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.

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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

Lightweight 3D signal field

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.

InsightAd

Python · PyTorch · LLMs

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

RankingExplainabilityVector Search

Mediguide

Scikit-learn · Streamlit

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

HealthcareSimilarityDecision Support

Smart Logistics Platform

OpenAI GPT-4o · Plotly

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

OptimizationForecastingAnalytics

Technical Stack

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

Languages & Tools

Python, JavaScript, TypeScript, Java, C++, SQL, Bash, Git, Postman, Linux CLI

Frameworks & Libraries

React, Next.js, Vue.js, Node.js, Flask, FastAPI, GraphQL, PyTorch, TensorFlow, Scikit-learn

Data & Analytics

Pandas, NumPy, PySpark, OpenCV, Plotly, Folium, PostgreSQL, MongoDB, Tableau, Power BI

Platforms

AWS, Azure, Oracle Cloud, Docker, Kubernetes, Vercel, GitHub 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

Washington, DC

gayathrireddykalthireddy@gmail.com

Links

GitHub LinkedIn

Achievements

Top 10 Finalist · NTT AI Data Hackathon 2022

IIIT Hyderabad Research Internship · Selected from 300+ applicants

Tech Lead · TechSavishkar (500+ participants)