Virtual Ayush
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Bengaluru, India
2+ years of experience
Machine Learning Engineer · Software Engineer
AI/ML Engineer building end-to-end ML and software systems for real products — from data pipelines, modeling, and APIs to deployment and iteration. Comfortable moving fast, owning problems, and turning ideas into reliable, scalable systems.
Skills
React.js
Next.js
TypeScript
Node.js
Fastify
Express
MongoDB
MySQL
PostgreSQL
Firebase
Redis
Beyond the code
Anime & figure collector - proud weeb; favorites: Eren Yeager (AoT) & Roronoa Zoro (One Piece).
Traveler & beach person - love road trips and coastal drives; beaches? always yes.
Sports & games - basketball regular, recently picked up pickleball, always up for badminton, football and down for game nights.
Certified spontaneous friend - I'm always ready for sudden plans: hikes, beaches, parties - say the word and I'm in.
Projects
Experiments at the intersection of intelligence and engineering - some shipped, some simmering.
Control the browser with your hands or voice.
Zynk - Gesture Controlled Browser AI
An AI-powered Chrome extension that enables touchless browser interaction using real-time hand gesture recognition. Built with MediaPipe and OpenCV to detect finger gestures for actions like scrolling, clicking, selecting text, and cursor control directly inside the browser tab. The system streams gesture data from a Python vision pipeline to the extension, enabling low-latency interaction and experimenting with real-world human–computer interaction using computer vision.
Turning blurry images into high-resolution detail (2X) - GPU accelerated, built from scratch
Deep Super Resolution
Deep learning based image super-resolution system that reconstructs high-resolution images from low-resolution inputs using convolutional neural networks. The project explores modern super-resolution techniques including residual learning and feature extraction layers to recover fine visual details. Built as an experimental research project to understand how neural networks enhance image clarity and reconstruct lost pixel information.
An autonomous AI agent that hunts jobs for you.
Job Search AI Agent
Autonomous AI job search agent designed to discover, rank, and recommend highly relevant job opportunities across multiple job boards. The system combines web scraping pipelines with LLM reasoning and vector search to match job descriptions with user profiles, rank opportunities using semantic similarity, and automatically filter the best matches. Designed as a production-style agent system that mimics how modern AI copilots perform information retrieval and decision making.
Detect suspicious transactions before they happen - built from scratch
Real-Time Fraud Detection System
Machine learning system designed to detect fraudulent financial transactions using logistic regression. The project simulates a real production fraud detection pipeline including feature preprocessing, model training, evaluation, and prediction scoring. Built to replicate how banks and fintech platforms classify high-risk transactions in real-time using statistical models and probability scoring from scratch using.
Predicting loan approvals using decision trees - Built from scratch
Loan Approval Prediction System
End-to-end machine learning model that predicts loan approval decisions based on applicant financial attributes. Built from scratch without any ml libraries used, core maths and decision tree algorithms, including dataset preprocessing, feature engineering, model training, and evaluation. The system replicates the decision logic used by financial institutions to assess credit eligibility and automate lending decisions.
More experiments incoming — stay tuned
Experience
Explore my journey
Over the past 1.8+ years, i've had the opportunity to work on a wide range of complex projects, collaborate with talented individuals and learn from some of the best in the industry. Here are some of the highlights of my journey so far.
Sort Tree
London, United Kingdom - Remote
November 2024 - Present
Machine Learning Engineer, AI/ML Engineer
Working as a Machine Learning Engineer on a performance marketing platform, building ML-driven systems for product and campaign analysis.
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Saranyu Technologies
Bangalore, India - On site
August 2024 - October 2025
Full stack Developer, Software Engineer
As a Full Stack Developer I Contributed across client projects: Next.js frontend and Node.js (Fastify) / PHP APIs for scalable web apps. Set up CI/CD with GitHub Actions, collaborated through Git PR reviews, and worked in Agile ceremonies (sprint planning, standups). Focus on maintainable TypeScript code, performance and reliable deployments.
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Appknox, Bangalore, India
Bangalore, India - Hybrid
May 2024 - July 2024
Software Engineering, Intern, Backend, DevOps
As a Software Engineering Intern at Appknox, I Implemented SARIF report generation in the Appknox CLI to enable GitHub Advanced Security. Built and integrated a Jenkins CI/CD plugin to automate Appknox scans for enterprise clients. Created a Python web scraper to collect metadata for 15k+ Play Store apps, improving data-processing efficiency by ~35%. Learned Go and contributed to the Appknox backend API, enhancing my full-stack skills in a fast-paced startup environment.
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Freelancer
Bangalore, India - Remote
November 2023 - March 2024
Frontend Developer, UI/UX Designer, Backend developer
As a freelance developer, I worked with a variety of clients to create custom websites, web applications, and user interfaces. I specialized in React, NextJS, and TypeScript, building high-performance, responsive, and user-friendly applications that met the unique needs of each client. I collaborated closely with clients to understand their vision and goals, translating them into engaging, interactive digital experiences.
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How I work!
I believe in a collaborative approach to projects, where ideas are shared, refined, and executed with precision. My process is transparent, ensuring you're involved every step of the way.
I’m based in Bengaluru, India. I work comfortably within Agile routines, prefer asynchronous communication, and keep progress visible through GitHub issues/PRs and CI pipeline dashboards.
Absolutely. I enjoy learning new stacks and evolving with project scope. If a new framework, API, or pattern is needed, I research fast, prototype, and implement a solution that fits the goal.
Yes. I take full ownership—from planning to delivery—communicating proactively, meeting timelines, solving issues independently, and making sure the final outcome meets or exceeds expectations.
I combine research with experimentation to find practical, creative solutions. I’m willing to try new approaches while maintaining code quality and a strong user experience.
Clear communication, regular checkpoints, and attention to detail. I ship maintainable code, provide realistic estimates, and support the product after launch to ensure long-term reliability.
Still have questions? I'd love to hear from you.
Got a vision? Let's bring It to life!
I'm always excited to collaborate on new and innovative projects. Whether you're starting from scratch or refining an existing idea.