Siddanth Reddy

@siddanth_6365

Developer | Debugging life

Developer | Debugging life

Skill iconPython
Skill iconJavaScript
Node.js
Skill iconTypeScript
Skill iconReact.js

Noida, India

Devfolio stats

Devfolio stats

2

projects

2

0

prizes

0

3

hackathons

3

0

Hackathons org.

0

GitHub

GitHub

377

contributions in the last year

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Jun

1 contributions on 2024-06-30
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7 contributions on 2025-06-03
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8 contributions on 2025-06-26
3 contributions on 2025-06-27
0 contributions on 2025-06-28
3 contributions on 2025-06-29
2 contributions on 2025-06-30

Work Experience

Work Experience

M

maxint

4 months


Backend developer

Sep 24' - Jan 25'

Implemented budgeting system by creating materialized views using user transactions and identify recurring bills.
Developed a transaction categorizer using an DeBERTa zero shot classification model, fine-tuned it with transaction dataset, and deployed it on an AWS sagemaker inference.
Developing a RAG chatbot from scratch using open sources models(llama,sqlcoder-2) for user queries related to their transactions and offers by generating SQL queries and matching embeddings

M

1

O

M

Backend developer

4mos

maxint, Sep 24' - Jan 25'

1

Teaching assitant

5mos

100xDevs, Dec 23' - May 24'

O

fronend developer

4mos

ONBO, Sep 23' - Jan 24'

Top Projects

Top Projects

Project Image
FrescoGuard

Empowering Choices, Reducing Waste – Your Smart Companion in Crop Preservation

Fresco Guard is a comprehensive solution that tackles key challenges within crop management and food preservation, offering a multifaceted approach to address pressing issues. At its core, the project is designed to combat the global problem of food waste by leveraging real-time spoilage predictions and actionable recommendations. This real-time monitoring system ensures that fruits and vegetables are stored under optimal conditions, significantly minimizing unnecessary spoilage and waste. One of the primary objectives of Fresco Guard is to optimize warehouse efficiency. By providing insights into storage conditions and shelf life, the project aids in making informed decisions about inventory management. This optimization not only leads to more efficient resource allocation but also contributes to the reduction of losses within the supply chain. The machine learning models employed by Fresco Guard play a pivotal role in enhancing crop quality. Through early detection capabilities, the system identifies potential spoilage factors, preventing issues such as mold or bacterial growth. This proactive approach ensures that stored crops maintain their quality, aligning with the broader goal of sustainable agricultural practices.

Project Image
CareMate

"Your Daily Health Ally, One Habit at a Time. Your Daily Guide to a Healthier and Happier YOU."

Many individuals with chronic health conditions, such as diabetes,high BP, cancer etc face challenges in effectively managing their daily health routines, including medication adherence and lifestyle changes. This often leads to complications and a reduced quality of life, highlighting the need for a user-friendly and engaging healthcare app to support their daily health management efforts.