Siddhartha Reddy

> usr_email: siddhuseelam@gmail.com
> usr_phone: (+91) 7672015134
> edu_inst: Gokaraju Rangaraju Institute of Engineering
> edu_deg: BTech in Computer Science and Engineering (Artificial Intelligence) | GPA: 8.73
> edu_grad: Expected 2027
> networks: LinkedIn, GitHub

> PHILOSOPHY: ENGINEER SCALABLE SYSTEMS AND AI-DRIVEN SOLUTIONS WITH RAW PRECISION.

> ./filter_logs.sh --stack

Timestamp

Commit / Task

Latency

Tags

Mar 2025 - Present

Xerox Automation System

12ms

React Node.js Express MongoDB

Architected a React and Node.js automation platform to streamline print pre-ordering and document workflows.
Onboarded 867 users in the first week after launch, highlighting rapid user growth and platform scalability.
Engineered a secure Express.js backend with OTP/QR authentication and integrated payment processing.
Implemented batch PDF upload pipelines to optimize high-volume document handling and request reliability.

Live Demo: zerox.studio

import express from 'express';
const router = express.Router();

// Secure backend payload validation mapping
router.post('/upload', batchPDFPipeline, authenticateOTP, async (req, res) => {
    const status = await processDocumentQueue(req.files);
    return res.status(200).json({ success: true, processed: status });
});
                        

2025

HDR Image Reconstruction CNN

48ms

PyTorch CNNs Computer Vision OpenCV

Engineered a PyTorch CNN pipeline for converting LDR images into high-fidelity HDR outputs.
Optimized image preprocessing and inference workflows using OpenCV and NumPy computer vision operations.
Developed a Streamlit application for real-time HDR generation, visualization, and image comparison.

import torch.nn as nn
import cv2 as cv # Optimization using OpenCV

class HDRReconstructionNet(nn.Module):
    def __init__(self):
        super().__init__()
        self.encoder = nn.Sequential(
            nn.Conv2d(3, 64, kernel_size=3, padding=1),
            nn.ReLU(inplace=True)
        ) # PyTorch CNN pipeline implementation
                        

2026

Stick Typing - AI Powered UI

24ms

TensorFlow/Keras BiLSTM HCI

Designed a dual-thumbstick typing interface to improve controller-based text input efficiency and usability.
Developed a TensorFlow/Keras AI engine combining BiLSTM gesture recognition with Trie autocomplete.
Implemented haptic and audio feedback systems to reduce character input errors and visual dependency.

model = tf.keras.Sequential([
    tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(128, return_sequences=True)),
    tf.keras.layers.Dense(num_characters, activation='softmax')
]) # BiLSTM gesture recognition logic
                        

Event / Extracurricular

J.P. Morgan Chase Code for Good

08ms

MERN Stack Agile

Spearheaded a 7-member agile engineering team to architect a MERN-stack application for automating leftover food distribution; delivered the solution within a highly competitive 24-hour sprint.

Event / Extracurricular

Smart India Hackathon

05ms

Frontend Architecture

Engineered the frontend architecture for an urban planning platform; directed a multidisciplinary team through requirement analysis to deliver a centralized municipal resource-sharing platform.

Event / Extracurricular

Secretary, Robotics Club GRIET

02ms

Mentorship

Orchestrated inter-college events and technical workshops by coordinating technical and creative teams; mentored junior members in end-to-end robotics project development.

> cat interests.txt

Animation, Video Editing, Filmmaking, Photography, Badminton.