Are you looking for a hands-on Full-Stack Architect who can build, scale, and support high-performance AI and SaaS platforms from the ground up? With over 10 years of professional experience—I specialize in architecting fast, secure, and resilient applications with real-time, AI-integrated capabilities.
What I Bring to the Table
🚀 AI-SaaS Execution: At MSBAI, I built the admin platform for the GURU Assistant, an LLM agent that diagnoses and fixes technical issues in scientific workflows. I’ve debugged AI-generated code, optimized ML pipelines in real-time, and translated LLM outputs into production-ready tooling.
⚙️ Scalable Architectures: From building live simulation UIs to secure multi-tenant marketplaces and 3D modeling SaaS apps, I’ve delivered systems that serve thousands of concurrent users with high availability.
🧠 Full-Stack Mastery: Expertise in TypeScript, React, Next.js, Node.js, Go, PostgreSQL, GraphQL, and low-latency backends using Rust and serverless functions on AWS and Supabase.
🛠 Cross-Domain Versatility: I’ve worked on platforms ranging from MLOps and scientific computing (MSBAI) to edtech mentorship networks (Scholarly) and cybersecurity labs (Xintra).
💬 Developer Empathy + AI Support: I’ve supported developers using AI agents by debugging generated code, writing CLI tooling, and guiding teams through adopting LLMs effectively in their workflows.
Why Work With Me
🔧 End-to-End Ownership: I thrive in fast-paced teams—leading system design, writing clean production code, and mentoring devs while delivering measurable impact.
🧰 Startup-Ready Mindset: I’m equally comfortable building MVPs from scratch or modernizing legacy systems to support scale and maintainability.
📈 Proven Outcomes: I've shipped everything from Slack-integrated dashboards and Gmail margin calculators to low-code builders and cross-platform mobile apps.
Tech Proficiency
Industries Served
Let’s collaborate—whether you’re scaling an AI-native SaaS platform, building a developer-first observability tool, or launching a privacy-first user experience, I bring speed, technical depth, and real-world execution.
At MSBAI: Developed the admin platform for a large language model (LLM)-powered assistant that diagnoses and resolves...
At MSBAI: Developed the admin platform for a large language model (LLM)-powered assistant that diagnoses and resolves technical issues in scientific workflows.
- Debugged AI-generated solutions, optimized HPC job pipelines in real time.
- Supported users in adapting LLM outputs into production-ready code and tools.
- Troubleshot system-level issues (e.g., job schedulers, CLI behavior) and provided clear technical guidance.
At Xintra & Scholarly:
- Created a SaaS starter template reused across multiple products: a live test-taking platform, an AI-based 3D modeling asset marketplace, and a 1:1 mentoring app.
- Built a real-time desktop sharing tool (15+ FPS, low latency) enabling remote simulations and training.
- Developed a no-code app builder for rapid prototyping of internal apps.
- Built a Gmail/Outlook add-on to automate transport bid margin calculations from emails.
Stack: Typescript (React, Next, Node), Rust (Axum, Dioxus, Tauri), DB (Supabase, PostgreSQL, MongoDB), cloud
Built apps that aggregated data from multiple source and shared it in stakeholder’s preferred format or process
- HR Das...
Built apps that aggregated data from multiple source and shared it in stakeholder’s preferred format or process
- HR Dashboard: HR can track various insurance policies and claims of their company’s employees
- Company Dashboard: Companies can purchase customised policies from an aggregated list of insurers; They can maintain a running balance to cover the changes in their no of employee at the policies; Compare and receive bids for their customised policies across the aggregated list of insurers
- Employee Dashboard: Employee can purchase customised policies; add/remove dependants and track their claims
- Standardised development stack to use Firebase functions and Next; with logging-monitoring-tracing and testing
Stack: Next, React, Styled Components, Tailwind CSS, GraphQL, NodeJs, Cypress, Github CI/CD
As a part of engineering effort at nfer Clinical nSights, i worked on apps like:
- AI Studio: Users can upload ...
As a part of engineering effort at nfer Clinical nSights, i worked on apps like:
- AI Studio: Users can upload and tag dataset. Users run models against these datasets. Users can review the model's prediction and feed this back to the model. workspaces: Svelte UI to track uptime and cost of GCE instances that run models in AI studio; CRUD
- Triangulation: also known as drug lifecycle management, rate targets after correlation between triangulation of literature, molecular and real world evidence.
- Real-World Evidence: Automated real-time synthesis of key opinion and clinical activity of biomedical concepts
Develop and maintain libs that work across nference's suite of apps like:
- core-ui: UI component library with storybook and nference's design language
- annotator: user-generated spatial annotations over non-text data like pathology images, ECG waveforms and maps
- Notification service: middleware to execute Async jobs and caches results for rate limiting requests, book-keeping, notification in the backend and a collection of web socket based subscription hooks to consume real time data
Stack: React, Tailwind CSS, GraphQL, Golang, NodeJs