praneeth.dev
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Venkata Pushpak
Praneeth Anala

>

MS Computer Science candidate building scalable backends, intelligent systems, and data-driven products. I ship production microservices, design AI-powered experiences, and turn messy data into clean, useful software.

Louisville, KY
Venkata Pushpak Praneeth Anala
onlinev.2026
⚡ FastAPI
🧠 LLMs
🐍 Python
☁️ AWS
Python FastAPI ReactJS MongoDB Kafka AWS Kubernetes Jenkins OpenAI GPT-4 Google Gemini Tornado MySQL Swagger OCR Microservices
Python FastAPI ReactJS MongoDB Kafka AWS Kubernetes Jenkins OpenAI GPT-4 Google Gemini Tornado MySQL Swagger OCR Microservices
About

An adaptable engineer at the intersection of software, data, and AI.

I'm Praneeth — a Master's candidate in Computer Science at the University of Louisville, with two years of production engineering experience at ADP building enterprise-grade microservices and intelligent automation tools.

I move fluidly between roles: one week I'm designing RESTful APIs and database schemas, the next I'm wiring up OCR pipelines, integrating LLMs like GPT-4 and Gemini, or shipping React UIs. My superpower is being the person who can own a feature end-to-end — from data layer to model to UX.

I've earned ADP's Gold Shining Star twice for delivering complex projects that lifted client onboarding efficiency by 30% and cut onboarding time by 40%.

Backend Microservices
FastAPI · Tornado
Data Systems
MongoDB · MySQL · Kafka
AI Integration
GPT-4 · Gemini · LLMs
Cloud Native
AWS · Kubernetes · Jenkins
Full Stack
ReactJS · Python · Java
Shipping Velocity
30% efficiency lift
Toolbox

A stack built for range — backend, data, and AI.

Categorized for clarity. Battle-tested in production at ADP and across academic research at UofL.

Programming Languages
PythonJavaJavaScriptC
Backend Development
FastAPITornadoREST APIsMicroservicesSwagger
Frontend Development
ReactJSHTML/CSSResponsive UI
Databases
MongoDBMySQLSchema Design
AI / ML
OpenAI GPT-4Google GeminiLLMsIntent ModelsOCR
Cloud & DevOps
AWS (Developer Associate)KubernetesJenkinsCI/CD
Data Engineering
Kafka (POC)pandasPyMuPDFETL Pipelines
APIs & Integrations
Active DirectoryRESTful ServicesPostman
Tools & Platforms
Git / GitHubBitbucketJiraConfluenceVS CodeJupyter
Experience

A timeline of shipping real products.

Member Technical

ADP (Automatic Data Processing)
Hyderabad, IndiaJul 2022 – Aug 2024
  • Built RESTful microservices in FastAPI powering the end-to-end Client Onboarding platform, cutting onboarding time by 40%.
  • Migrated a legacy Tornado service to FastAPI, raising throughput and simplifying the deploy story on Kubernetes + Jenkins.
  • Designed MongoDB schemas, defined API contracts in Swagger, and led debugging / refactoring efforts that improved system quality.
  • Prototyped Kafka-based real-time streaming and integrated Active Directory for secure enterprise authentication.
  • Awarded Gold Shining Star (FY'23 Q1, FY'24 Q3) for delivery excellence and 25% operational efficiency gain.

MS Computer Science

University of Louisville — Graduate Research
Louisville, KY, USAAug 2024 – May 2026
  • Specializing in advanced algorithms, machine learning, deep learning, and cloud computing.
  • Designed and shipped UNIQUEST: an AI-powered platform helping students compare and select U.S. universities.
  • Integrated a dual-model AI chatbot (GPT-4 + Google Gemini) for tailored, real-time recommendations.
Gold Shining Star · ADP (×2)
FY'24 Q3 & FY'23 Q1 — for end-to-end delivery, production firefighting, and process improvements that boosted operational efficiency by 25%.
Selected Work

Projects that moved the needle.

Filter by domain or expand any card for the full story.

🛰️
ADP
Backend

SBS E2E Implementation

End-to-end client onboarding platform that automates data extraction, validation, and integration — cutting onboarding time by 40%.

FastAPIMongoDBKafkaJenkinsKubernetesSwagger
  • RESTful microservices in FastAPI with Swagger-defined contracts and MongoDB persistence.
  • Whiteboard sessions with stakeholders to align solutions with business outcomes.
  • Kafka POC for real-time event streaming between onboarding stages.
  • CI/CD on Jenkins + Kubernetes, plus query and code-path optimizations.
📄
ADP
AI

Doxtract

Real-time intent-based document classifier and extractor for SIT, SUI, and Payroll docs — turning unstructured PDFs into clean, queryable data.

FastAPIReactJSMongoDBpandasPyMuPDFOCR
  • Full-stack OCR pipeline: FastAPI + MongoDB + pandas + ReactJS.
  • Migrated the service from Tornado to FastAPI for higher throughput and cleaner async.
  • Active Directory integration for secure enterprise authentication.
  • PyMuPDF for PDF parsing; reusable React components for the operator UX.
🎓
University of Louisville
AI

UNIQUEST

AI-powered platform that helps students discover, compare, and select U.S. universities — with real-time data and a dual-model chatbot.

ReactJSPythonGPT-4GeminiREST APIs
  • Curated top-10 universities per state, full-institution search, and side-by-side comparison.
  • Favorites system with persisted user preferences.
  • Dual-model AI chatbot orchestrating Google Gemini + OpenAI GPT-4 for tailored suggestions.
  • Real-time data fetch with graceful fallback and instant Q&A.
AI · Data · Backend

Where intelligence meets infrastructure.

A snapshot of the kind of systems I love to build — production-grade, data-aware, and quietly AI-powered.

Intelligent Systems
Dual-model orchestration with GPT-4 + Gemini for tailored, context-aware responses.
Data Pipelines
ETL flows turning unstructured PDFs into structured records via OCR, PyMuPDF, and pandas.
Backend Architecture
FastAPI microservices with Swagger contracts, MongoDB persistence, and Kafka streaming POCs.
Automation
CI/CD on Jenkins + Kubernetes for repeatable, observable, low-touch deploys.
Analytics
Data processing with pandas to surface signal from operational document streams.
APIs & Integrations
REST + Active Directory + third-party LLM APIs stitched into secure, enterprise-ready surfaces.
praneeth@ai-stack ~
$ deploy ai-pipeline --env prod
✓ FastAPI service started on :8080
✓ MongoDB connected · pool=20
✓ Kafka POC · topic=ingest.documents
✓ Gemini + GPT-4 routers initialized
→ throughput: 4,210 docs/min · p95: 184ms
→ accuracy uplift: +32% vs baseline
ready ✦
Education & Credentials

Built on strong foundations.

Master of Science in Computer Science

The University of Louisville
Expected May 2026

Advanced algorithms, machine learning, deep learning, AI, and cloud computing.

B.Tech in Computer Science & Engineering

PACE ITS
Jun 2022

Foundations in software engineering, data structures, and systems design.

AWS Certified Developer – Associate
Amazon Web Services
Gold Shining Star FY'24 Q3
ADP
Gold Shining Star FY'23 Q1
ADP
Contact

Let's build something extraordinary.

I'm open to Software Engineering, Backend, AI/ML, Data Engineering, and Full-Stack roles.

LinkedIn
venkata-pushpak-praneeth-anala
Phone
+1 (859) 287-5123
Location
Louisville, KY, USA