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Hi, I'm Vinay Varma Pericherla ๐Ÿ‘‹

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Full-Stack Software Engineer with 3+ years building cloud-native, distributed, and AI-enabled platforms. Deep expertise in Java, Python, Go, microservices, Kafka, RAG pipelines, and AWS/Azure at enterprise scale.

// About Me

Software Engineer ยท San Jose, CA

Vinay Varma Pericherla

Software Engineer

Full-Stack Software Engineer with 3 years of deep ownership across cloud-native, distributed, and AI-enabled platforms at enterprise scale. Proven expertise in system design, microservices architecture, and scalable backend engineering using Java, Spring Boot, Python, and Go on AWS and Azure. Specialized in distributed systems, Kafka streaming, RAG pipelines, CI/CD automation, and performance optimization powering mission-critical workloads.

Englishโ€”Native

M.P.S. in Software Engineering

University of Maryland, Baltimore County

Aug 2022 โ€“ Jun 2024 ยท Baltimore, MD

Certifications

AWS Certified Cloud Practitioner

Oracle Certified Professional โ€“ Java SE

Google Cloud Associate Engineer

// Work Experience

Software Engineer with 3+ years building distributed systems and cloud-native solutions

Cisco  |  Software Engineer

Sep 2024 โ€“ Present ยท San Jose, CA
  • Engineered high-throughput distributed data pipelines using Java, AWS EMR, and Apache Spark to process 1.2TB of daily network telemetry, enabling real-time threat detection via streaming aggregations, window functions, and anomaly scoring at massive scale.
  • Designed agentic AI workflows using Python and LLMs to automate end-to-end security alert correlation, reducing false-positive triage time by 15% through intelligent alert grouping, contextual RAG-based retrieval, and automated root cause analysis on live event streams.
  • Architected serverless microservices using AWS Lambda, SQS, and Fargate with Spring Boot REST APIs, automating vendor onboarding and security auditing pipelines โ€” cutting manual processing overhead by 25% while enforcing schema validation and full audit logging.
  • Led system design, performance optimization, and rigorous code reviews for scalable Java and Python backend services, enforcing SOLID principles and distributed tracing via DynaTrace and Splunk to maintain 99.9% SLA across all mission-critical security applications.
  • Conducted resilience testing including chaos engineering, load testing, and vulnerability assessments on core security libraries, identifying and remediating critical failure points to ensure fault tolerance and zero data loss across distributed cloud environments.
  • Owned full CI/CD lifecycle using Jenkins, GitHub Actions, Docker, Kubernetes, and Helm, implementing blue-green deployments and automated regression gates that accelerated release velocity by 3x with zero unplanned production outages.

Humana (Tata Consultancy Services)  |  Associate Software Engineer

Aug 2021 โ€“ Aug 2022 ยท Hyderabad, India
  • Developed Java Spring Boot microservices on SAP BTP for healthcare member enrollment and claims management, processing 15,000+ clinical records per cycle with 99.95% uptime via circuit breakers, retry logic, and thread-safe concurrency patterns.
  • Designed RESTful APIs with OAuth2 and JWT authentication and RBAC authorization, integrating PostgreSQL and MongoDB to support flexible multi-tenant healthcare data models with consistent sub-300ms p95 query latency under load.
  • Optimized complex SQL queries with composite indexing, query plan analysis, and Redis caching layers, reducing retrieval latency by 40% and cutting peak read load on primary PostgreSQL instances by 35% under sustained high-concurrency production traffic.
  • Implemented Kafka event-driven messaging for real-time claims status updates across downstream microservices, applying idempotency keys and DLQ patterns to guarantee exactly-once delivery and fault-tolerant async processing under peak load.
  • Built JUnit and Mockito test suites achieving 85%+ code coverage with TDD principles, and automated Jenkins CI/CD pipelines via Git and Docker โ€” reducing overall release cycle time by 30%.
  • Enforced HIPAA compliance with field-level PII encryption, structured JSON audit logging, and role-based data masking across all REST endpoints, backend services, and NoSQL data stores.

// Skills

Distributed systems, cloud-native engineering, and full-stack development

Java
Python
GoGo
JavaScript
TypeScriptTypeScript
C#
C++C++
ScalaScala
SQLSQL
BashBash
AWS
Azure
GCPGCP
Lambda
AWS SQS
AWS EMR
ECS/Fargate
Docker
KubernetesKubernetes
HelmHelm
TerraformTerraform
Apache SparkApache Spark
KafkaKafka
Linux
LLMs
RAG Pipelines
Agentic Workflows
Vector Databases
Embeddings
NLP
Scikit-learnScikit-learn
ML Pipelines
Git
JenkinsJenkins
GitHub ActionsGitHub Actions
Spring BootSpring Boot
gRPC
RedisRedis
MongoDBMongoDB
PostgreSQLPostgreSQL
SplunkSplunk
DynaTraceDynaTrace
JUnit/Mockito
Agile/Scrum
Distributed Systems
Microservices
System Design
Event-Driven Arch
TDD
DSA

// My Work

Projects from github.com/vinay0304

Distributed File Storage System

Fault-tolerant distributed key-value store in Go using gRPC, consistent hashing with virtual nodes, and primary-backup replication. Handles 500+ concurrent requests at sub-millisecond latency.

GogRPCProtocol BuffersDockerConsistent Hashing

Real-Time Sentiment Analysis Engine

Live tweet ingestion pipeline using Kafka producer/consumer, Spark Streaming for processing, MongoDB for persistence, and a Flask dashboard for real-time sentiment visualization.

PythonKafkaSparkMongoDBFlaskTwitter API

ML Course Predictor

Predicts graduate course suitability and admission chances from academic profiles using ensemble ML models and semantic similarity via Sentence-Transformers. Interactive Streamlit UI.

PythonScikit-learnSentence-TransformersStreamlitPandas

AI Operations Dashboard

Interactive analytics dashboard for monitoring AI model performance, costs, and resource utilization. Features KPI tracking, latency trend charts, automated anomaly detection, and CPU/GPU monitoring.

PythonStreamlitPlotlySQLitePandas

Gym Logger

Full-featured workout tracking app to log exercises, sets, weights, and reps. Categorized by muscle group with progress history, edit support, and password-protected data reset.

PythonStreamlitPandas

Gym Logger BETA

Next iteration of the Gym Logger with enhanced features and improved UX. Built with Python and Streamlit for a seamless workout tracking experience.

PythonStreamlitPandas

// Contact Me

Get in touch and let's work together

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