AI Engineer • Data Science • Problem Solver

Hi, I'm Varun Saini
I build AI-powered & data-driven products.

I’m a Computer Science Engineering student specializing in Artificial Intelligence & Data Science at Galgotias University (2022–2026), focused on building scalable, real-world software — from AI assistants to secure platforms and developer tools.

I lead AI & Software Development at CONO-AI, and have built Bullion, a strategy-driven multi-stock scanner for financial markets, along with V-Media Player and DB-Saver. My work is backed by national recognition through the Smart India Hackathon, Microsoft Campus Connect, JP Morgan Code for Good 2025, and AI/ML internships via Google and RapidMiner (AICTE).

Artificial Intelligence Data Structures & Algorithms Machine Learning Backend & Tools
Varun Saini Profile Picture

CSE (AI & DS)

Backend Engineer · FinTech & Trading Systems

  • National AI Olympiad (NAIO) 2025 – Advanced Category (National Rank 136, State Rank 8)
  • Scratch Foundation by MIT Media Lab – Open Source Contributor
  • QuickFIX (C++) – Open Source Contribution to Financial Trading Engine
  • Smart India Hackathon – 1st in pre-qualifiers
  • Microsoft Campus Connect – Winner
  • JP Morgan Code for Good 2025 – Participant

Skills & Tech Stack

Bringing together strong fundamentals, AI expertise and practical tooling.

Core Programming & CS

C++C++ / DSA PythonPython HTML & CSSHTML & CSS GitGit & GitHub TkinterTkinter & CustomTkinter

Strong foundation in data structures & algorithms, object-oriented programming, and building end-to-end desktop and web tools.

AI, Data & Backend

Machine LearningMachine Learning LangChainLangChain FlaskFlask MySQLMySQL DockerDocker OllamaOllama

Experience building LLM-based assistants, REST APIs, backend services and database-driven applications with secure and privacy-first design.

Tools & Libraries

NumPyNumPy PandasPandas TensorFlowTensorFlow OpenCVOpenCV VS CodeVS Code

Comfortable moving from data exploration to prototyping models and integrating them into production-ready tools and interfaces.

Featured Projects and Apps

Real, shipped projects that combine AI, UX and engineering.

RulingSafe

RulingSafe – Offline Legal Ruling & Case Manager

RulingSafe is a desktop-based offline legal management application built to help lawyers and legal professionals organize court rulings, documents, and reference links without relying on Excel files or cloud-based tools.

The application follows a case-centric folder architecture, where each case maintains its own documents, links, metadata, and history in a structured and easily accessible format. Designed specifically for non-technical users, RulingSafe focuses on simplicity, privacy, and reliability.

RulingSafe supports multiple users on the same system, offers fast search and filtering across case numbers, names, courts, and descriptions, and works entirely offline, ensuring that all legal data remains secure and local to the user’s device.

Python PyWebView Desktop Application Offline-First
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Bullion

Bullion - A Multi-Stock Scanner and Trading Assistant

Bullion is a multi-stock trading strategy scanner designed to analyze multiple stocks simultaneously based on user-selected technical strategies. Users can create custom stock lists, select a strategy such as Shooting Star, and run parallel analysis to identify stocks that match the defined conditions.

Built with a strategy-driven and scalable architecture, Bullion evaluates each stock and returns actionable trade levels, including expected buy price, stop-loss, and target sell price. The project demonstrates how software engineering and automation can be applied to financial markets to reduce manual analysis and improve trading consistency.

Python Machine Learning Node.js
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CONO-AI

CONO-AI – Smart & Privacy-Focused Voice Assistant

CONO-AI is an intelligent voice assistant designed to make everyday computing smarter, faster and more private. As the Head of AI & Software Development, I helped shape CONO-AI into a multifunctional assistant that answers general queries and coding questions, opens apps like WhatsApp, plays media and manages tasks — without storing user data.

Built with Python, ML models and custom GUI, it includes a marketplace and entertainment zone and runs locally for complete privacy. It’s not just a project, but a vision to bring human-like intelligence into everyday interactions.

Python LLMs / LangChain Desktop App
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V-Media Player

V-Media Player – Cloud-Connected, Timestamp-Aware Player

V-Media Player is a secure media player supporting both local and online streaming, built using Python (Tkinter, CustomTkinter) and VLC. Each user gets 5GB of cloud storage to stream content from a central server.

Its standout feature is the timestamp system – users can mark, name and revisit their favourite scenes while watching any media. Timestamps are stored locally in JSON, giving users full control and privacy while creating a personal connection to their content.

Python VLC Cloud Streaming
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DB-Saver

DB-Saver – Database Backup & Restore Application

DB-Saver is a database backup and restore tool built to make production database management safer and simpler. It supports automated backups, secure storage and seamless restoration flows to protect critical data.

Developed with a focus on reliability, security and ease of use, it showcases my experience in systems design, tool building and working with real-world data workflows.

C++ / Python MySQL System Tools
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Open Source Contributions

Real world open source engineering experience.


Scratch Foundation by MIT Media Lab

Docs · Open Source · GitHub

Contributed to scratch-blocks, the core visual programming library powering Scratch, used by millions of learners worldwide and developed by the Scratch Foundation (MIT Media Lab). Identified Windows-specific build failures related to legacy tooling and OS command-length limitations. Improved developer onboarding by adding clear build documentation, WSL-based workarounds, and references to known issues, enabling smoother cross-platform contributions. Worked within a production-scale open-source workflow involving CI checks, pull requests, and CLA compliance. This contribution strengthened platform reliability and reduced setup friction for new developers while providing hands-on experience with large-scale JavaScript codebases and developer tooling.

QuickFix (Open Source)

C++ · Git · Open Source Collaboration

Worked with the QuickFIX C++ engine, a widely adopted open-source FIX protocol implementation used across trading systems and financial institutions. Built and analyzed the codebase on Linux/WSL, gaining hands-on exposure to financial messaging, session management, and persistent message stores. Investigated dictionary and configuration handling within the engine to improve correctness and robustness of FIX field processing. This contribution provided practical experience with production-grade C++ systems, low-latency financial infrastructure concepts, and real-world build pipelines commonly used in trading and market connectivity software.

My Journey

A timeline of how I’ve grown as an AI and software engineer.

B.Tech CSE (AI & DS)

2022 – 2026 · Galgotias University

Pursuing Computer Science and Engineering with specialization in Artificial Intelligence and Data Science.

Internships

2024

• Data Science Master Program – RapidMiner (AICTE)
• Google AI/ML Virtual Internship (AICTE)

Smart India Hackathon

Sept 2024

Led Team Cono as AI & Software Developer and achieved 1st position among 300+ teams in pre-qualifiers.

Major Projects

2024 – 2025

• CONO-AI: Smart & Secure Voice Assistant
• DB-Saver: Backup & Restore App
• V-Media Player: Advanced Media Player

Bullion : Major Fintech Project

January 2025

Software can scan multiple stocks in parallel and can apply strategy on them in parallel and can predict buy, stop-loss and target levels.

Microsoft Campus Connect

May 2025

Winner of Microsoft Campus Connect competition.

JP Morgan Code for Good (CFG) 2025

June 2025

Participated in JP Morgan Code for Good, collaborating on impact-driven engineering solutions.

National AI Olympiad (NAIO) 2025 : Advanced Category

Accenture LearnVantage & TalentSprint

October 2025

Secured National Rank 136 and State Rank 8 in the Advanced category of a nationwide AI competition, highlighting strong foundations in artificial intelligence, analytics, and problem-solving.

Scratch Foundation by MIT Media Lab — Open Source Contribution

December 2025

Contributed to scratch-blocks, resolving Windows build issues and improving documentation. Worked within large-scale JavaScript codebases and production open-source workflows used by millions worldwide.

QuickFIX (C++) — Open Source Contribution

December 2025

Contributed to the QuickFIX C++ engine, gaining hands-on experience with FIX protocol messaging, session management, and production-grade financial trading infrastructure on Linux/WSL.

Infyra Innovations — AI/LLM and Backend Developer Intern

December 2025

Contributing to the development of an AI-driven platform, working with LLM workflows, backend systems, and structured data pipelines in a startup environment.

Let’s Build Something Impactful

I’m actively looking for roles in Software Engineering, AI/ML, and Data Science. If you’re hiring or looking to collaborate on an impactful project, I’d love to talk.