Applied Research Scientist — ML Infra & Systems
I design research infrastructure, build experimentation tooling, and optimize machine learning systems to make model training and inference faster and more reliable. Currently working on applied research at Nuvai AI, with a background in full-stack development and security engineering.
Trajectory
Applied Research Scientist — I
Contributing to R&D initiatives and the delivery of AI/ML solutions. Managing research infrastructure, including compute environments and tooling for experimentation and training. Working on model optimization and training pipelines.
currently hereCybersecurity Intern
Conducted security assessments and penetration testing on internal applications. Identified, documented, and helped remediate critical vulnerabilities. Automated routine security scans with custom Python scripts.
security auditingFull Stack Development Intern
Developed interactive features for a learning platform using Svelte, Tailwind, MongoDB, and Node.js. Built gamified modules with the Canvas API and WebSockets to enhance student engagement.
full-stack developmentMERN Stack Development Intern
Integrated application performance monitoring with New Relic. Optimized database queries using Redis caching and created comprehensive test suites using Jest and Cypress.
backend & testingFull Stack Development Intern
Built backend services using ASP.NET Core and MySQL. Developed responsive, performant landing pages and collaborated with a development team under agile methodologies.
web servicesSelected Work
Production-grade web search engine using Flask microservices and OpenSearch. Features distributed caching with Redis and Docker containerization for horizontal scalability, achieving a query response time of 150ms.
Real-time IoT monitoring dashboard for tracking concurrent sensor connections. Uses WebSockets for live streams, Redux for state management, and TensorFlow for anomaly detection across 1,000+ devices.
Scale autonomous vehicle utilizing a behavioral cloning CNN. Controlled by an Arduino-based hardware platform running a 40ms control loop, with OpenCV for lane detection and obstacle avoidance.
Decentralized freelancer marketplace on Ethereum. Implements Solidity escrow smart contracts to automate milestone-based payments and dispute resolution without intermediaries.
Products
SaaS Platform
A no-code platform to create, customise, and deploy fine-tuned AI models. Visual prompt builder, RAG-based document grounding, OpenAI-compatible API endpoints, and side-by-side model comparison.
Mobile App
A full-featured task app with voice notes, smart deadline notifications, burnout monitoring, Razorpay subscriptions, and Firebase real-time sync. Built for people who need more than a basic to-do list.
Open Source
Open-source libraries I maintain. Built with TypeScript, designed to solve real problems, published on npm.
Multi-layer caching with memory, Redis, and file-store strategies. Auto-invalidation, cache warming, and a real-time analytics dashboard. Adopted by 15+ production apps.
npm i cache-composerAI-powered CLI code reviewer that asks junior-developer-friendly questions. NLP-driven, context-aware suggestions. v2 published on npm.
npm i reverse-stackoverflowModern image pipeline: WebP / AVIF, responsive generation, CDN integration, batch processing for automated workflows. v2 published on npm.
npm i optimix-image-pipelineFramework-agnostic onboarding engine for product tours, interactive tooltips, and progress checklists. Zero runtime dependencies. Adopted by 10+ SaaS apps.
npm i onboard-flow-engineStack
A working set of languages, frameworks, and infrastructure tools — what I use day-to-day and what I've shipped with.
Reach Out
I'm open to full-stack engineering, applied research, and security roles — and happy to chat about side projects, open-source, or interesting problems in general.
Response
I usually reply within 48 hours. Serious inquiries get priority; everything else still gets a reply.