Open to Opportunities

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.

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Chandra Prakash S

Selected Work

Production systems built from real operational friction. Built for invisible reliability, direct utility, and human control.

Full-Stack AI Architecture • Multi-Tenant Systems & Agentic Workflows

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.

Next.js 16FastAPIPythonTypeScriptSQLAlchemy 2.0+6 more
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Company Experience • AI Vision & LLM OrchestrationSoftware Engineer @ ClarityUX

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.

Conversational AIGenerative AIFeedback SystemPythonFastAPI+5 more
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Generative AI, Recommendation Systems & Vector SearchML & Systems Architect @ Altruisty

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.

Gemini APIGemini EmbeddingsFirestore Vector SearchTelegram Bot CompanionPyTorch+6 more
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Voice AI & Interactive Companion

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.

Next.js 15React Three FiberGemini Live APIWeb Audio APIFirebase+2 more
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Systems & Low-Level Engineering

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.

CLinux KernelAndroid AOSPGitSystem Performance
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Other Engagements

Strategy & Leadership

AI Infrastructure & Multi-LLM Routing

Architecting resilient multi-provider LLM inference pipelines (Gemini, Claude, OpenAI, Groq) with automated failover routing and cost/latency tuning.

LLM FallbackFastAPIPythonCost Optimization

Realtime Voice & Multimodal AI

Building ultra-low latency WebRTC & LiveKit audio streaming pipelines for conversational voice assistants and speech synthesis.

WebRTCLiveKitVoice AIFastAPI

Open Source & Hackathons

Building community AOSP custom kernel projects, participating in tech hackathons, and contributing to open-source developer tooling.

Open SourceAOSP KernelHackathonsC / C++

Cloud & Vector Search Infrastructure

Designing scalable backends with RAG indexing, vector embeddings (Firestore Vector Search), Docker, and Azure cloud deployments.

Vector SearchAzureDockerRAG Pipeline

Personal & Status

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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.

Chandra Prakash Portrait
Academic Degrees

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."

Philosophy on AI Engineering

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.

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Contact Me

Available for production full-stack AI engineering, multi-provider LLM orchestration, and computer vision systems consulting.