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Hi, I'm

Deeyan Vadwala

Software Engineer

About Me

Hi, I’m Deeyan Vadwala, a Software Engineer with a strong foundation in Python, backend development, and AI systems. I specialize in building scalable applications using Flask, REST APIs, and cloud technologies, and I have hands-on experience working with machine learning models and large language models such as LLaMA 3. Through projects and internships, I’ve focused on solving real-world problems by designing efficient, reliable, and production-ready software.

Experience

Software Engineer Intern — Prodigy InfoTech

4 month

Built a RAG + Knowledge Graph chatbot achieving sub-3s responses and reducing hallucinations by 22%.Benchmarked GPT and open-source LLMs (LLaMA, Mistral) using prompt engineering to evaluate quality and hallucination rates.Implemented cryptography + image encryption pipelines processing 100K+ pixels/characters per run.Built a Scapy packet analyzer capturing and parsing 1,000+ live packets/session for network monitoring.

AWS Cloud Computing Training

1 month

Acquired skills in deploying and managing cloud infrastructure using AWS, including EC2, S3, RDS, Lambda, IAM, and VPC. Trained in configuring, monitoring, and automating tasks within AWS, with a focus on security best practices and cost optimization. Achievements include enhancing infrastructure efficiency, security, and reducing operational costs.

Deeyan Vadwala

Recent Projects

AgroRishi

AgroRishi

Smart Farming Assistant using IoT, ML, and LLMs

  • Built Flask backend for real-time IoT sensor ingestion
  • Deployed ML models for crop disease prediction and yield analysis
  • Integrated LLaMA 3 chatbot for multilingual farmer support
  • Enabled dashboards and decision insights

Tech: Python, Flask, ML, IoT, LLaMA 3, Bluetooth

Phoenix

Phoenix

AI Voice-Controlled Virtual Assistant

  • Engineered modular Python system for voice + system automation
  • Integrated LangChain with LLaMA 3 for conversational reasoning
  • Built Flask microservices for low-latency API responses
  • Enabled web search, system control, and Q&A workflows

Tech: Python, Flask, LangChain, LLaMA 3, Speech Recognition

Virtual Closet

Virtual Closet

AI-Powered Outfit Planning Application

  • Built cross-platform Flutter app with Firebase backend
  • Developed Flask REST APIs for outfit classification
  • Integrated weather personalization using OpenWeather API
  • Improved user experience with AI recommendations

Tech: Flutter, Firebase, Flask, REST APIs

Grind Anime

Grind Anime

Frontend learning project

Beginner-friendly anime-themed site built using HTML, CSS, and JavaScript.

Skills

Programming Languages

Python
85%
Java
70%
C / C++
70%
SQL
75%
Dart
65%
HTML / CSS
75%

Frameworks & Libraries

Flask
80%
REST APIs
80%
LangChain
70%
Pandas / NumPy
75%
Flutter
65%
Scapy
60%
Bootstrap
65%
JUnit
60%

Databases

MySQL
70%
PostgreSQL
70%
MongoDB
65%
NoSQL
65%

Cloud, DevOps & Tools

AWS
65%
Docker
60%
Jenkins
55%
Git
85%
Postman
80%
Jira
70%
Linux
75%

Certificates

AWS Academy Graduate - AWS Academy Cloud Foundations

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AWS Academy Graduate - AWS Academy Machine Learning Foundations

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AWS Cloud Computing Internship

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Participation in Hackout'24

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Tutedude Flutter Course

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100 Days of Code: The Complete Python Pro Bootcamp for 2022

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Python And Flask Framework Complete Course For Beginners

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CSS, Bootstrap, JavaScript and PHP Stack Complete Course

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Badges

AWS Cloud Computing Badge

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AWS Machine Learning Badge

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Contact Me

deeyanv@gmail.com GitHub Profile LinkedIn Profile