// Hello World — I'm

Praneeth
Koppolu

Senior Software Engineer · AI/ML · Cloud · Full Stack

Results-driven engineer with 4+ years building production-grade systems across AI/ML, Cloud, and Full Stack domains. Hands-on with GenAI solutions, LLM integration, RAG pipelines, and enterprise-scale microservices. Eligible to work in the US (STEM OPT).

kpraneeth8@gmail.com +1 (940) 843-1593 LinkedIn GitHub

View My Work Get In Touch

Praneeth Koppolu coding at a futuristic terminal

▹ Java Spring Boot ▹ React.js ▹ Python ▹ AWS Cloud ▹ GenAI · LLM ▹ Docker ▹ Microservices ▹ CI/CD Pipelines ▹ MongoDB ▹ Spring Batch ▹ RAG Systems ▹ Next.js ▹ TypeScript ▹ Kafka ▹ Java Spring Boot ▹ React.js ▹ Python ▹ AWS Cloud ▹ GenAI · LLM ▹ Docker ▹ Microservices ▹ CI/CD Pipelines ▹ MongoDB ▹ Spring Batch ▹ RAG Systems ▹ Next.js ▹ TypeScript ▹ Kafka

☕

// 01 — About Me

The Engineer Behind the Code

I'm Praneeth Koppolu, a Senior Software Engineer with 4+ years building production-grade systems across AI/ML, Cloud, Full Stack, and Data Engineering. From fine-tuning FLUX LoRA models and RAG pipelines to architecting microservices at American Express scale — I bring both depth and breadth to every problem. Currently based in the US on STEM OPT.

Outside of shipping code, I research GenAI applications in storytelling (MythVision), mentor students in VR/AR development, and stay sharp on the latest in LLMOps and cloud-native architectures.

Years Exp.

Projects

% Code Coverage

// 02 — Projects

Things I've Built & Shipped

★ Featured

MythVision — AI Storytelling App

End-to-end GenAI application generating Indian mythology stories illustrated in a custom art style. Combines GPT-4o-mini for narrative generation with a fine-tuned FLUX LoRA model hosted on Replicate for image synthesis. Full LLMOps pipeline with prompt engineering and model versioning.

PythonStreamlitGPT-4o-miniFLUX LoRAReplicateLLMOps

Personal Project

⚙ Architecture-Aware AI

ArchAPI — Architecture-Preserving API Generator

Python library and CLI that studies an existing backend's framework, folder conventions, naming, authentication, and validation patterns before generating REST API layers that fit the codebase. Supports deterministic offline generation and optional architecture-aware LLM generation with safe dry-run previews.

PythonCLILLMRAGREST APIsPyPI

GitHub → PyPI →

🚀 AI Infrastructure

GPU Serving with NVIDIA Triton

Serve transformer models on GPU using NVIDIA Triton Inference Server. Optimized for high-throughput inference with dynamic batching, model versioning, and performance benchmarking at scale.

NVIDIA TritonGPUTransformersInference

View on GitHub →

★ Featured

MythVision — AI Storytelling App

PythonStreamlitGPT-4o-miniFLUX LoRAReplicateLLMOps

Personal Project

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Praneeth pointing at holographic project screens

⚡ Data Engineering

Realtime Ride Events Pipeline

Real-time data pipeline built with Kafka, Spark, and PostgreSQL using Docker. Streams, processes, and stores ride events in real time for analytics and insights. Production-grade architecture with fault tolerance and horizontal scaling.

PythonApache KafkaApache SparkPostgreSQLDocker

View on GitHub →

💻 Full Stack

E-Commerce Platform

Full-stack e-commerce web application with product catalog, cart management, user authentication, and payment integration. Built with modern web technologies and responsive design principles.

Full StackJavaScriptREST APIsResponsive

View on GitHub →

🤖 MLOps

MLOps Sentiment FastAPI + K8s

Train, log, deploy, and monitor an NLP sentiment analysis model like a production engineer. Full MLOps lifecycle from experiment tracking to Kubernetes deployment with FastAPI serving layer.

PythonFastAPIKubernetesNLPMLflow

View on GitHub →

⚡ Data Engineering

Realtime Ride Events Pipeline

PythonApache KafkaApache SparkPostgreSQLDocker

View on GitHub →

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// 03 — Experience

Where I've Made an Impact

CAREER TIMELINE ▶ LIVE

Jul 2026 — Present

Software Engineer — AI/ML & Full Stack

OpenRewards

Contribute across Python/Django, React, React Native, PostgreSQL, AWS, and analytics systems for a rewards platform.
Improved AI/ML business-matching workflows through transaction analysis, matching-logic refinement, and production-focused validation.
Resolved timezone-based reporting discrepancies between application dashboards and Metabase analytics.
Improved admin reward/payment workflows and fixed a React Native pagination race condition that caused duplicate activity cards.
Work across root-cause analysis, implementation, pull-request review, DEV/staging validation, QA coordination, and releases.

Oct 2025 — Jul 2026

Driver's Licensing Support Specialist

Kentucky Transportation Cabinet (KYTC) · Frankfort, KY

Maintained strict SLA compliance and high data accuracy across state and federal regulatory frameworks.
Leveraged case-management systems to track incidents and coordinate fraud detection escalations.
Identified data discrepancies in licensing records, contributing to compliance audits and identity verification.

Aug 2024 — Oct 2025

Java Full Stack Developer — AI-Enhanced Delivery

Fluxtek Solutions (Client: American Express) · Houston, TX (Remote)

Designed RESTful APIs with Spring Boot + ReactJS/AngularJS SPAs at enterprise scale.
Built AI-assisted features using GPT-4o to enhance transaction anomaly detection.
Automated data pipelines via Spring Batch with MongoDB & Oracle back-ends.
CI/CD with Jenkins & GitHub; deployed on AWS (EC2, S3, CloudWatch). 95%+ JUnit coverage.

Dec 2023 — May 2024

Research & Teaching Assistant

DVXR Labs, University of North Texas · Denton, TX

Developed 100+ Unity 3D / Computer Vision test scenarios for VR evacuation simulations.
Mentored 70 students as TA for INFO 5900 in 3D asset creation and AR/VR deployment.

Sep 2020 — Jul 2022

Production Support & Systems Engineer

Wipro (Client: Estée Lauder Companies) · Hyderabad / New York (Remote)

24/7 production support owning incidents end-to-end; met 99.9% uptime SLAs.
Root cause analysis with Splunk & AppDynamics, reducing MTTR for critical incidents.
Managed Kafka, GCP Pub/Sub, and Control-M batch schedulers for enterprise data flows.

Sep 2020 — Jul 2022

Software Engineer — Full Stack & Microservices

Wipro (Client: Vodafone) · Hyderabad, India

Built consumer-facing features with Next.js & AngularJS for Vodafone's telecom platform (millions of users).
Developed scalable RESTful microservices with Java, Spring MVC, and Hibernate.
CI/CD with Jenkins & Maven; optimised front-end performance with HTML5 & CSS3.

// Certifications

☁️AWS Cloud Quest: Generative AI Practitioner (Apr 2026)

☁️AWS Cloud Quest: Cloud Practitioner (Apr 2026)

⚙️ServiceNow Certified Application Developer

🤖UiPath Certified RPA Developer

📊Microsoft PL-300: Power BI Data Analyst (In Progress)

🔒Cybersecurity Essentials — Cisco

// 05 — Skillset

Core Competencies

🧠

Praneeth giving thumbs up with skill badges

Frontend Engineering

React.js / Next.js90%

JavaScript / TypeScript88%

HTML5 / CSS392%

Frontend Engineering 3/3

Vue.js75%

Redux / State Mgmt82%

Responsive Design90%

Frontend Engineering 2/3

AngularJS80%

REST API Integration91%

UI/UX Principles78%

Frontend Engineering 1/3

React.js / Next.js90%

JavaScript / TypeScript88%

HTML5 / CSS392%

1 / 3

Backend & APIs

Java / Spring Boot93%

Python87%

Microservices / REST91%

Backend & APIs 3/3

Spring Batch85%

GraphQL76%

FastAPI83%

Backend & APIs 2/3

MongoDB / Oracle84%

PostgreSQL82%

Apache Kafka80%

Backend & APIs 1/3

Java / Spring Boot93%

Python87%

Microservices / REST91%

1 / 3

Cloud & DevOps

AWS (EC2, S3, CloudWatch)85%

Docker / CI/CD88%

Jenkins / GitHub Actions84%

Cloud & DevOps 3/3

Kubernetes79%

Terraform / IaC72%

CloudWatch / Monitoring81%

Cloud & DevOps 2/3

Apache Spark78%

Microservices Arch.88%

Unit Testing (JUnit)86%

Cloud & DevOps 1/3

AWS (EC2, S3, CloudWatch)85%

Docker / CI/CD88%

Jenkins / GitHub Actions84%

1 / 3

AI / ML & GenAI

LLM Integration (GPT-4o)86%

RAG Systems / LLMOps82%

Fine-tuning (FLUX LoRA)78%

AI / ML & GenAI 3/3

NVIDIA Triton Inference74%

Computer Vision (Unity)76%

MLflow / Experiment Track80%

AI / ML & GenAI 2/3

Prompt Engineering88%

Streamlit / GenAI Apps84%

Replicate API79%

AI / ML & GenAI 1/3

LLM Integration (GPT-4o)86%

RAG Systems / LLMOps82%

Fine-tuning (FLUX LoRA)78%

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Praneeth Koppolu

The Engineer Behind the Code

Things I've Built & Shipped

MythVision — AI Storytelling App

ArchAPI — Architecture-Preserving API Generator

GPU Serving with NVIDIA Triton

MythVision — AI Storytelling App

Realtime Ride Events Pipeline

E-Commerce Platform

MLOps Sentiment FastAPI + K8s

Realtime Ride Events Pipeline

Where I've Made an Impact

My Tech Arsenal

Core Competencies

Praneeth
Koppolu