praneeth.dev
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Venkata Pushpak
Praneeth Anala

> ▍

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
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.

AI Engineer with 4+ years of experience building scalable backend, AI/ML, and cloud-native systems using Python, FastAPI, and React. Proven expertise in designing REST APIs, microservices, and event-driven architectures with Google Pub/Sub and webhook integrations, along with AI/ML engineering across LLM applications, RAG pipelines, and agentic workflows using LangChain, LangGraph, and MCP. Currently pursuing MS in Computer Science at University of Louisville (4.0 GPA). Twice awarded ADP's Gold Shining Star for delivering complex projects that reduced onboarding time by 60% 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/SubMicroservicesWebhooksReactJSSwagger
Databases
MongoDBMySQLRedisSQL
Cloud & DevOps
AWSDockerKubernetesCI/CDJenkinsGitGitHubPostmanJiraConfluence
AI / ML
LLMsRAGLangChainLangGraphGuardrailsVector DatabasesFAISSChromaDBPineconeMCPAgentsPrompt EngineeringGenerative AIMachine LearningNLPPyTorchHugging Face TransformersPandasNumPy
Daily Toolkit
Python
FastAPI
ReactJS
LangChain
LangGraph
PyTorch
Hugging Face
FAISS
ChromaDB
MCP
Agents
LLM
MongoDB
PostgreSQL
Redis
AWS
Docker
Kubernetes
Jenkins
Git
GitHub
Postman
Swagger
VS Code
Jupyter
Jira
Experience

A timeline of shipping real products.

Software Engineer

ADP (Automatic Data Processing)

Jul 2022 – Aug 2024
  • ▸Engineered a full end-to-end client onboarding automation platform from scratch, designing database schema, API contracts, and core business logic, reducing onboarding time by 60% and manual processing errors by 50%.
  • ▸Built a full stack OCR-based document classification and extraction tool using Python, FastAPI, MongoDB, pandas, and React, automating processing of SIT, SUI, and payroll documents via intent-based models.
  • ▸Built and deployed RESTful microservices using Python/FastAPI with Swagger documentation, and configured MongoDB for scalable data delivery across multiple production applications.
  • ▸Migrated a legacy application from Tornado to FastAPI, architecting the new framework from scratch to significantly improve performance and extensibility.
  • ▸Led a team of 4 developers, managing task allocation, conducting code reviews, and mentoring to improve code quality and team productivity.
  • ▸Implemented Active Directory-based authentication for secure, streamlined user access management.
  • ▸Built a proof of concept on Kafka for real-time data streaming and processing integration.
  • ▸Monitored CI/CD pipelines using Jenkins and Kubernetes for automated testing and continuous delivery of high-quality features.
  • ▸Utilized pandas for data processing and PyMuPDF for PDF content extraction, improving document parsing accuracy.
  • ▸Reduced software defects through systematic debugging and code optimization in Python, improving application stability across both projects.

MS in Computer Science

University of Louisville

Aug 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

Oct 2025 – Mar 2026
  • ▸Led end-to-end development of an AI-powered full-stack platform for Healthcare Revenue Cycle Management (RCM), architecting the system across the 9-step revenue cycle, from patient scheduling and insurance eligibility verification through claims submission, payment posting, and accounts receivable.
  • ▸Designed and built agentic AI tools using LangChain and LangGraph to automate RCM workflows such as prior authorization, medical coding, and denial management, significantly reducing manual effort and processing time.
  • ▸Engineered backend AI services and scalable frontend interfaces in Python, implementing RAG pipelines and MCP-based tool integrations to deliver seamless AI-assisted experiences across internal teams and clients.
  • ▸Architected and deployed cloud-native AI solutions on Google Cloud, including API integrations, automated data pipelines, and service orchestration for LangGraph-driven agentic workflows.
  • ▸Built a centralized AI platform supporting multi-level access (organization, internal teams, and clients), enabling streamlined, AI-driven workflow management.
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/SubMCPLLMsLangChainRAGOAuth 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

DocIQ

Architected and deployed a full-stack RAG application (FastAPI, React, OpenAI, LangChain, pgvector) enabling users to upload documents (PDF, DOCX, XLSX, PPTX, CSV) and receive AI-grounded answers with persistent vector storage.

FastAPIReactOpenAILangChainpgvectorRAG
  • ▸Built a hybrid retrieval pipeline (BM25 + semantic search + RRF + HyDE + re-ranking) achieving a 0.962 faithfulness score on Ragas.
  • ▸Added agentic features — intent classification, cross-document reasoning, conversation memory, hallucination checks — plus OCR support for scanned documents.
  • ▸Designed a parent-child chunking hierarchy with a custom noise filter, eliminating 5.8% of low-value chunks from a 605-page textbook to improve retrieval quality.
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

Production websites engineered with AI-driven workflows.

Real-world websites and platforms delivered using AI-assisted workflows, modern frameworks, and scalable architecture.

🎓
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
🧭
AI Built

JobIQ

AI-driven job application autopilot with real-time email tracking, interview prep, and resume intelligence powered by LLMs.

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