Shubham Parida

CS Student · AI/ML Engineer · Backend Developer

Shubham Parida

Software Engineer & Builder

Building software that solves real-world problems.

I specialize in backend systems, real-time applications, and distributed architecture. From building embedded IoT networks to integrating machine learning into scalable software products, I focus on delivering robust and efficient solutions.

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Competition
Hackathon Winner
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Innovation
AIR 2 Innovator
article
Research
Published Author
handshake
Consulting
5+ Faculty Clients
school SOA University (ITER) · B.Tech CSE · CGPA 8.35
location_on Bhubaneswar, India · Expected Graduation May 2028
Scroll to explore keyboard_arrow_down

Experience

Latest
Jul 2026 – Present

Software Development Intern

RateGain Travel Technologies Ltd.

Hybrid (Remote + Noida, India) · 6 Weeks

Responsibilities

  • arrow_right Collaborating with the engineering team on real-world software development tasks
  • arrow_right Contributing to product features, debugging, testing, and code improvements
  • arrow_right Participating in code reviews, team meetings, and agile development processes

Achievements

  • stars Worked on production-level software in a leading travel technology SaaS company
  • stars Gained hands-on experience with professional software development workflows
  • stars Collaborated with experienced software engineers in a hybrid engineering environment
Tech Stack to be updated
Apr 2025 – Present

Freelance Academic LaTeX Consultant

Self-employed · 5 college faculty clients

  • check_circle Automated LaTeX workflows for IEEE, Springer & Elsevier journals
  • check_circle Reduced document preparation time by ~60% with custom templates
  • check_circle Created Beamer presentation templates & structured BibTeX bibliographies
  • check_circle Formatted algorithms, figures, tables & multi-column layouts
LaTeX IEEE Springer Elsevier Beamer BibTeX

Projects

Click any project to expand details, tech stack, and links.

Research-driven & engineering-focused

Overview

A multiplayer location-based survival game where player interactions happen according to real GPS positions. Built a GPS proximity detection engine using the Haversine formula for accurate player collision and zone detection. Designed real-time multiplayer synchronization achieving sub-second latency for multiple concurrent players.

Key Features

  • check_circle GPS proximity engine using Haversine formula for accurate geofencing
  • check_circle Real-time multiplayer sync via self-hosted WebSocket backend
  • check_circle Live zone entry/exit events & player elimination system
  • check_circle Sub-second synchronization for multiple concurrent players

Tech Stack

Node.js Socket.io WebSocket JavaScript

Highlights

speed
Sub-second sync
Multi-player latency
emoji_events
HackFest-26 Winner
1st Place · 200+ teams

Overview

A REST API that classifies text into 13 emotion categories using a CNN + Sentence-BERT ensemble. Deployed on Hugging Face Spaces with a FastAPI backend achieving sub-250ms inference. Includes full evaluation pipeline: F1 score, precision/recall analysis, confusion matrix visualization, and class imbalance handling.

Key Features

  • check_circle 13-class emotion classification with CNN + Sentence-BERT ensemble
  • check_circle Deployed on Hugging Face Spaces with FastAPI REST API
  • check_circle Sub-250ms inference · JSON response formatting
  • check_circle Full evaluation: F1, precision/recall, confusion matrix, class imbalance handling

Tech Stack

Python TensorFlow FastAPI Hugging Face Sentence-BERT

Results

psychology
13 emotion classes
Full taxonomy classification
speed
< 250ms inference
Production REST API

Overview

An AI image generation pipeline that continuously monitors market trends and adapts Stable Diffusion image generation prompts in real time. Scraped over 10,000 daily data points via AJAX & infinite scroll scraping, structured them into JSON/CSV pipelines, performed sentiment analysis, and fed the results into real-time img2img Stable Diffusion transformations.

Key Features

  • check_circle Scraped 10,000+ daily data points via AJAX & infinite scroll
  • check_circle Structured JSON & CSV data pipelines
  • check_circle Sentiment-based prompt generation driving real-time SD img2img
  • check_circle FastAPI orchestration layer connecting scraper → sentiment → diffusion

Tech Stack

Python Stable Diffusion FastAPI Selenium BeautifulSoup Node.js

Scale

data_object
10,000+ data points/day
Market trend scraping
auto_awesome
Real-time img2img
Adaptive generative pipeline
article
Published Research
GIS Science Journal · Vol. 11 · Issue 4 · 2024
newspaper
Media Coverage
The Times of India

Overview

Raspberry Pi Automated Traffic Optimization and Response — an adaptive smart traffic control system using computer vision deployed on Raspberry Pi hardware. Achieved 25–35% reduction in congestion and 20–30% reduction in waiting times. Research published in GIS Science Journal before the author entered undergraduate studies and covered by The Times of India.

Key Features

  • check_circle Adaptive signal optimization via real-time vehicle density detection
  • check_circle Computer vision vehicle detection with OpenCV on Raspberry Pi
  • check_circle 25–35% congestion reduction · 20–30% waiting time reduction
  • check_circle Flask web dashboard for live monitoring & signal control

Tech Stack

Python Flask OpenCV Raspberry Pi IoT Computer Vision

Impact

trending_down
25–35% less congestion
Measured reduction
schedule
20–30% faster flow
Wait time reduction

Technical Skills

psychology

AI / Machine Learning

TensorFlow PyTorch Hugging Face Sentence-BERT Stable Diffusion Scikit-learn NumPy Pandas Matplotlib LLM Integration
code

Languages

Python JavaScript Node.js Java HTML CSS
dns

Backend & APIs

FastAPI Flask Socket.io REST APIs WebSockets React MySQL PostgreSQL MongoDB
memory

Embedded & IoT

Raspberry Pi ESP32 Arduino OpenCV IoT Hardware
travel_explore

Web Scraping

Selenium BeautifulSoup AJAX Scraping Infinite Scroll JSON Pipelines CSV Pipelines
settings

DevOps & Docs

Git / GitHub Docker Hugging Face Spaces Google Colab LaTeX / BibTeX IEEE / Springer Beamer

Achievements

Competition wins, recognition & publications

emoji_events Competition
IIIT Bhubaneswar

HackFest-26

Competed against 200+ teams in a national-level hackathon. Signal-86 recognized for real-world deployment viability, sub-second WebSocket performance, and novel GPS gameplay mechanics.

  • · 200+ competing teams
  • · National-level event
  • · Novel GPS gameplay mechanics
🏆 1st Place Winner
military_tech Innovation
IIT Delhi

Youth Ideathon 2023

Secured All India Rank 2 at IIT Delhi with a gold medal for tech-business modeling. Project ranked among Top 1000 submissions nationwide.

  • · All India Rank 2
  • · IIT Delhi venue
  • · Top 1000 submissions
🥇 AIR 2 · Gold Medal
article Publication
GIS Science Journal

R.A.P.T.O.R Research

Published research on adaptive traffic control using computer vision before entering undergraduate studies. Covered by The Times of India.

  • · Volume 11 · Issue 4 · 2024
  • · Pre-undergraduate publication
  • · Times of India media coverage
📄 Published Author
Certifications
verified
Stanford University · DeepLearning.AI · Coursera

Machine Learning Specialization

Completed Apr 2026
Supervised ML
99.60%
Advanced Learning Algorithms
100%
Reinforcement Learning
98.80%

Covers: Supervised ML · Advanced Learning Algorithms · Unsupervised Learning · Recommenders · Reinforcement Learning

Let's Connect

Open to research fellowships, AI/ML collaborations, and interesting engineering challenges.

Connect With Me

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Location

Bhubaneswar, Odisha, India

school

University

SOA University (ITER) · B.Tech CSE

Sep 2024 – May 2028 · CGPA 8.35

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Current Status

Open to research fellowships & AI/ML collaborations