Software & ML Engineer

GayathriKalthi Reddy

I design intelligent, production-ready systems that combine clean engineering with applied machine learning. From real-time analytics to AI safety layers, I build products that scale with clarity.

Explore work Contact me View resume

Years building software + ML systems

10K+

Campaign logs analyzed in real time

93%

Plant disease detection accuracy

Signal Stack

Cloud: AWS, Azure, Oracle
ML: PyTorch, TensorFlow, Scikit-learn
Web: React, Next.js, GraphQL
Data: PostgreSQL, MongoDB, PySpark
AI: GPT-4o, LangChain, OpenAI APIs

Based in Washington, DC

Open to full-time roles

Experience

Software engineering + ML impact across product, research, and analytics.

Full Stack Developer · Swipe Savvy

Aug 2025 – Jan 2026

Built an AI-powered marketing orchestration engine for 1,000+ simulated merchants, cutting API latency by 38%.
Delivered real-time analytics across 10K+ campaign logs with Next.js, NestJS, and GraphQL caching.
Shipped GPT-4 powered Analytics + Checker agents to produce insights and enforce PCI/PII-safe outputs.

Mobile Application Intern · Medfilo Inc

Jun 2025 – Aug 2025

Engineered Node.js microservices and REST workflows, reducing response latency by 20%.
Automated HIPAA-compliant PDF delivery using PDFKit, AWS S3, and signed URLs.

Technical Support Assistant · GWU

Aug 2024 – May 2025

Built an internal IT ticketing platform with automated classification workflows.
Integrated Naive Bayes NLP models to cut misclassification by 30%.
Redesigned PostgreSQL query logic to reduce latency by 28%.

Software Developer · NSL Hub

Jul 2022 – Jul 2023

Architected a distributed academic data platform, improving report throughput by 55%.
Optimized REST APIs to cut response times from 1.8s to 420ms.
Built ML pipelines using Random Forest and BERT, achieving R² 0.89 and F1 0.84.

Research Intern – ML · Vasavi Lab

Jun 2022 – Jan 2023

Fine-tuned ResNet-34 on 54K+ images, delivering 93% test accuracy.
Designed preprocessing and augmentation to reduce false positives from 12% to 6%.

Projects

Applied ML systems built for explainability, performance, and decision support.

Model Lab

Ranking AI

InsightAd

Python · PyTorch · LLMs

Two-stage ad ranking system blending probabilistic CTR prediction with LLM-powered explanations and custom vector scoring.

RankingExplainabilityVector Search

View on GitHub

Med Stream

Health ML

Mediguide

Scikit-learn · Streamlit

AI health assistant that predicts diseases from 130+ symptoms and recommends treatments with geolocation-aware hospital search.

HealthcareSimilarityDecision Support

View on GitHub

Ops Grid

Logistics

Smart Logistics Platform

OpenAI GPT-4o · Plotly

Full-stack dashboard for ML-based delay prediction, route optimization, and AI-generated shipment recommendations.

OptimizationForecastingAnalytics

View on GitHub

Technical Stack

Languages, frameworks, and platforms used to ship end-to-end systems.

Languages & Tools

PythonJavaScriptTypeScriptJavaC++SQLBashGitPostmanLinux CLI

Frameworks & Libraries

ReactNext.jsVue.jsNode.jsFlaskFastAPIGraphQLPyTorchTensorFlowScikit-learn

Data & Analytics

PandasNumPyPySparkOpenCVPlotlyFoliumPostgreSQLMongoDBTableauPower BI

Platforms

AWSAzureOracle CloudDockerKubernetesVercelGitHub Actions

Education

Deep focus on cloud, ML, and scalable systems.

George Washington University

MS in Computer Science · CGPA 3.71/4.0 · May 2025

Coursework: Cloud Computing, Big Data, Data Mining, Machine Learning, Database Systems, Algorithms, Computer Vision.

Vasavi College of Engineering

BE in Information Technology · CGPA 8.52/10 · May 2023

Coursework: Data Structures, OOP, Distributed Systems, OS, Neural Networks, AI, Web Dev, Networks.

Let’s Collaborate

Reach out for ML engineering, full-stack systems, or applied AI strategy.

Contact

Let’s build something smart together.