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Shreya K Reddy

@shreyakreddy

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AI Software Engineer building GenAI, LLM, RAG, backend, and full-stack applications with Python, FastAPI, and React.

India

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What I'm looking for

I'm looking for Software Engineer, AI Engineer, Backend Engineer, and Full-Stack Developer opportunities where I can build GenAI-powered applications, develop scalable backend APIs, work with LLMs and RAG systems, and deliver impactful products. I enjoy solving real-world problems, collaborating with engineering teams, and continuously learning modern AI technologies.

I'm an AI Software Engineer with a strong foundation in Python, FastAPI, React, Machine Learning, and backend development. I enjoy building intelligent applications powered by Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI APIs.

My projects include an AI Career Copilot for ATS resume analysis and interview preparation, an AI Research Assistant for document search and summarization, an AI SQL Query Generator that converts natural language into SQL queries, an AI Healthcare Assistant, and a Financial Fraud Detection system trained on over 6.3 million transactions.

I build scalable REST APIs with FastAPI, develop responsive React frontends, integrate OpenAI APIs and LangChain workflows, and work with SQL, MongoDB, Git, and cloud deployment platforms such as Vercel and Render.

I'm currently seeking remote Software Engineer, AI Engineer, Backend Engineer, and Full-Stack Engineer opportunities where I can contribute to building impactful AI-powered products while continuing to grow as an engineer.

Experience

Work history, roles, and key accomplishments

Artificial Intelligence Intern

Codec Technologies

Feb 2026 - May 2026 (3 months)

Worked on AI-powered and full-stack application development using Python, FastAPI, and React. Developed REST APIs, integrated Large Language Model (LLM) workflows using OpenAI APIs and LangChain, and contributed to backend services and frontend features. Collaborated using Git, debugged applications, and delivered scalable solutions following software development best practices.

Python fastAPI React Machine Learning Langchain Agents OpenAPI OpenAI API OpenAI REST APIs RESTful APIs Git SQL MongoDB

AI Healthcare Assistant

Jan 2026 - Mar 2026 (2 months)

Built an AI healthcare assistant for symptom analysis and healthcare recommendations using NLP-based conversational workflows. Developed scalable backend APIs and interactive frontend dashboards to deliver context-aware healthcare insights.

Python fastAPI React NLP Symptom Analysis API Development

AI Research Assistant

Dec 2025 - Feb 2026 (2 months)

Designed an AI-powered research assistant for intelligent document querying and summarization. Implemented RAG pipelines with LangChain and vector databases, with FastAPI APIs and a React frontend for real-time AI responses.

Python fastAPI Faiss React Retrieval Augmented Generation (RAG)Vector Databases Lang Chain

AI Career Copilot

Nov 2025 - Jan 2026 (2 months)

Developed an AI-powered career assistant for ATS resume analysis and interview preparation workflows. Built a scalable FastAPI backend integrated with OpenAI APIs and LangChain, plus a responsive React frontend deployed on Vercel and Render.

Python fastAPI React MongoDB OpenAI API LangChain REST APIs Render Lang Chain

AI SQL Query Generator

Aug 2025 - Oct 2025 (2 months)

Developed an AI-powered SQL query generator that converts natural language prompts into executable SQL queries. Built a React + FastAPI app with dynamic query execution, query history tracking, and interactive tabular results using SQLite.

React fastAPI SQLite Python Query Execution Backend Development Data Visualization

Financial Fraud Detection

May 2025 - Jul 2025 (2 months)

Engineered machine learning models for fraud detection on 6.3M+ financial transaction records. Performed preprocessing and feature engineering, and evaluated performance using precision, recall, F1-score, and ROC-AUC.

Python scikit learn Pandas NumPy Fraud Detection Feature Engineering Model Evaluation ROC AUC

Parkinson’s Voice ML Study

Early Detection of Parkinson’s Disease

Conducted comparative machine learning model analysis for early Parkinson’s disease detection using acoustic voice feature datasets. Evaluated preprocessing, feature scaling, and model optimization approaches for classification performance.

Machine Learning Healthcare Analytics Voice Feature Analysis data preprocessing Scaling Classification Optimization Model Comparison

Education

Degrees, certifications, and relevant coursework

Dayananda Sagar University

Bachelor of Technology, Computer Science

2022 - 2026

Grade: CGPA: 9.33 / 10.0

Activities and societies: Relevant coursework: Data Structures & Algorithms, Machine Learning, Artificial Intelligence, DBMS, Operating Systems, Computer Networks.

B.Tech in Computer Science at Dayananda Sagar University (2022–2026), achieving a CGPA of 9.33/10.0. Coursework includes Data Structures & Algorithms, Machine Learning, Artificial Intelligence, DBMS, Operating Systems, and Computer Networks.