Open to Senior / Staff AI Engineering Roles

Hi, I'm Kasi Vandanapu

Building |

Senior Python Developer & Data Engineer with 5+ years building scalable, cloud-native AI platforms. Expert in Python · FastAPI · LLMs · LangGraph. Proven track record optimizing ETL pipelines by 60% and cutting inference costs by 50%.

LangGraphLangChainFastAPIPySparkAWS · GCPMongoDBText2SQL

Let's Connect Resume

Core Proficiency

Self-assessed expertise levels

97%

Python

93%

FastAPI

90%

LLMs / LangChain

88%

Data Engineering

85%

Cloud (AWS/GCP)

Years in Python

60%

Pipeline speedup

50%

Inference cost cut

Enterprise clients

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About Me

I build AI systems that actually ship.

Senior Python Developer & Data Engineer with 5+ years of experience building scalable, cloud-native data platforms. Expert in Python, FastAPI, and Large Language Models (LLMs). Proven track record designing microservices, leading small teams, optimizing ETL pipelines by up to 60%, and delivering actionable insights through data-driven and agentic AI solutions.

My work spans the full AI engineering stack — from architecting LangGraph agentic workflows that replace brittle rule-based pipelines, to optimizing PySpark jobs that process terabytes overnight. I care deeply about making AI systems robust, explainable, and cost-efficient in production.

Brandon, FL 33510

5+ Years Experience

Agentic AI

LLM workflows that reason and act

Data at Scale

ETL pipelines across 4+ enterprise clients

Cloud-Native

Production on AWS & GCP

Career

Where I've Made Impact

Current Role

Lead Python Developer

Virtusa · Consulting for Citi Bank

Jun 2024 – Present Tampa, FL (Remote)

LangGraphLangChainFastAPILLMsMongoDBAutoGluon

Developed LLM-powered agentic workflows within Maphub using LangGraph, LangChain, and LLMs to dynamically generate data models, configure UI elements, and enable conversational data interactions.
Designed and implemented microservices with REST APIs using FastAPI to extract, validate, transform, and load data into MongoDB and Oracle databases, supporting inputs from XLSX file and database sources.
Built Text2SQL benchmark framework to evaluate and optimize LLM performance on complex enterprise schemas using EX (Execution Accuracy) and QAS (Query Affinity Score) metrics.
Optimized schema dump token consumption via intelligent pruning, compression, and selective retrieval — reducing context length and inference costs by 50% while maintaining query accuracy.
Integrated real-time ML training and inference using AWS AutoGluon, enabling a fully UI-driven workflow for training, versioning, and deploying live prediction models in Maphub Data Studio.
Migrated data validation scripts to Python with vectorized operations, reducing execution time by 60%, deployed as a scalable microservice.

Specialist Programmer

Infosys

May 2019 – Dec 2021 Hyderabad, India

PySparkGCPPub/SubDelta LakeAirflowDatabricks

Work

Featured Projects

Click any card for a full technical deep-dive.

AI/LLMOpen Source

2024–2025

Text2SQL Benchmark

Open-Source Framework

Open-source evaluation framework for testing LLM performance on complex enterprise SQL schemas. Features composite scoring with EX + QAS metrics and intent-aware column selection.

50% token reductionEX + QAS scoringEnterprise schemas

Python ·LLMs ·SQLite +2

Deep dive

AI/LLMHackathon

2024

Wander Finds

Gemini AI Hackathon 2024

AI-driven travel app that generates hyper-personalized travel recommendations using Gemini, Google Maps, and location-aware context.

Gemini multimodalLocation-aware AIHackathon winner

Flutter ·Firebase ·LangChain +2

Deep dive

Data VizAnalytics

2023

Shark Tank Analysis

Interactive Data Dashboard

Interactive D3.js + Tableau dashboard analyzing entrepreneur participation, valuation trends, and deal patterns across all Shark Tank seasons.

All 15 seasonsGeographic heatmapsD3.js force graphs

D3.js ·JavaScript ·Tableau +2

Deep dive

MLNLP

2022

Hate Speech Detection

In-Browser ML Classifier

Real-time hate speech and offensive language detector running entirely in the browser using Pyodide — no server required.

Zero backendWASM inferenceReal-time classification

Python ·XGBoost ·TF-IDF +3

Deep dive

Expertise

Tech Stack & Skill Map

Full-stack AI engineering — from raw data to intelligent, production-deployed systems.

Core Languages

PythonJavaScriptJavaBashSQLC

AI / LLM Stack

LangChainLangGraphLLMsPrompt EngineeringText2SQLAWS AutoGluonXGBoostTF-IDFPyodide

APIs & Microservices

FastAPIREST APIsMicroservicesXLSX ProcessingData Validation

Data Engineering

Apache PySparkDelta LakeApache AirflowDatabricksETL PipelinesStreamingPandas

Cloud Platforms

AWSGCPPub/SubCloud RunBigQueryCloud BuildKubernetes

Databases

MongoDBOracleMySQLPostgreSQLDuckDBSQLite

Visualization

TableauD3.jsVega-Lite

Background

Education & Publications

Degrees

Master's in Computer Science

Northeastern University

Jan 2022 – Dec 2023 San Francisco, CA

Teaching Assistant — Database Management Systems (Fall '23)
Teaching Assistant — Human-Computer Interaction (Summer '23)
Research Assistant — List Curator (Summer '22 – Fall '23)

Bachelor of Technology in Computer Science

Amrita School of Engineering

Aug 2015 – May 2019 Coimbatore, India

Publication

“Hadoop and Natural Language Processing Based Analysis on Kisan Call Center (KCC) Data”

2018 International Conference on Advances in Computing, Communication, and Informatics

Vandanapu, K.·2018

Certifications

PCAP™ — Certified Associate Python Programmer

Python Institute

Smart Analytics, ML, and AI on GCP

Google Cloud

Get In Touch

Let's Build Together

I'm open to Senior / Staff Python & AI Engineering roles. Whether you're building an agentic system or scaling a data platform — let's talk.

kasivisu3109@gmail.com

kasivandanapu

GitHub

kasivisu4

Location

Brandon, FL 33510