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Romil Doshi

Software engineer focused on backend systems, data pipelines, and applied AI/ML

Final-year B.Tech Computer Engineering | Mumbai, India

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Status: Open for Internships Degree: B.Tech 2027 Location: Mumbai


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About Me Pillars Tech Stack Projects Experience Hackathons Analytics Contact

About Me  •  Core Pillars  •  Tech Stack  •  Projects  •  Experience  •  Hackathons  •  Analytics  •  Contact


👨‍💻 About Me

Final-year Computer Engineering undergraduate (B.Tech, Expected 2027) at the University of Mumbai with proven industry experience across backend architecture, high-volume data scraping & cleaning pipelines, browser edge security, and applied AI/ML systems.

  • 🎓 Education: Final-Year B.Tech in Computer Engineering — University of Mumbai (2023 – 2027)
  • 💡 Engineering Philosophy: Designing resilient, low-latency systems that turn messy real-world data into structured intelligence and deliver on-device user protection.
  • 🛡️ Edge Security & AI: Creator of Trustos (zero-trust browser extension combining WebAssembly and local Bloom filters) and Sentinel Verify (an AI/NLP-driven threat classification SaaS).
  • 🏆 Global Finalist: Ranked #445 of 12,885+ registrants across 48 countries (Top 3.4%) at HackerRank Orchestrate Hackathon 2026 for building an autonomous multi-ecosystem AI support triage agent.
  • 💼 Industry Background: 4 professional internships and roles covering web platform revamps, enterprise cloud & IT infrastructure support, automated data pipelines, and technical systems administration.
  • 🎯 Looking For: Software Development Engineer (SDE) / Data / Applied AI-ML Internships (Mumbai or Remote).

🏛️ Core Engineering Pillars

🛠️ Backend & Full-Stack Systems

Building high-throughput REST APIs, robust web architectures, and responsive user interfaces with Flask, Node.js, and modern JavaScript with strict focus on performance and reliability.

Flask • Node.js • RESTful APIs • SQLAlchemy • HTML5/CSS3

📊 Data Engineering & Scraping

Designing automated multi-threaded web scrapers, ETL pipelines, and validation engines to extract, sanitize, and structure raw web data into research-grade datasets.

Data Scraping • Data Cleaning • Pandas • NumPy • SQL

🧠 Applied AI, NLP & RAG

Developing intelligent triage systems, ensemble ML classifiers, and contextual vector search engines with explainable decision layers (XAI) and deterministic safety filters.

Scikit-learn • NLP (SpaCy) • RAG Systems • LLM Agents • XAI

🛡️ Edge Security & Browser Systems

Engineering zero-trust client-side tools using WebAssembly, Bloom filters, and Shadow DOM encapsulation for sub-millisecond edge protection without data exfiltration.

WebAssembly • Manifest V3 • Bloom Filters • Shadow DOM • SIEM


🛠️ Technical Arsenal

Category Technologies & Tools
Languages & Core Python JavaScript (ES6+) SQL Node.js WebAssembly (Wasm) HTML5 CSS3 Bash / Shell
Backend & Web Flask RESTful APIs Express.js SQLAlchemy Shadow DOM Chrome Extension APIs (MV3) Responsive UI
AI, ML & Data Scikit-learn NLP (SpaCy) RAG Architectures LLM Agents Pandas NumPy Data Scraping (Selenium/BS4) Data Cleaning
Security & Systems Bloom Filters & Hashing SIEM Tools Zero-Trust Edge Security Network Fundamentals (TCP/IP, DNS) JWT / Auth
DevOps & Tools Git GitHub VS Code Postman MS Office Suite Advanced Excel Linux Environment

🏷️ Curated Skill Badges

💻 Programming Languages & Runtime

Python JavaScript Node.js SQL WebAssembly HTML5 CSS3

🤖 AI, Machine Learning & Data Engineering

Scikit-Learn NLP RAG Systems Pandas NumPy Data Scraping Data Cleaning

⚙️ Security, Tools & Platforms

Flask Git GitHub SIEM Tools Network Fundamentals Advanced Excel


🚀 Featured Projects

🛡️ Trustos

Zero-Trust Chrome Phishing Detection Extension


  • Sub-Millisecond Edge Defense: Real-time protection against credential harvesting without transmitting sensitive URLs or user history to external servers.
  • High-Speed Matching Engine: Combines heuristic risk algorithms, a high-performance WebAssembly (Wasm) compute module, and a local Bloom filter for zero-latency URL checking.
  • Shadow DOM Warning System: Built an isolated Shadow DOM warning overlay that clearly explains granular threat factors (spoofed login inputs, high entropy domains) rather than silently blocking pages.

JavaScript • WebAssembly • Manifest V3 • Bloom Filter • Shadow DOM

AI-Powered Cybersecurity SaaS Platform


  • Ensemble Threat Engine: Full-stack intelligent platform detecting phishing, fraud, and deceptive content in real time using a trained Machine Learning & NLP pipeline.
  • Explainable AI (XAI): Delivers transparent, explainable threat breakdowns illustrating exactly why content was flagged with confidence metrics.
  • Enterprise Architecture: Features secure role-based auth, rate-limited API access controls, scan history logging, and an interactive analytics dashboard tracking real-time attack trends.

Python • Flask • Scikit-learn • NLP (SpaCy) • JavaScript • SQLAlchemy

HackerRank Orchestrate Hackathon 2026 Global Finalist


  • 24-Hour Hackathon Delivery: Built an autonomous terminal-based AI triage agent resolving support tickets across HackerRank, Claude, and Visa ecosystems.
  • Context-Grounded RAG Pipeline: Integrated semantic retrieval over knowledge bases with deterministic rule filtering to eliminate hallucinated answers.
  • Intelligent Escalation Logic: Automated priority tagging and human-in-the-loop escalation routing for complex incidents, scoring in the Top 3.4% globally.

Python • RAG • Autonomous Agents • Vector Retrieval • Prompt Engineering

Health Informatics & Intelligent Symptom Analysis


  • Intelligent Symptom Triage: Web application designed for rapid preliminary symptom assessment, mapping patient inputs against evidence-based medical indicators.
  • Interactive Health Profile: Offers user-centric health tracking, contextual medical guidance, and scheduled medication adherence reminders.
  • Responsive & Modular: Engineered clean modular backend endpoints and an intuitive, mobile-friendly interface for effortless patient interaction.

JavaScript • Node.js • Health Informatics • REST APIs • UI/UX


💼 Professional Experience

timeline
    title Career Trajectory & Industry Roles
    Mar 2024 : IT Services Manager @ Prashant Wakhariya & Co
             : 95% Same-Day SLA • LAN/WAN Network Infrastructure
    Apr 2025 - May 2025 : Research Intern (Data Scraping) @ iBle Boom Services
                        : Automated Multi-Source Scrapers • Data Cleaning Pipelines
    Jul 2025 - Oct 2025 : IT Intern @ ApplyLynk ConversionX
                        : Cloud Infrastructure • Application Deployments
    Dec 2025 - May 2026 : Web Development Intern @ Rhodek Pumps & Equipments
                        : Enterprise Website Revamp • Lead Generation Funnels
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  • Enterprise Website Revamp: Spearheaded full overhaul and maintenance of company web properties, drastically improving UX, load speeds, and conversion rates across key landing pages.
  • Inbound Lead Generation: Architected client inquiry funnels and interactive contact workflows that converted organic web visitors into sales opportunities.
  • Brand & Quality Standards: Enforced 100% compliance with corporate branding guidelines, cross-browser compatibility, and mobile responsiveness.

HTML5 • CSS3 • JavaScript • UI/UX Design • Lead Generation • SEO Optimization


  • Infrastructure Operations: Resolved critical infrastructure bottlenecks and assisted development teams with smooth application deployments in a fast-paced startup ecosystem.
  • Cross-Team Coordination: Maintained developer environments, system reliability monitoring, and rapid troubleshooting with zero operational downtime.

Cloud Infrastructure • Application Deployment • System Administration • IT Troubleshooting


  • Automated Data Pipelines: Built multi-threaded web scrapers to harvest structured datasets from diverse unstructured web sources and dynamic portals.
  • Data Validation & Quality Assurance: Engineered automated data cleaning, deduplication, and schema validation routines, delivering high-accuracy datasets for research initiatives.

Python • Data Scraping • Data Cleaning • Data Validation • Pandas • ETL


  • Network & Systems Management: Monitored enterprise LAN/WAN health and provided comprehensive technical support for 10+ employee workstations.
  • High SLA Resolution: Resolved 95% of IT tickets within the same business day, handling hardware diagnostics, software installations, and security access.

Network Fundamentals • IT Support • Hardware Diagnostics • Security Controls • SLA Management


🏆 Hackathons & Competitions

Global Finalist — Ranked #445 of 12,885+ (Top 3.4% Worldwide)


  • 24-Hour Autonomous Build: Engineered a terminal-based AI support triage agent handling multi-ecosystem developer tickets across HackerRank, Claude, and Visa.
  • Grounded RAG & Safeguards: Integrated vector-based retrieval over technical knowledge bases with deterministic rule layers and intelligent escalation logic to eliminate hallucinations.

Python • RAG Systems • Autonomous Agents • Vector Retrieval • NLP

Generative AI Satellite De-Clouding System (4-Person Team)


  • SAR-Optical Fusion: Developed a conditional Generative Adversarial Network (cGAN) to restore cloud-obscured regions in high-resolution LISS-IV satellite imagery.
  • Feature Reconstruction: Fused synthetic aperture radar (SAR) penetration data with optical bands to synthesize accurate surface textures and land features.

PyTorch • cGAN • Computer Vision • Remote Sensing • Image Translation

Intelligent Candidate Ranking Engine — Team Viking47


  • Algorithmic Candidate Matching: Created an NLP and machine learning pipeline to parse, score, and rank technical resumes against complex job descriptions.
  • Feature Engineering: Extracted contextual skill graphs and experience vectors to accelerate recruitment screening throughput.

Python • Scikit-learn • NLP • Feature Engineering • Pandas

Rapid Full-Stack Live-Coding Sprint


  • Real-Time Speech-to-Text: Rapidly architected a full-stack React web application integrating Deepgram real-time voice transcription APIs.
  • Secure Authentication: Implemented end-to-end user authentication, reactive UI states, and responsive audio streaming controls.

React • JavaScript • Deepgram API • Real-Time WebSockets • Auth


📊 GitHub Analytics

Profile Details GitHub Stats
Repos Per Language Most Commit Language

Romil's Contribution Graph

📬 Connect & Collaborate

Ready to collaborate on high-impact software, data engineering, or machine learning initiatives? Let's connect!


LinkedIn Email GitHub


📍 Mumbai, Maharashtra, India  |  📱 (+91) 9769470770  |  ✉️ romildoshi1999@gmail.com


const romil = {
  status: "Available for SDE / Data / AI-ML Internships",
  location: "Mumbai, India",
  interests: ["Backend Architecture", "WebAssembly", "Data Pipelines", "Applied ML & RAG"],
  sayHi: () => console.log("Let's build something remarkable together!")
};
romil.sayHi();

Romil Doshi Footer

⭐ Crafted with passion by Romil Doshi — Star this profile if you find it inspiring!

LinkedIn | Email | GitHub


About

I am a final-year Computer Engineering student (B.Tech, 2023 to 2027) at Shah & Anchor Kutchhi Engineering College, University of Mumbai. I build backend services, data pipelines, and applied ML systems, and I care most about robustness: retries, caching, schema validation, and guardrails against bad input and model hallucination.

I am currently a Backend Developer Intern at BillTea, working on a NestJS and Prisma backend that serves a React Native (Expo) app.

Looking for: SDE, backend, data, and applied AI/ML roles, both internships and entry-level, in Mumbai (on-site or hybrid) or remote.

Highlights

  • Ranked 445 of 1,349 teams at HackerRank Orchestrate 2026 (12,885+ registrants across 48 countries) with a RAG-based support triage agent.
  • Built Trustos, a browser extension that detects phishing locally using WebAssembly and a Bloom filter, and Sentinel Verify, a Flask platform with explainable ML threat detection.
  • Five roles across backend development, web scraping pipelines, IT infrastructure, and web development.

Skills

Area Tools
Languages Python, JavaScript (ES6+), SQL, Bash, WebAssembly, HTML5, CSS3
Backend NestJS, Prisma, Node.js, Express.js, Flask, SQLAlchemy, REST APIs, JWT auth
Frontend and mobile React, React Native (Expo), Chrome Extensions (Manifest V3), Shadow DOM
Data engineering Pandas, NumPy, Selenium, BeautifulSoup, ETL, data cleaning and validation
AI and ML Scikit-learn, spaCy, PyTorch, RAG, LLM agents, explainable AI (XAI)
Security and systems Bloom filters, zero-trust design, SIEM tools, TCP/IP, DNS, Linux
Tools Git, GitHub, Postman, VS Code, Advanced Excel

Featured Projects

Zero-trust phishing detection extension for Chrome and Edge (Manifest V3).

  • Checks URLs locally in the browser, so URLs and browsing history are never sent to an external server.
  • Combines heuristic risk scoring, a WebAssembly compute module, and a local Bloom filter for fast URL lookups with no network round trip.
  • Explains each warning in an isolated Shadow DOM overlay (spoofed login inputs, high-entropy domains) instead of silently blocking the page.

JavaScript WebAssembly Manifest V3 Bloom filter Shadow DOM

AI-powered threat detection platform for phishing, fraud, and deceptive content.

  • Classifies content in real time with an ensemble ML and NLP pipeline.
  • Returns explainable results that show why content was flagged, with confidence scores.
  • Includes role-based authentication, a rate-limited API, scan history, and an analytics dashboard for attack trends.

Python Flask Scikit-learn spaCy JavaScript SQLAlchemy

Terminal-based AI agent that resolves support tickets across the HackerRank, Claude, and Visa ecosystems, built in 24 hours for HackerRank Orchestrate 2026.

  • Retrieval-augmented pipeline with semantic search over knowledge bases, plus deterministic rule filters to prevent hallucinated answers.
  • Priority tagging and human-in-the-loop escalation for complex incidents.
  • Result: rank 445 of 1,349 teams (12,885+ registrants worldwide).

Python RAG Autonomous agents Vector retrieval Prompt engineering

Web application for preliminary symptom assessment and health tracking.

  • Maps user-reported symptoms against medical indicators to give contextual guidance.
  • Supports a personal health profile and scheduled medication reminders.
  • Modular Node.js backend with a mobile-friendly interface.

JavaScript Node.js REST APIs


Experience

Backend Developer Intern, BillTea

Current

  • Build backend services with NestJS and Prisma for a product with a React Native (Expo) client.

Web Development Intern, Rhodek Pumps & Equipments

Dec 2025 to May 2026 | Mumbai

  • Rebuilt and maintained the company website, improving page structure, load performance, and mobile responsiveness on key landing pages.
  • Built client inquiry funnels and contact workflows that turn site visitors into sales leads.
  • Followed corporate branding guidelines and tested cross-browser and mobile compatibility.

HTML5 CSS3 JavaScript SEO

IT Intern, ApplyLynk ConversionX

Jul 2025 to Oct 2025 | Mumbai

  • Resolved infrastructure bottlenecks and supported developers with application deployments in a startup environment.
  • Maintained developer environments, monitored system reliability, and handled troubleshooting.

Cloud infrastructure Application deployment System administration

Research Intern (Data Scraping), iBle Boom Services

Apr 2025 to May 2025 | Mumbai

  • Built multi-threaded scrapers that collect structured datasets from unstructured sources and dynamic portals.
  • Wrote cleaning, deduplication, and schema-validation routines to produce research-ready datasets.

Python Pandas ETL Data validation

IT Services Manager, Prashant Wakhariya & Co

Mar 2024 | Mumbai

  • Monitored LAN/WAN health and supported 10+ employee workstations.
  • Resolved 95% of IT tickets within the same business day, covering hardware diagnostics, software installs, and access control.

Networking IT support SLA management


Hackathons and Competitions

HackerRank Orchestrate 2026. Rank 445 of 1,349 teams. See the Autonomous Support Triage Agent above.

ISRO Bharatiya Antariksh Hackathon. Team of four building a generative AI de-clouding system for satellite imagery. Developed a conditional GAN (cGAN) that fuses SAR radar data with optical bands to restore cloud-covered regions in LISS-IV images. PyTorch cGAN Remote sensing

Redrob Data & AI Challenge 2025 (Team Viking47). Built an NLP and ML pipeline that parses, scores, and ranks resumes against job descriptions, using skill and experience features. Python Scikit-learn Pandas

DeepThought SDE Internship Challenge. Live-coding sprint: a full-stack React app with Deepgram real-time speech-to-text, user authentication, and audio streaming controls. React WebSockets Deepgram API


Contact

I am open to SDE, backend, data, and applied AI/ML opportunities. The fastest way to reach me is email.

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