About me

I'm a Software Engineer and AI/ML Enthusiast currently pursuing my Master's in Computer Science at George Mason University (May 2026). With hands-on experience at InterAgency Inc. and Société Générale Global Solution Centre, I specialize in building scalable full-stack applications, AI-powered systems, and mobile solutions.

My expertise spans across Large Language Models (LLMs), RAG systems, React Native development, and AWS cloud infrastructure. I'm passionate about leveraging cutting-edge AI technologies to solve real-world problems, from architectural document analysis to financial applications. Currently ranked in the top 15% on LeetCode with 250+ problems solved.

I bring a user-centric, data-driven approach to building innovative digital solutions, with experience in leading cross-functional teams, implementing Agile workflows, and delivering production-ready applications that have saved organizations thousands of dollars in operational costs.

What I'm doing

  • AI/ML icon

    AI/ML Engineering

    Building LLM evaluation pipelines, RAG systems, and AI-powered applications using cutting-edge technologies.

  • Full-stack development icon

    Full-Stack Development

    Creating scalable web applications using React.js, Node.js, and cloud technologies with modern architectures.

  • mobile app icon

    Mobile Development

    Developing cross-platform mobile applications using React Native and Kotlin with MVVM architecture.

  • cloud icon

    Cloud & DevOps

    Deploying and managing applications on AWS with CI/CD pipelines, containerization, and scalable infrastructure.

Current Status

🎓 Graduate Student

Master of Science in Computer Science at George Mason University (Expected May 2026)

💼 Software Engineer Intern

AI Engineer at InterAgency Inc., building LLM evaluation pipelines and RAG systems

🔍 Open to Work

Seeking Software Engineer roles in AI/ML, Full-Stack Development, and Cloud Technologies

Technical Skills

Programming Languages

Python JavaScript TypeScript Java Kotlin SQL HTML5 CSS3 PHP R C++ Shell Scripting

AI/ML & Generative AI

Large Language Models (LLMs) RAG Systems LangChain GPT-4 Vision Llama Models Mistral AI Qwen Phi Models TensorFlow Scikit-learn Keras PyTorch Pandas NumPy Matplotlib Seaborn XGBoost Random Forest SVM Logistic Regression KNN Decision Trees Neural Networks Deep Learning Computer Vision Natural Language Processing OCR Image Processing Model Evaluation Model Fine-tuning Hyperparameter Tuning Cross Validation Grid Search Braintrust SentenceTransformer Embeddings Vector Search Semantic Search

Frontend & Mobile Development

React.js Next.js React Native Redux State Management React Hooks JSX Vue.js Angular Bootstrap Tailwind CSS Material-UI Responsive Design Progressive Web Apps Mobile UI/UX Cross-platform Development MVVM Architecture Android Development iOS Development Expo WebRTC WebSockets

Backend & APIs

Node.js Express.js FastAPI Flask Django RESTful APIs GraphQL API Design Microservices Serverless Architecture Lambda Functions API Gateway Authentication JWT OAuth Session Management Rate Limiting Caching Redis Message Queues WebSocket APIs

Cloud & DevOps

Amazon Web Services (AWS) AWS EC2 AWS S3 AWS RDS AWS Lambda AWS Aurora AWS CloudFront AWS Amplify AWS Elastic Beanstalk Google Cloud Platform Microsoft Azure Docker Kubernetes CI/CD Pipelines GitHub Actions Jenkins GitLab CI Infrastructure as Code Terraform CloudFormation Load Balancing Auto Scaling Monitoring Logging Performance Optimization

Databases & Storage

MySQL PostgreSQL MongoDB SQLite NoSQL Vector Databases ChromaDB Pinecone Weaviate Database Design Database Optimization Data Modeling ACID Properties Indexing Query Optimization Data Warehousing ETL Processes Data Pipelines Big Data Apache Spark Hadoop

Development Tools & Frameworks

Git GitHub GitLab Version Control Agile Methodology Scrum Kanban JIRA Confluence Postman Swagger VS Code IntelliJ IDEA Android Studio Xcode Jupyter Notebooks Google Colab MATLAB XAMPP npm yarn pip Maven Gradle

Data Science & Analytics

Data Analysis Statistical Analysis Data Visualization Exploratory Data Analysis Feature Engineering Data Preprocessing Data Cleaning Data Mining Predictive Modeling Time Series Analysis A/B Testing Hypothesis Testing Power BI Tableau Apache Superset Metomo Analytics Google Analytics Business Intelligence KPI Tracking Dashboard Development

Security & Compliance

Data Encryption SQLite Encryption GDPR Compliance Privacy Compliance KYC Implementation Financial Regulations Secure Authentication Data Protection Security Best Practices Vulnerability Assessment Penetration Testing SSL/TLS HTTPS API Security

Hardware & IoT

Arduino RFID Technology Face Recognition Systems Biometric Systems IoT Development Sensor Integration Embedded Systems Hardware-Software Integration Raspberry Pi Microcontrollers

Soft Skills & Leadership

Team Leadership Project Management Cross-functional Collaboration Agile Workflows Problem Solving Critical Thinking Technical Documentation Code Review Mentoring Stakeholder Communication Requirements Analysis System Architecture Technical Writing Research & Development Innovation Continuous Learning

Professional Experience

Work Experience

  1. Software Engineer Intern (AI Engineer)

    InterAgency Inc. - Maryland, USA Dec 2025 - Present
    • • Engineering comprehensive multi-model evaluation pipeline benchmarking 15+ LLMs (LLaMA, Qwen, Mistral, Phi) across 7 permitting-specific task categories, improving model selection accuracy by 30%
    • • Developing RAG system using LangChain and ChromaDB vector database with 500+ regulatory documents and environmental compliance guidelines, achieving 95%+ context retrieval accuracy
    • • Creating standardized evaluation benchmark with automated scoring tools using Braintrust, running eval tests to systematically assess model performance on domain-specific consulting tasks
    • • Building distributed RAG retrieval system using ChromaDB + SentenceTransformer embeddings, enabling semantic search capabilities with <2s response time

  2. Summer Fellowship Software Engineer

    InterAgency Inc. - Maryland, USA Jun 2025 - Aug 2025
    • • Appointed as product lead on full-stack internal tool development project, coordinating with 4 developers and overseeing complete SDLC from ideation to AWS cloud deployment
    • • Developed RESTful APIs and integrated data pipelines using Node.js, Express, and MySQL with AWS RDS/Aurora backend, streamlining document handling workflows and reducing manual data entry by 40%
    • • Built preliminary AI model evaluation framework testing 15+ LLMs across multiple configurations for future consulting workflow optimization
    • • Deployed applications using AWS services: CloudFront, S3, Amplify, Elastic Beanstalk, and EC2

  3. Software Engineer (Mobile Developer)

    Société Générale Global Solution Centre - Bengaluru, India Jul 2023 - Jul 2024
    • • Launched Euphoria, a React Native & Kotlin financial app using MVVM architecture and RESTful APIs, successfully deployed to App Store & Play Store after rigorous testing with 100+ beta users
    • • Executed a proof-of-concept retail banking KYC plugin with encrypted SQLite data storage, implementing financial regulatory compliance features that saved $9,000 in outsourcing costs
    • • Enhanced app release quality by leading daily stand-ups, tracking updates, and implementing Agile workflows, improving cross-team communication efficiency by 25%
    • • Integrated critical financial services features including push notifications, analytics tracking (Metomo), and privacy compliance (Didomi)

  4. Project Intern

    Indian Institute of Science (IISc) - Bengaluru, India Mar 2023 - Jun 2023
    • • Collaborated and launched a user-friendly React and React Native application for a drone irrigation initiative, enhancing connectivity between farmers and pilots across 150+ active users
    • • Enhanced data allocation with Google Cloud data warehouse, improving pilot-farmer allocations by 30% and achieving a 20% reduction in travel and fuel expenses
    • • Created interactive dashboards using Apache Superset, Power BI, and Tableau for data visualization and process mapping
    • • Gained hands-on experience in application design, architecture documentation, and data flow optimization

  5. React Developer

    Kartexa - Delhi, India (Remote) Feb 2023 - Apr 2023
    • • Developed responsive web applications using React.js and modern JavaScript frameworks
    • • Implemented API integrations using Postman and React Hooks for dynamic data handling
    • • Collaborated with cross-functional teams to deliver user-centric web solutions

  6. AI Intern

    YBI Foundation - Remote Feb 2023 - Mar 2023
    • • Implemented various Image processing algorithms and Deep Learning models using Keras and TensorFlow
    • • Applied unsupervised machine learning for language understanding and text processing
    • • Explored techniques for deriving insights from unstructured data using tools like MonkeyLearn Studio

Projects

Architectural Document Analysis with LLMs

Python LangChain ChromaDB GPT-4 Vision OCR
  • • Built AI-powered document intelligence system processing 50+ architectural blueprints and technical drawings using GPT-4 Vision and local Llama models, achieving 70% accuracy in element detection
  • • Engineered multi-modal RAG pipeline with 10,000+ vector embeddings (ChromaDB) and OCR processing, enabling real-time Q&A with <2s response time and 95%+ context relevance
  • • Conducted comprehensive model evaluation across 8 LLMs (GPT-4V, Llama-3, Mistral) using custom prompt engineering strategies, reducing document analysis time from 45 minutes to 3 minutes

Nutrition Detection During Gestation Period Using ML Algorithms

Python Machine Learning Logistic Regression SVM Random Forest KNN
  • • Co-authored and published research paper in International Journal of Latest Research in Engineering and Management (IJLREM)
  • • Developed ML models for predicting fetal birth weights achieving 92.7% accuracy with Random Forest, 89.4% with SVM, and 87.55% with Logistic Regression
  • • Implemented comprehensive model comparison using Grid Search optimization and 5-fold Cross Validation for hyperparameter tuning
  • • Addressed critical healthcare challenge of Intrauterine Growth Restriction (IUGR) detection for early intervention and improved prenatal care outcomes

Obesity Risk Prediction Model

Python XGBoost Scikit-learn Pandas Matplotlib Seaborn
  • • Developed obesity risk prediction model using 18 features, achieving 90.03% accuracy, 90.03% recall, and 90.04% F1-score with XGBoost
  • • Preprocessed data for 34,598 records, including feature encoding, normalization, and imputation to ensure model reliability
  • • Evaluated multiple ML models, with XGBoost outperforming Random Forest (89.91%) and Decision Tree (83.79%) in predictive performance
  • • Conducted comprehensive EDA with heatmaps to identify key predictors like BMI and physical activity frequency

Attendance Management System

RFID Arduino Face Recognition Machine Learning
  • • Developed and implemented a hardware and software-based Attendance Management System to automate attendance tracking for professors and students
  • • Integrated RFID technology and facial recognition modules for dual-factor authentication
  • • Improved efficiency and accuracy of attendance tracking, reducing manual processes and human error

Euphoria - Financial Mobile App

React Native Kotlin MVVM RESTful APIs SQLite
  • • Launched production-ready financial app on App Store & Play Store using React Native & Kotlin with MVVM architecture
  • • Implemented secure KYC data management with encrypted SQLite storage and financial regulatory compliance
  • • Conducted rigorous testing with 100+ beta users and integrated analytics tracking, push notifications, and privacy compliance features
  • • Delivered cost savings of $9,000 by replacing outsourced development with in-house solution

Food Ordering Web Application

MERN Stack React.js Node.js MongoDB AWS S3 AWS EC2
  • • Constructed proof-of-concept web-based solution for food and grocery ordering using the MERN stack, enhancing user experience and order management
  • • Designed responsive UI with ReactJS and CSS, ensuring cross-device compatibility and accessibility compliance
  • • Implemented secure authentication and data management with MongoDB for restaurants, users, and orders
  • • Leveraged AWS S3 for scalable image storage and AWS EC2 for backend hosting

EasyMed - Healthcare Management System

Sep 2021 - Jan 2022
MySQL PHP JavaScript Bootstrap XAMPP
  • • Designed and maintained a comprehensive database for patient and employee details including appointments, billing, lab tests, and disease history
  • • Built responsive web interface using Bootstrap and implemented dynamic functionality with JavaScript and Ajax
  • • Developed secure data management system for healthcare operations with MySQL backend

Education & Coursework

Education

  1. Master of Science in Computer Science

    George Mason University, VA, USA Expected May 2026

    Relevant Coursework:

    • • Evaluating Generative AI Systems
    • • LLM's for Programming
    • • Data Mining
    • • Machine Learning
    • • Introduction to AI
    • • Software Engineering for the World Wide Web
    • • Object-Oriented Programming & Software Specification
    • • Database Systems
    • • Algorithms

  2. Bachelor's Degree

    Visvesvaraya Technological University 2019 - 2023

    Completed undergraduate studies with focus on Computer Science and Engineering, building strong foundation in programming, algorithms, and software development.

Key Academic Focus Areas

Artificial Intelligence & Machine Learning

Advanced study in AI systems, machine learning algorithms, neural networks, and deep learning frameworks.

Generative AI & LLMs

Specialized coursework in evaluating generative AI systems, large language models, and their applications in programming.

Data Science & Mining

Comprehensive study of data mining techniques, statistical analysis, and data-driven decision making.

Software Engineering

Advanced software specification, construction methodologies, design patterns, and system architecture.

Database Systems

In-depth study of database design, optimization, distributed systems, and modern data storage solutions.

Algorithms & Data Structures

Advanced algorithmic problem solving, complexity analysis, and efficient data structure implementation.

Achievements & Certifications

Publications

Nutrition Detection During Gestation Period Using ML Algorithms

October 2023

International Journal of Latest Research in Engineering and Management (IJLREM) - Volume 07, Issue 04

  • • Co-authored research paper on predicting fetal birth weights using advanced machine learning models
  • • Formulated ML models including Logistic Regression (87.55%) and SVM (89.4%), achieving 25% improvement in prediction accuracy
  • • Findings yielded actionable insights for tailored prenatal care strategies, contributing to maternal and fetal health research
  • • Initiated complete project lifecycle from problem definition to model development and validation

Technical Achievements

LeetCode Top 15%

Ranked in the top 15% on LeetCode with 250+ problems solved, demonstrating strong algorithmic problem-solving skills and optimization techniques applied to real-world projects.

AI Hackathon Project

Built GPT-4 Vision-powered system for architectural document parsing during AI hackathon, demonstrating expertise in multimodal AI applications and rapid prototyping.

Leadership Excellence

Coordinated 500kg+ e-waste collection drive and expanded eco-club membership by 100+, demonstrating project management and team leadership skills.

Cost Optimization

Delivered $9,000 cost savings at Société Générale by developing in-house mobile banking solutions, replacing expensive outsourced development.

Professional Certifications

Microsoft Certified: Azure AI Fundamentals

Microsoft August 2021
Computer Vision Natural Language Processing Machine Learning Microsoft Azure

IT Academy: Network Virtualization Concepts

VMware August 2021
Network Virtualization Cloud Infrastructure

Image Processing OnRamp

MathWorks August 2021
Image Processing Computer Vision

Software Engineering Virtual Experience

Goldman Sachs April 2023
Problem Solving Python Programming

Software Engineering Virtual Experience Program

JPMorgan Chase April 2023
Financial Technology Problem Solving

App Development Foundation Course

Huawei Developers July 2020
Mobile Development App Development

Artificial Intelligence & Data Science

IDEMI Mumbai, MSME TC July 2021
R Programming Data Science Artificial Intelligence

Contact

Email

shreyas.sagar10@gmail.com

Phone

+1 (571) 373-7157

LinkedIn

linkedin.com/in/shreyas-patil-39719a212/

GitHub

github.com/shreyas1903

Current Availability

Open to Work

I'm actively seeking Software Engineer roles in AI/ML, Full-Stack Development, and Cloud Technologies. Available for full-time positions starting May 2026 upon graduation, and open to internships and part-time opportunities.

Areas of Interest

AI/ML Engineering Full-Stack Development Cloud Architecture Mobile Development LLM Applications Data Engineering DevOps