Engineering Intelligence.
Building for People.
Software Engineer building production-grade AI systems, Conversational AI, Generative AI tools, multi-provider LLM orchestration, and low-latency infrastructure born from real friction.

Selected Work
Production systems built from real operational friction. Built for invisible reliability, direct utility, and human control.
AI Agent Skills Platform
Multi-Tenant Skill Lifecycle, Bounded Execution & Human-in-the-Loop Approvals
Production-grade platform for creating, testing, versioning, and executing user-defined AI agent skills with strict permission controls, human-in-the-loop approvals, per-user multi-tenant data isolation, and structured execution logging.

ClarityUX
Multi-Provider AI Inference & Visual Attention Analytics
Production AI inference system and OpenCV computer vision pipeline for predictive heatmaps, attention hotspots, and eye-tracking simulations serving 4,000+ active users across Figma and Chrome.

AI Workforce Planning
Dual-Sided Workforce Intelligence & Recommendation Engine
Dual-sided workforce intelligence platform combining Collaborative Filtering and PyTorch POCs scaled to Gemini Embeddings and Firestore Vector Search for semantic candidate ranking, JD synthesis, and candidate companion tools.

Sunflower AI
Voice-First Companion & Interactive Memory Garden
Voice-first conversational assistant pairing Gemini Live API real-time audio streaming with a Three.js 3D avatar and long-term memory engine for reflective journal synthesis.

Android Open Source & Custom Kernel
AOSP Kernel Development & Low-Level Tuning
Custom Linux kernel and AOSP distribution for mobile hardware featuring custom CPU schedulers, governor tuning, and low-level rendering optimizations serving 1,000+ active users.
Other Engagements
Strategy & LeadershipAI Infrastructure & Multi-LLM Routing
Architecting resilient multi-provider LLM inference pipelines (Gemini, Claude, OpenAI, Groq) with automated failover routing and cost/latency tuning.
Realtime Voice & Multimodal AI
Building ultra-low latency WebRTC & LiveKit audio streaming pipelines for conversational voice assistants and speech synthesis.
Open Source & Hackathons
Building community AOSP custom kernel projects, participating in tech hackathons, and contributing to open-source developer tooling.
Cloud & Vector Search Infrastructure
Designing scalable backends with RAG indexing, vector embeddings (Firestore Vector Search), Docker, and Azure cloud deployments.
Personal & Status
Loading...
Fetching Last.fm
Active contributions in the last year.
Loading...
Production
portfoliov2
Preview
A Personal Note
I build software because the problem deserves a solution. Almost every project I've built—from ClarityUX and AI Workforce Planning to Sunflower AI—started from real friction rather than theoretical exercises. I focus on fewer moving parts, clean mental models, and invisible engineering that leaves users feeling effortless.

Dr. M.G.R Educational and Research Institute
Master of Computer Applications (CGPA: 8.05) (2023 - 2025)
SRM Institute of Science and Technology
B.Sc. Computer Science - CGPA 8.6 (2020 - 2023)
"Technology is a means; the product is the outcome. Simplicity is sophistication. Engineering should disappear—users shouldn't notice architecture or AI complexity, only that it feels effortless."
Developer Philosophy & Pillars
The core principles that shape my day-to-day engineering, systems architecture, and product design.
Systems over Features
Thinking in workflows, pipelines, agents, infrastructure, and automated decision-making rather than static pages or isolated buttons.
Invisible Engineering
Building architecture where backend complexity, AI pipelines, and infrastructure vanish into an effortless user experience.
Design as Communication
Reducing cognitive load, directing attention, and telling stories through cinematic, typography-first restraint without AI slop.
AI to Augment People
Building machine learning systems that recommend, analyze, and assist while keeping human autonomy firmly in control.
Insights & Architecture
Exploring the intersection of generative models, system performance, and digital craftsmanship.
Contact Me
Available for production full-stack AI engineering, multi-provider LLM orchestration, and computer vision systems consulting.



