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// loading portfolio
// open to work

Building the bridge between code, AI, and business impact.

Om Doshi - A Software Developer specializing in Full-Stack, AI/ML, and Firmware. VIIT'25 Pune graduate turning ideas into scalable, real-world products.

React.js Firebase Core Java FastAPI AI / ML AWS
View Projects
OD
// om_doshi.dev
let impact = 'growth';
import idea from 'code + ai';
 
class Developer {
  curiosity(circuits, systems);
  buildProduct = passion;
}
 
return solution.ship();
// building the future, one solution at a time.
// about

From curious circuits to scalable software.

A graduate of Vishwakarma Institute of Information Technology with a background in Electronics & Telecommunication Engineering (ENTC), Om has evolved from a hardware-first thinker into a versatile software developer who moves fluidly between circuits and code. A semester-long internship as a Software Developer brought hands-on exposure to React, Firebase, and Git - while strengthening problem-solving and collaborative development skills.

With a strong foundation in data structures, algorithms, and core Java, Om's technical range spans programming, data analysis, operating systems, and AI/ML fundamentals - crafting efficient, scalable solutions that bridge hardware and software.

Now actively seeking full-time software roles, driven to push boundaries and contribute to projects with real-world impact.

8.64
CGPA, B.Tech
6+
Shipped Projects
4+
Certifications
1
Published Paper
// toolkit
Languages
Core JavaPythonCJavaScript
Frameworks
React.jsNode.js / ExpressFlaskFastAPI
AI / ML
CNN & Deep LearningNLPGemini LLMAgentic AI
Cloud & Data
AWSFirebaseMongoDBData Modeling
// experience

Where the work happened

Software Developer - OmnéVu.com
Internship · Jan 2025 – Jul 2025 · 7 mos · Pune, Remote
  • Developed and maintained a scalable e-commerce web app using React.js (frontend) and Firebase (backend), ensuring high performance and responsiveness.
  • Contributed to full-cycle app development - implementing features, debugging issues, and optimizing Firebase read/write operations.
  • Integrated an AI-powered chatbot (Agentic AI) to enhance user engagement.
  • Assisted in data analysis, designed database models, and created data visualizations to support business decisions.
FirebaseReact.jsAgentic AIData Modeling
Project Intern - ATECHNO Embedded Solutions (OPC) Pvt Ltd
Internship · Sep 2024 – Jan 2025 · 5 mos · Pune, Hybrid
  • Developed a real-time Air Quality Monitoring System using STM32, FastAPI, and Chart.js to collect and display environmental sensor data via a web interface.
  • Implemented WebSocket for live data transmission and real-time graph visualization.
  • Resolved backend-frontend communication challenges, ensuring seamless integration.
FirmwareEmbedded SystemsFastAPI
// live product

Samachar: Ad-free & multilingual news, built for ALL.

An open-source Indian news aggregator PWA. Pulls live from The Hindu, Indian Express, BBC Hindi, and Dainik Bhaskar via RSS - no ads, no tracking, works offline.

  • Vanilla JS, HTML, CSS - no framework, no build step, by design.
  • Node.js serverless function on Vercel, hand-written RSS/XML parsing via regex, no external XML library.
  • SSRF-hardened fetch layer: blocks private/loopback/link-local IPs and AWS metadata ranges, caps redirects, enforces HTTPS.
  • Per-IP rate limiting, HTML-escaping on all rendered content and CSS-class allowlisting to prevent injection.
  • A+ security rating - full header suite (CSP, HSTS w/ preload, X-Frame-Options, COOP, CORP, Permissions-Policy).
  • Service worker with network-first caching; installable, works offline.
Vanilla JSNode.jsVercel FunctionsPWASSRF ProtectionA+ Security
Visit Live Site ↗ View Source ↗
Samachar news app desktop interface showing categorized headlines from Indian news sources
// other projects

Case studies

ChurnApp: AI-Powered Churn Prediction & Retention

Aug 2025 – Dec 2025
  • Built an end-to-end platform predicting customer churn, enabling businesses to act before losing revenue.
  • Developed a real-time AI pipeline using FastAPI and Gemini LLM with churn scoring and automated logging.
  • Created a React dashboard translating AI predictions into actionable insights for non-technical users.
  • Demonstrates full product thinking: data ingestion → AI inference → business decision support.
FastAPIReact.jsGemini LLM

Food Delivery Web Application

Aug 2024 – Dec 2024
  • Implemented JWT-based authentication for secure login and signup, with bcrypt password hashing.
  • Integrated third-party geolocation APIs achieving 95% accuracy in location-based services.
  • Built on the MERN stack - React.js frontend, Node.js/Express.js backend, MongoDB database.
MERN StackJWT

SpeechMood Analyzer

Jun 2024 – Jul 2024
  • Designed and deployed a real-time emotion detection app using speech recognition and the Hugging Face base model.
  • Achieved 91% emotion recognition accuracy with the pre-trained model for real-time analysis.
  • Integrated speech recognition with advanced NLP models into an interactive Streamlit app.
NLPSpeech RecognitionStreamlit

AutoSprout: Automated Irrigation System

Jan 2024 – May 2024
  • Built a smart irrigation system with ESP8266 enabling remote soil moisture monitoring and control over Wi-Fi.
  • Designed a web UI (HTML/CSS) for real-time soil moisture data and a Python Flask backend for remote control.
  • Grid-based design ensured thorough coverage and effective water distribution across the field.
  • Owned all project phases - hardware selection, sensor integration, web development, and deployment.
IoTFlask

Emotion Recognition System

Aug 2023 – Dec 2023
  • Engineered an image-based emotion recognition system using CNNs and deep learning for real-time analysis.
  • Achieved 59.79% overall test accuracy - up to 81.44% on happy faces, with precision 61.73%, recall 59.79%, F1 60.02%.
CNNDeep Learning
// certifications

Licenses & certifications

Model Context Protocol
Anthropic
Issued May 2026
Google Cloud Data Analytics
Google
Issued Nov 2024
AI Micro-Certification (AIC)™
Product School
Issued Jul 2024
AWS ML Specialty Prep - Modeling
LinkedIn Learning
Issued Mar 2024
// publication

Research

Controlling and Monitoring of Smart Plant Watering System Using IFM Technologies

Cureus - Part of Springer Nature · Jan 15, 2025

Integrated CR0708 (IFM Ecomat Controller), TA2115 (temperature sensor), and IFS240 (inductive sensor) in collaboration with IFM Technologies, Germany - including hardware selection, software implementation, and an HMI display for visualizing and controlling the watering system.

Read the publication →
// education & involvement

Foundations

Vishwakarma Institute of Information Technology

Bachelor of Technology (B.Tech) · Dec 2021 – May 2025 · CGPA 8.64
  • Digital System Design · Machine Learning
  • Data Structures · Design & Analysis of Algorithms
  • Control Systems · Object-Oriented Programming
  • Information Theory & Coding Techniques
  • Natural Language Processing · Computer Vision

Volunteering & Organizations

Leadership beyond the classroom
  • Website Manager - Project Management Institute, May 2026–Present
  • Batch Representative - VIIT Dept., Jan 2023–Jul 2025
  • Technical Team Member - VIIT Robotics, Aug 2022–Jan 2023 (IoT, Arduino)