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.

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United States
Venkata Pushpak Praneeth Anala
onlinev.2026
⚡ FastAPI
🧠 LLMs
🐍 Python
☁️ AWS
Python FastAPI LangChain RAG FAISS LLMs MCP OpenAI GPT-4 Google Gemini ReactJS MongoDB Kafka AWS Kubernetes Jenkins OCR
Python FastAPI LangChain RAG FAISS LLMs MCP OpenAI GPT-4 Google Gemini ReactJS MongoDB Kafka AWS Kubernetes Jenkins OCR
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 cut onboarding time by 60%, reduced manual errors by 50%, and boosted operational efficiency by 25%.

Backend Microservices
FastAPI · Tornado
Data Systems
MongoDB · MySQL · Pub/Sub
AI / GenAI
LLMs · RAG · LangChain · MCP
Cloud Native
AWS · Kubernetes · Jenkins
Full Stack
ReactJS · Python · Java
Shipping Velocity
60% faster onboarding
Toolbox

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

Categorized for clarity. Battle-tested in production at ADP and across applied AI projects.

Languages
PythonJavaCJavaScript
Backend & Frameworks
FastAPITornadoREST APIsEvent-Driven ArchitectureAsync ProgrammingJWTOAuthGoogle Pub/SubMicroservicesWebhooksReactJS
Databases
MongoDBMySQL
Cloud & DevOps
AWSDockerKubernetesCI/CDJenkinsGitGitHub
AI / ML
LLMsRAGLangChainLangGraphGuardrailsVector DatabasesFAISSChromaDBPineconeMCPAgents
Experience

A timeline of shipping real products.

Member Technical

ADP (Automatic Data Processing)
Hyderabad, IndiaJul 2022 – Aug 2024
  • ▸Built enterprise web apps for client onboarding and intelligent document processing.
  • ▸Designed scalable FastAPI microservices and REST APIs backed by MongoDB, with XML/XSLT integrations.
  • ▸Shipped OCR + PyMuPDF pipelines for automated document extraction and validation.
  • ▸Set up CI/CD on Jenkins + Kubernetes and ran a Kafka/RabbitMQ POC for event-driven streaming.
  • ▸Awarded Gold Shining Star ×2 — 60% faster onboarding, 50% fewer manual errors, 25% operational efficiency gain.

MS in Computer Science

University of Louisville
Louisville, KY, USAAug 2024 – May 2026
  • ▸Pursuing MS in Computer Science with focus on AI, ML, and scalable backend systems.
  • ▸Specializing in algorithms, ML, deep learning, cloud computing, network security, and AI security.
  • ▸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.
  • ▸Building GenAI projects with LangChain, LangGraph, RAG, and MCP alongside coursework.

AI Engineer

Trevexa Health Solutions
Louisville, KYOct 2025 – Mar 2026
  • ▸Built and deployed a responsive healthcare website for Trevexa Health Solutions.
  • ▸Used AI-powered workflows to accelerate frontend delivery, build reusable components, and refine UI/UX.
  • ▸Owned end-to-end delivery: app structure, responsive design, production build, hosting, and deployment.
  • ▸Partnered with stakeholders on requirements, performance tuning, and scalable enhancements.
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 automation — cut onboarding time by 60% and manual processing errors by 50% via automated extraction, validation, and system integration.

FastAPIMongoDBKafkaRabbitMQXML/XSLTJenkinsKubernetesJira
  • ▸RESTful microservices in FastAPI with Swagger-defined contracts, database schema design, and API contracts.
  • ▸MongoDB for efficient storage and frontend support; XML/XSLT for data transformation and external system integration.
  • ▸POC with Kafka and RabbitMQ for potential real-time data streaming.
  • ▸Agile delivery with Jira and Confluence; CI/CD on Jenkins + Kubernetes for automated testing and continuous delivery.
  • ▸Reduced defects and optimized performance via debugging, refactoring, and query tuning.
📄
ADP
Full Stack

Doxtract

Real-time intent-based classification and extraction tool for SIT, SUI, and Payroll documents — automating processing and improving accuracy.

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 content extraction; reusable React components for the operator UX.
🧭
Personal
AI

JobIQ

End-to-end AI-driven app that auto-tracks every job application with resume intelligence, interview prep, tech news, and job search.

PythonFastAPIGoogle Pub/SubMCPLLMsOAuth 2.0JWT
  • ▸Event-driven Gmail monitoring agent using Google Pub/Sub push webhooks and MCP — auto-detects and classifies application emails (applied, interview, offer, rejection) in real time.
  • ▸Parallel AI workflows across multiple LLMs for role-specific interview questions, company insights, STAR responses, and ATS-based resume evaluations with semantic matching and skill-gap analysis.
  • ▸Secure OAuth 2.0 with JWT and refresh tokens; concurrent multi-source job aggregation with caching and rate-limit handling.
  • ▸Personalized tech news feed powered by user skills, resume data, and target-company preferences.
Demo
🎓
University of Louisville
AI

UNIQUEST

Full-stack AI-powered university discovery platform that helps students explore, compare, and select U.S. universities with personalized recommendations.

ReactJSFastAPIMongoDBGPT-4GeminiREST APIs
  • ▸ReactJS + FastAPI + MongoDB with OpenAI and Gemini models for real-time institutional data.
  • ▸Dual-model AI chatbot with parallel model inference for personalized university insights and admission guidance.
  • ▸REST API integrations, favorites, side-by-side comparison, and instant Q&A.
Code Demo
📚
Personal
AI

AI-Powered Q&A System

RAG system delivering context-grounded answers from large unstructured document sets, with an LLM-as-judge evaluation pipeline for continuous quality tracking.

PythonPineconeOpenAIRAGEmbeddingsLLM-as-Judge
  • ▸Pinecone as the vector database with OpenAI LLMs for accurate, hallucination-reduced responses.
  • ▸Semantic search via embedding-based retrieval — top-k chunks injected into LLM prompts for grounded answers.
  • ▸LLM-as-judge evaluation scoring each answer for faithfulness and relevance against retrieved context.
  • ▸Low-confidence answer flagging below a defined accuracy threshold for continuous RAG quality monitoring.
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 ✦
▍
AI-Powered Development

Sites built with AI assistance.

Real-world websites and platforms developed leveraging AI tools, modern frameworks, and intelligent design workflows.

🎓
AI Built

UNIQUEST

AI-powered university discovery platform with dual-model chatbot orchestrating Gemini + GPT-4 for personalized recommendations.

Visit Site
🚀
AI Built

Anjani Digitals

Modern digital agency website built with AI-assisted design workflows, sleek animations, and responsive architecture.

Visit Site
🏥
AI Built

Trevexa Health

Health-tech platform delivering seamless user experiences with AI-enhanced content and modern web technologies.

Visit Site
Education & Credentials

Built on strong foundations.

Master of Science in Computer Science

The University of Louisville, KY, USA
Aug 2024 – May 2026 · GPA 4.0/4.0

Specialization: Algorithms, Machine Learning, AI, Deep Learning, Cloud Computing, Network Security, AI Security.

B.Tech in Computer Science & Engineering

PACE Institute of Technology & Sciences, India
Jun 2018 – Jun 2022 · GPA 8.8/10

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

Generative AI with LLMs
DeepLearning.AI
Career Essentials in Generative AI
Microsoft
Model Context Protocol (MCP)
Microsoft
AI Fluency: Framework & Foundations
Anthropic
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
Location
United States