Jaanaki Dave | Portfolio

Jaanaki Dave.

Graduate student in Computer Science with recent software engineering experience at Amazon, and a strong interest in building practical, AI-driven solutions. Experienced in software development, machine learning, natural language processing, distributed systems, and cloud infrastructure. Enjoy turning ideas into end-to-end products—from mobile apps and automation tools to scalable backend services and full-stack developer tools. Curious, detail-oriented, and always eager to learn and improve.

⚡ Full Stack Developer 🤖 AI/ML Engineer 📱 App Developer 🔧 System Architect

About Me

Education

Master's of Science - Computer Science (Artificial Intelligence)

2025/01 – 2026/12

University of Southern California, Los Angeles, USA

Bachelor of Technology

2021/07 – 2024/06

SVKM's NMIMS Mukesh Patel School of Technology Management & Engineering

Academic Score: 3.61/4

Certificates

Introduction to Machine Learning on AWS

TCS ion career edge - young professional

Experience

Amazon

Software Development Engineer Intern

2026/05 – 2026/08 · Bellevue, WA

Designed and delivered an end-to-end self-service debugging platform for reproducing historical operational decisions and investigating distributed-system behavior.

Designed and delivered an end-to-end self-service debugging platform that enabled engineers to reproduce historical operational decisions without manually reconstructing distributed logs.
Engineered Java backend services and point-in-time Amazon S3 data retrieval, supporting deterministic replay across multiple execution paths with auditable decision metadata, graceful error handling, and resilient fallback behavior.
Built service APIs and a web interface that surfaced computed results, intermediate decision traces, and up to six months of historical context for root-cause analysis and feature validation.
Integrated metadata-grounded AI explanations using Amazon Bedrock while isolating generative functionality from deterministic computation to preserve system reliability and reduce unsupported reasoning.

Java AWS Amazon S3 Amazon Bedrock REST APIs Distributed Systems Full-Stack Development Historical Data Retrieval AI-Assisted Debugging

Aum Imagineering Pvt. Ltd.

Junior Software Engineer

2024/06 – 2024/11

Developed AI-powered features for enterprise applications
Implemented responsive web interfaces using modern frameworks
Collaborated with cross-functional teams for product development

NTT Data Ltd.

Product Engineering and Innovation Intern

2023/06 – 2023/10

Ocius Technologies

Software Development Intern

2021/12 – 2022/04

Technical Skills

Comprehensive expertise across multiple technology domains

💻

Programming Languages

Core languages for software development and data analysis

Python C++ Java Kotlin JavaScript R Bash SQL

🌐

Web Development

Full-stack web development with modern frameworks

HTML5 CSS3 JavaScript PHP React.js Angular Node.js

🛠️

Software & Tools

Professional development tools and environments

IntelliJ IDEA Visual Studio RStudio Android Studio Git Figma

☁️

Database & Cloud

Data management and cloud infrastructure solutions

MySQL Firebase MongoDB SQLite AWS Google Cloud

🤖

Data Science & ML

Machine learning and data analysis expertise

Jupyter Pandas NumPy TensorFlow PyTorch Tableau

📱

Mobile Development

Cross-platform and native mobile applications

Android React Native Kotlin Java

Projects

Innovative solutions combining AI, mobile development, and cutting-edge technologies

🎬

Capstone Project

MediaMinds: AI Video Generation

Revolutionary text-to-video platform that transforms articles into engaging short-form content using AI-powered image generation and audio synthesis.

              ⚡
              35% faster video creation
            

              🎯
              End-to-end automation
            

              🔊
              Voice customization
            

Python OpenCV Stable Diffusion FFmpeg NLP

View Details May 2023 – May 2024

📚

In Progress

PaperWave: Mobile Research Papers

Mobile app that transforms complex academic papers into accessible, mobile-friendly formats using advanced AI summarization and content optimization.

              📱
              Mobile-optimized reading
            

              🧠
              AI-powered summaries
            

              ⚡
              50% reduced server load
            

React Native Python AWS LangChain PyMuPDF

View Details July 2024 – Present