalability, performance, and reliability.

🚀 Featured Projects

🚀 Spark Failure Propagation & Root-Cause Analytics

Distributed root-cause analysis platform for Apache Spark — reconstructs execution DAGs from event logs, traces failures via Reverse BFS, and classifies failure scenarios from runtime telemetry (88.2% accuracy, 7 failure categories).

Tech: Scala • Apache Spark • PySpark • Hadoop (HDFS/YARN) • Docker

🏗️ WorkLens

Deterministic, explainable candidate ranking engine — evaluates 100,000 candidate profiles against a job specification in under 2 minutes on a single CPU core, with zero runtime network dependencies.

Tech: Python • Pydantic • Docker

🤖 Pinance

Built 2 of 3 AI agents for a multi-agent personal finance platform, enabling automated transaction analysis and market intelligence.

Tech: FastAPI • FinBERT • spaCy • Scikit-learn • PostgreSQL • Docker

📅 PlanPal

Community-driven event management platform with secure JWT authentication, role-based authorization, event participation workflows, tag-based discovery, and a PostgreSQL-backed REST API.

Tech: React • Flask • PostgreSQL • SQLAlchemy • JWT • Tailwind CSS

💻 Engineering Focus

Backend Engineering • Distributed Systems • Data Engineering • Software Architecture • AI-native Software • Performance Optimization

📫 Connect

📧 Email: nitheshkummarni@gmail.com

💼 LinkedIn: https://linkedin.com/in/nitheshkummar

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  1. Spark-Failure-Propagation-Root-Cause-Analytics Spark-Failure-Propagation-Root-Cause-Analytics Public

    Automated root-cause diagnosis for Apache Spark failures using execution DAG reconstruction, dependency-aware Reverse BFS traversal, telemetry feature engineering, and ML-based failure classification.

    Scala

  2. WorkLens WorkLens Public

    Deterministic, explainable AI candidate ranking engine, ranking the top 100 candidates from 100K profiles using capability, behavioral, and honeypot-aware scoring.

    Python

  3. Pinance Pinance Public

    Kotlin

  4. PlanPal PlanPal Public

    Full-stack event management platform featuring secure authentication, seamless event creation, registration, scheduling, and responsive dashboards for efficient attendee management.

    TypeScript