Full-Stack Engineer · AI/ML · DevOps

G.Hanumanth Reddy.

I build across the entire stack — from React frontends to AI pipelines, from database optimization to production monitoring. The engineer who traces problems through boundaries, not around them.

Get In Touch View Work
San Jose, CA 3+ Years Production Experience MS CS · 3.8 GPA
0% Error Reduction
0% Performance Gain
0% Latency Cut
0%+ Uptime Maintained
0+ Daily Requests
0+ Students Taught
01

About

The T-Shaped Engineer

I don't fit a single box. In 3+ years, I've debugged production crises, built RAG pipelines integrating LLMs with vector databases, optimized API performance by 40%, deployed containerized systems with Docker, created monitoring dashboards, and taught 150+ students.

When the frontend blames the backend, the backend blames the database, and the database blames the network — I can trace the actual problem. That's the value of breadth built through diverse real experience.

Frontend Backend Database AI/ML DevOps QA Monitoring
Production Troubleshooting
Root Cause Analysis
Cross-Layer Debugging
Performance Optimization
System Stabilization
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Immediate Contribution

Production code in JS/TS/Python/Java, CI/CD, monitoring, testing, debugging — no ramp-up needed.

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Proven Results, Not Promises

85% error reduction, 75% performance gain, 40% latency improvement — real production metrics.

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Fast Learner

Master's 3.8 GPA, Distinguished Student Award, mastered RAG/LLMs/vector DBs while delivering features.

02

Capabilities

01

Full-Stack Development

React, TypeScript, Node.js, Express, PostgreSQL, MongoDB. Complete applications from UI to database, deployed to production serving real users.

ReactTypeScriptNode.jsExpressPostgreSQLMongoDBReduxGraphQL
02

AI/ML Systems

RAG pipelines, vector databases (Pinecone, ChromaDB), LLM integration (GPT-4, Claude API), prompt engineering, AI agents for multi-step workflows.

RAGAgentic AILLMMLPineconeChromaDBGPT-4Claude APIPrompt Engineering
03

DevOps & Infrastructure

Docker, CI/CD (Jenkins), AWS (EC2, S3, Lambda), Kubernetes basics, deployment automation, infrastructure as code. 99%+ uptime maintained.

DockerJenkinsAWSKubernetesCI/CDCloudflare
04

Monitoring & Observability

Prometheus, Grafana, Kibana, Splunk dashboards for system health. Alerting, distributed tracing, performance metrics, proactive issue detection.

PrometheusGrafanaKibanaSplunkDistributed Tracing
05

Production Troubleshooting

WebSocket crisis debugged (85% → <5% errors), API optimization (800ms → 200ms), distributed API latency cut 40%. Real fires, real pressure, real results.

Root Cause AnalysisPerformance TuningIncident ResponseOn-Call
06

Testing & QA Mindset

JUnit, Jest, Mockito, Postman. TDD, integration testing, accessibility testing (WCAG AAA). Quality embedded in engineering process.

JestJUnitPostmanTDDWCAG AAAMockito

Languages

JavaScript / TypeScript Python SQL Java Bash / Shell C++ Go
03

Experience

May 2025 — Present

Software Engineer

Intralox
AI/ML · Full-Stack

Intralox is a global leader in conveyor solutions and industrial automation, serving Fortune 500 manufacturers. Building enterprise software systems across AI agents, microservices, cloud infrastructure, event-driven architecture, and cloud data platforms.

  • Designed and integrated AI agents and RAG pipelines using Pinecone and ChromaDB with GPT-4 and Claude API - enabling context-aware automated query handling that reduced manual document triage time by 55% across enterprise operations workflows.
  • Architected event-driven microservices using async message patterns and loosely coupled service boundaries - eliminating cascading failures during peak load and enabling independent scaling across distributed cloud-native services.
  • Provisioned and managed AWS cloud infrastructure (EC2, S3, Lambda, RDS) including serverless event-driven jobs and auto-scaling policies - maintaining 99.5%+ pipeline availability and cutting infrastructure provisioning time by 40% through IaC automation.
  • Implemented backend microservices in Node.js and Python for LLM API orchestration with circuit breakers, retry logic, adaptive rate limiting, and request caching - achieving sub-400ms p95 response times under variable LLM latency conditions.
  • Designed relational and vector database schemas for high-throughput operations; built document preprocessing pipelines for chunking and embedding generation - improving semantic search retrieval precision by structuring context for downstream LLM generation.
  • Built real-time and batch cloud data pipelines connecting event streams to downstream cloud storage and analytics layers - ensuring data consistency and reducing pipeline lag to under 2 seconds for time-sensitive operational data.
  • Containerized services with Docker and maintained Prometheus/Grafana/Kibana observability stack with structured alerting - reducing mean time to detect (MTTD) incidents by 50% compared to prior reactive monitoring approach.
Aug 2023 — May 2025

Software Engineer & Teaching Assistant

University of North Texas
Full-Stack · Teaching

Dual role spanning production software engineering on university systems serving thousands of students and faculty, alongside technical instruction across Data Science and Big Data courses.

  • Maintained production university web systems achieving 99%+ uptime; deployed updates via CI/CD pipelines, managed live configuration changes, and built Python automation tooling that cut manual operational overhead by 35% for the engineering team.
  • Diagnosed and resolved infrastructure and application performance incidents end-to-end - root-cause analysis in staging, targeted fixes in production, and documented post-mortems preventing recurrence across all resolved failure modes.
  • Led WCAG AAA accessibility compliance across all key web interfaces using Stark and AChecker - remediating color contrast, alt text, keyboard navigation, and screen reader compatibility, achieving full regulatory compliance across the platform.
  • Designed and delivered hands-on labs on data pipelines, Apache Spark, Kafka, and SQL/NoSQL modeling for 150+ students per semester - giving direct exposure to distributed systems and data engineering patterns used in production environments.
  • Built Python-based automated grading tooling that reduced manual grading time by 40% and delivered faster, consistent feedback; provided systematic debugging support for code, infrastructure, and pipeline failures across 150+ students.
  • Mentored students on system design thinking, code review discipline, TDD, and clean architecture - aligned to FAANG-level hiring bar expectations, with multiple mentees receiving competitive engineering offers.
Jul 2022 — Aug 2023

Software Engineer

KLOG Solutions
Full-Stack · Production

KLOG Solutions is a logistics technology company building shipment tracking and supply chain software. Owned full-stack development of a real-time tracking platform - React/TypeScript frontend, Node.js/Express backend, MySQL database - serving 200+ daily users across shipping operations.

The Crisis

Critical production WebSocket outage (85% error rate, 200+ users affected).

The Fix

Traced reconnection storms, implemented connection pooling, retry logic, and heartbeat mechanism — dropping error rate below 5%.

  • Reduced API response time by 75% (800ms to 200ms) on high-traffic endpoints: identified missing indexes on frequently-joined MySQL tables, refactored query patterns, and tuned connection pool settings - fully resolving customer-facing performance complaints and recovering SLA compliance.
  • Built monitoring dashboards tracking API health, latency, error rates, and throughput; participated in on-call rotation with structured post-mortems - achieving zero repeat incidents from previously resolved failure modes across the production lifecycle.
  • Enforced SQL injection prevention, JWT authentication, and input validation throughout the codebase; wrote unit and integration tests (JUnit, Jest) achieving high coverage across all critical business logic and API endpoints.
  • Collaborated with product, frontend, QA, and infrastructure teams defining API contracts, translating requirements into deliverables, and communicating incident status clearly to non-technical stakeholders.
04

Projects

Full-Stack

Medium-Style Blogging Platform

Complete app: React/TypeScript frontend, Hono/PostgreSQL backend, JWT auth, deployed to Cloudflare Workers + Vercel. Sub-100ms queries for 1,000+ articles.

TypeScriptReactPostgreSQLPrismaCloudflare Workers
AI System

Intelligent Alert Handler with RAG

AI-powered alert triaging with RAG architecture — reduced manual review time by 70%. Java backend, Python microservice for LLM, ChromaDB for context retrieval.

JavaPythonRAGChromaDBLLM APIs
Backend-Heavy

Payment Processing App

P2P payment system with transaction atomicity preventing race conditions. Handles edge cases: insufficient balance, duplicate transactions, network failures.

Node.jsExpressMongoDBReact
Team Lead · IoT

Smart Parking IoT System

Led 4-person team building real-time parking platform with ML predictions. Full-stack + DevOps with WCAG compliance for inclusive design.

ReactExpressMongoDBPython MLIoT
05

Education

Master of Science

Computer Science

University of North Texas
Expected May 2025 GPA: 3.8 / 4.0
Distinguished Student Award 2025
Software Engineering Distributed Systems Machine Learning Database Systems Computer Networks Algorithms Penetration Testing
Bachelor of Technology

Computer Science & Engineering

JNTU Hyderabad, India
Graduated June 2022

Certifications & Continuous Learning

◆ 100xDevs Full-Stack Development with DevOps
◆ Meta Front-End Development Specialization
◇ Currently learning: Advanced System Design, Kubernetes, Go, Advanced AI/ML
06

Contact

Let's Build Something Great.

Available immediately. Ready to contribute from day one. Whether it's full-stack development, AI systems, DevOps infrastructure, or production troubleshooting — I bring proven results, not promises.

Email hanugopavarapu@gmail.com
LinkedIn linkedin.com/in/ghanumanthreddy
GitHub github.com/ghanureddy