Hi there! I'm Swetha Reddy Ganta.
AI Software Engineer, based in the United States

Builder of bots, breaker of limits - I make AI apps that plan your day, chat like a pro, and scale like an enterprise.

Journey

My Professional Roadmap

The path that led me to where I am today

EducationInternshipExperience

B.Tech in C.S.

Aug 2019 – May 2023

Warangal, India

Computer Vision Intern

Jan 2021 – Aug 2021

Warangal, India

Data Science Intern

May 2022 – July 2022

Hyderabad, India

AI Research Intern

Feb 2023 – Jun 2023

Warangal, India

ML Research Intern

Mar 2023 – Jul 2023

Warangal, India

Masters in UB

Aug 2023 – Dec 2024

Buffalo, NY

Prompt Engineering

Feb 2025 – Apr 2025

Remote

Software Engineer I

Apr 2025 – Present

Coppell, TX

Interactive: Hover over circles to see details and links

Experience

Professional Journey

My experience in AI research and development

Arrant Tech

Software Engineer I

Arrant Tech

Apr 2025 - Present

Led development of LifeConnect AI agent, designed cleanroom HVAC compliance platforms, and integrated Workday with RAG pipelines to accelerate decision-making. I also enhanced enterprise security by implementing OAuth/JWT systems with rate limiting to safeguard against vulnerabilities.

Community Dreams Foundation

Feb 2025 - Jul 2025

Volunteer contributor developing and refining AI prompts for ML-driven simulations, improving model reliability and collaborating on architecture optimization.

Kakatiya Institute of Technology and Science

Artificial Intelligence Research Intern

Kakatiya Institute of Technology and Science

Feb 2023 – Jun 2023

Optimized tokenization in multilingual language models, improving efficiency by 60% for non-English languages. Developed language-specific preprocessing pipelines, reducing token usage per prompt from 70-100 to 18-25.

Kakatiya Institute of Technology and Science

Machine Learning Research Intern

Kakatiya Institute of Technology and Science

Mar 2023 – Jul 2023

Engineered ML pipeline for fraud detection achieving 78% accuracy and 81% AUC using ensemble methods. Implemented data balancing and feature engineering techniques to optimize model performance on imbalanced datasets.

Projects

Featured Work

Innovative AI solutions I've developed

PlanLingo : AI-powered productivity platformView PlanLingo : AI-powered productivity platform on GitHub
Next.jsViteFastAPI

PlanLingo : AI-powered productivity platform

Duolingo taught you to speak languages. PlanLingo teaches you to speak productivity.

Transforms vague daily intentions into optimized schedules with reminders, rich visualizations, and weekly reports.

LLM RedHat ToolkitView LLM RedHat Toolkit on GitHub
Large Language ModelsLangChainStreamlit

LLM RedHat Toolkit

Enterprise-Grade LLM Deployment Platform

Built an LLM-based interactive platform integrating LangChain with enterprise data sources and custom RAG pipelines. Deployed LLM inference with Streamlit UI and Docker containers for scalable and modular access to fine-tuned models.

Intelli-ChatView Intelli-Chat on GitHub
NLPLLMsOpenAI API

Intelli-Chat

AI-Powered Conversational System

Architected scalable chatbot system processing 60,000+ documents with hybrid retrieval-augmented generation approach.

Tokenization Challenges in Multilingual GPTView Tokenization Challenges in Multilingual GPT on GitHub
NLPMultilingualGPT

Tokenization Challenges in Multilingual GPT

NLP Research & Implementation

Researched and implemented optimized tokenization for multilingual language models, improving efficiency by 60% for non-English languages.

Multi-Language Translation SystemView Multi-Language Translation System on GitHub
Seq2SeqLSTMAttention Mechanism

Multi-Language Translation System

Neural Machine Translation

Built production-ready neural translation system supporting 5+ language pairs with 85% BLEU score using sequence-to-sequence architecture.

Meme Persuasion DetectionView Meme Persuasion Detection on GitHub
Multimodal MLComputer VisionNLP

Meme Persuasion Detection

Multimodal Content Analysis

Developed multimodal classification system for detecting persuasion techniques in internet memes with 78% accuracy using BERT and ResNet-50.

Education

Academic Background

Foundation in Artificial Intelligence and computer science

University at Buffalo, State University of New York

University at Buffalo, State University of New York

Master of Science in Engineering Science

Artificial Intelligence

Aug. 2023 – Dec. 2024Buffalo, NY
Kakatiya Institute of Technology and Science, Warangal

Kakatiya Institute of Technology and Science, Warangal

Bachelor of Technology

Computer Science

Aug. 2019 – May 2023Warangal, India
Skills

Technical Expertise

Core competencies and technologies

AI & Machine Learning

TensorFlow90%
PyTorch85%
Scikit-learn95%
NLP90%
Computer Vision85%
Reinforcement Learning80%

Programming

Python95%
C/C++80%
Java75%
SQL85%
MATLAB70%

Data & Analytics

NumPy95%
Pandas90%
Matplotlib85%
Seaborn80%
Tableau75%
Statistical Analysis85%