Actively seeking full-time roles · AI/LLM Engineering · ML Engineering · Data Science

Phaneendra Gavara

I'm a|

Building production AI and data systems end to end: LLM pipelines, RAG applications, predictive ML models, and scalable data workflows.

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Phaneendra Gavara

About Me

Open to work

I'm Phaneendra, an AI/ML engineer and data scientist who just graduated from ASU (May 2026, GPA 3.90/4.0). I build things that actually work: agentic workflows with LangGraph and Claude, RAG pipelines, MCP integrations, predictive ML models, and production data pipelines. Originally from Visakhapatnam, India, now based in Tempe, AZ and actively looking for my next role in AI/ML Engineering, Data Science, or Data Engineering. Outside of engineering, I enjoy cricket, board games, and solving puzzles. I believe the best engineers are curious humans first.

ASU · M.S. Data Science · GPA 3.90Tempe, AZ · Open to relocateFull-time · No sponsorship required

Portfolio

Projects

Data Engineering / Cloud AI

InsightHub — AI-Powered Business Analytics Platform

Full-stack Azure analytics platform ingesting 230,000+ rows through a star-schema ETL pipeline, serving insights via FastAPI, a React dashboard, and a GPT-4o RAG search engine — fully deployed and live.

PythonFastAPIAzure SQL DatabaseAzure Blob StorageAzure OpenAI (GPT-4o)+11
DetailsLive
MLOps / LLM Evaluation

ASU LLM Evaluation Pipeline

Automated CI/CD pipeline that scores a university RAG chatbot across 100 test questions on every code push, enforcing 6 quality gates with results streamed to a live React dashboard.

PythonLangChainRAGASOpenAI GPT-4oPinecone+5
DetailsCode
ML / Optimization

TravelIQ — AI Travel Itinerary Generator

AI-powered travel planner that builds a complete, feasibility-checked itinerary in under 90 seconds — combining ML outfit recommendations, image generation, VRPTW routing, and GPT-4o checks via SSE streaming.

PythonFlaskOR-Toolsscikit-learnSARIMAX+5
DetailsCode
Agentic AI / Full-Stack

Republic of Bean — Agentic AI Ordering System

Multi-agent conversational ordering system using LangGraph with Claude as orchestrator, exposing PostgreSQL-backed internal APIs to the LLM via Model Context Protocol (MCP).

LangGraphClaude APIFastAPIPostgreSQLModel Context Protocol (MCP)+1
DetailsCode
Computer Vision

Anomaly Detection in Crowds

CNN-based crowd safety system that learns normal behavior from video and flags anomalies in real time with frame-level heatmaps.

PythonDeep LearningCNNsPyTorchOpenCV+1
DetailsCode

Expertise

Skills

PythonPython
TypeScriptTypeScript
ReactReact
Next.jsNext.js
FastAPIFastAPI
PyTorchPyTorch
scikit-learnscikit-learn
PostgreSQLPostgreSQL
AzureAzure
DockerDocker
🧠

Agentic AI & LLMs

LangGraphLangChainClaude APIGPT-4oModel Context Protocol (MCP)Tool/Function CallingMulti-Agent OrchestrationRAGPrompt EngineeringMemory & Context Management
🛡️

AI Evaluation & Guardrails

RAGASAutomated Evaluation SuitesQuality GatesFaithfulness & Hallucination Rate ScoringLatency p95 MonitoringCost-per-Query TrackingAudit Logging
🛠️

Full-Stack Development

FastAPIPydanticReact 18Next.js 14TypeScriptNode.jsREST API DesignJWT AuthRBACPostgreSQLAzure SQL
📊

Data & ML

PandasNumPyscikit-learnPyTorchCNNsOR-ToolsSARIMAXDistilBERTPineconeETL PipelinesStar Schema DesignColumnstore Indexing
☁️

Cloud & DevOps

Azure OpenAIAzure SQL DatabaseAzure AI SearchAzure App ServiceAzure Key VaultAzure Blob StorageAWS LambdaAWS S3AWS EC2GCP BigQueryGCP Vertex AIVercelDockerGitGitHub ActionsCI/CDBicep IaCMLflowJIRA
⌨️

Languages

PythonSQLTypeScriptJavaScriptRC++
65 technologies across 6 categories

Beyond the Resume

A few things that make me, me.

Favourite Movies
A Man Called OttoThe Pursuit of Happyness
Favourite Actors
Pawan KalyanTom HanksTom CruiseCillian Murphy
Hobbies
SportsBoard gamesSolving puzzles
Favourite Sport
Cricket
Favourite Color
Navy Blue