Engineering Lead · Backend & AI Infrastructure
I build end-to-end products that don't collapse after the demo.
I take ideas from zero to production, handling everything from the React frontend down to the database plumbing. I ship the whole thing, and I stick around for the pager alerts (especially the self-inflicted ones).
I currently manage a 6-VM fleet running 10 live services, because caring about the boring operational details is what prevents 3 AM outages.
10
live production services owned
6
VMs in the current fleet
94%
latency reduction at ByteLeap
20+
team scaled through hiring loops
Retired YouTuber. Temporarily. The comeback is probably this month.
Expertise
What I actually do all day.
Real-time voice systems
WebRTC, transcription, and low-latency audio pipelines. Because conversational AI is only cool until there's a three-second delay and everyone talks over each other.
Production AI & RAG
Hybrid retrieval, ingestion pipelines, and fault-tolerant embeddings. Getting AI to work in a notebook is easy, but keeping it accurate in production is a completely different job.
Fullstack & UI Engineering
React, Next.js, PWAs, and interfaces that don't look like they were designed by a backend engineer. Because a brilliantly architected API is useless if the buttons don't work.
Platform and tenant safety
RBAC, audit logging, usage quotas, and hard data isolation. Because finding out your tenants can see each other's data is a terrible way to start a Tuesday.
Infrastructure and operations
CI/CD, Docker, and managing VM fleets with actual operational discipline. I keep services running smoothly so I don't become the person who ruins everyone's weekend.
Sensitive data systems
End-to-end encrypted pipelines and healthcare-grade data handling. This is the work where "good enough" is a massive liability, not a design philosophy.
About
I write code that survives contact with reality.
I like to see things through. I build complete, fullstack systems—from responsive Next.js frontends down to the infrastructure powering them—mostly so I have no one else to blame when something breaks.
Lately, I spend most of my time at the intersection of applied AI and product engineering. I build voice platforms, agent pipelines, and the infrastructure required to run them without setting your cloud budget on fire.
Being entirely self-taught just means I had to break a lot of things to figure out how they actually work. I care about snappy user experiences, measurable performance, and abstractions that don't make me want to quit my job.
Technical depth
Languages
TypeScript, Python, Java, SQL, Go, JavaScript
Frontend & UI
React, Next.js, Tailwind CSS, PWAs, TypeScript, Framer Motion
Backend
FastAPI, Spring Boot, Hono, Bun, Elysia, Node.js
Experience
Recent places I've kept the servers running.
Autonomix Solutions Inc
Engineering Lead, Fullstack & AI Infrastructure
Aug 2024 - Present
Architect and primary engineer across the entire stack—from UI down to infrastructure. Built a multi-tenant agentic AI platform, a Voice AI SaaS, a healthcare platform with E2EE and a Windows desktop component, and a Java enterprise meeting intelligence system — among ten-plus concurrent products shipped end-to-end for multiple enterprise clients.
- Built a multi-tenant agentic AI platform with a production RAG API, agents API (Answer, Chart, SQL, Voice), and full document ingestion pipeline. Serves as the backbone for enterprise deployments across multiple verticals.
- Architected a Voice AI platform for inbound/outbound calling with real-time WebRTC, live transcription, agent personas, and multi-channel delivery. Now being productized as SaaS.
- Built an Enterprise Workspace Intelligence Platform: PWA offline recording with Service Workers and S3 multipart upload, LLM evals across 7 dimensions, and a Java 21 Spring Boot microservices backend.
- Built a Healthcare Intelligence Platform end-to-end: Windows background service, E2EE data pipeline, FastAPI backend, and frontend — sole engineer across all five layers.
- Built a multi-agent document intelligence system that became the subject of a provisional patent filing.
- Own CI/CD, deployment, and operations for 10 concurrent production services across a fleet of 6 VMs.
- Led senior technical interviews across system design, DB internals, and message queues while scaling the team from 10 to 20+.
TypeScript · Python · Hono · ElysiaJS · FastAPI · PostgreSQL · Redis · RabbitMQ · WebRTC · AWS · GCP · Docker · GitHub Actions
ByteLeap
Software Engineer
Feb 2024 - Aug 2024
Fixed slow queries, sped up frontend delivery, and made the infrastructure bill significantly less painful.
- Reduced API latency by 94%, taking key requests from 7 seconds to roughly 400 milliseconds through query profiling and indexing work.
- Improved Next.js performance by about 50% using bundle analysis, dynamic imports, and caching.
- Migrated the product from Vercel to self-hosted infrastructure and cut platform cost significantly.
Next.js · TypeScript · PostgreSQL · Self-hosted infrastructure
Co.Lab
Software Developer
Jul 2023 - Nov 2023
Built ScamGuardian, a browser extension that detects sketchy URLs and attempts to teach users instead of just silently blocking them.
- Built scam-detection heuristics and scanning workflows on top of Chrome Extension APIs.
- Focused on educational UX so users understood why a site looked suspicious instead of only seeing a hard block.
Chrome Extension APIs · React · Next.js
Selected Systems
Systems I didn't abandon after a weekend.
Internal platform · 2024 - Present
Agentic AI Platform
A core agentic AI platform. A production RAG API and agents API that enterprise products are built on top of — not a wrapper around someone else's SDK.
- Multi-level tenant hierarchy (Organization → Environment → Tenant → Knowledge Bases → Documents) with hard isolation at every layer.
- Full document ingestion pipeline: PDFs, audio, and images routed through OCR (Mistral), transcription (Deepgram), structured parsing, chunking, and embedding into Weaviate — with async SQS processing so the API stays fast.
- Four production agents: Answer, Chart, SQL, and Voice. Multi-model from day one — Claude, GPT-4, Azure OpenAI, Gemini, and OpenRouter are all swappable at runtime.
- Distributed tracing with OpenTelemetry and async job status via webhooks. The boring stuff that makes it actually observable.
Enterprise — confidential · 2024 - 2025
Enterprise Workspace Intelligence Platform
A workplace intelligence platform that unifies Microsoft 365, Google Workspace, Gmail, Notion, and Slack into a single searchable brain — with voice recording, transcription, and an AI assistant that actually knows what happened in last Tuesday's meeting.
- Delta sync architecture across 6 enterprise data sources so the system stays current without re-ingesting everything from scratch on every run.
- PWA offline recording: MediaRecorder with 2-second chunked captures, IndexedDB storage, S3 multipart upload, and a Service Worker for background sync. Works when the network doesn't.
- LLM evaluation pipeline across 7 dimensions — task extraction, knowledge retrieval, user memory, decision tracking, response quality, tool selection, and voice interaction — because shipping AI without evals is just hoping for the best.
- Twilio phone number provisioning, unified semantic search across all sources, PostgreSQL + Weaviate for hybrid retrieval.
Enterprise — confidential · 2024 - 2025
Enterprise Java Platform
A large-scale enterprise Java platform spanning microservices, payments, scheduling, and a full React frontend — delivered across two phases for an enterprise client.
- Two-phase delivery: core platform first, then Payments, Square, Calendly, and self-serve onboarding.
- Java 21 Spring Boot microservices across 4 modules (common, context, integration, realtime) with Keycloak RBAC, Stripe, AWS CloudWatch, and Sentry.
- React 19 frontend with TanStack Query, Jotai, FullCalendar, Framer Motion, and Nango for 3rd-party API sync.
Enterprise — confidential · 2024 - 2025
Healthcare Intelligence Platform
End-to-end healthcare platform spanning a Windows background service, E2EE data layer, ingestion pipeline, FastAPI backend, and web frontend. Five layers, one engineer.
- Built a Windows background application for continuous passive data collection — the kind of requirement that makes most web engineers quietly close the laptop.
- End-to-end encryption across the full data pipeline. In a domain where a breach isn't just embarrassing.
- Sole engineer across all five layers: desktop service, ingestion pipeline, backend API, data layer, and frontend. No one else to blame when something breaks at 2 AM.
Core system · 2024 - Present
Voice AI Platform
A low-latency voice platform for inbound and outbound AI calling that actually sounds like a conversation.
- Real-time WebRTC streaming with live transcription, agent personas, and multi-channel routing across voice, WhatsApp, Slack, and embedded widgets.
- Built as a SaaS foundation — not a demo, not a proof of concept. Something you can bill customers for.
Diet Paglu
An AI nutrition tracker for Indian food that doesn't require you to manually input every grain of rice.
- Zero-friction logging through photos and voice. Because nobody wants to fill out a spreadsheet before eating dinner.
- Uses conversational AI to guess macros and track progress so you can just eat.
Skills
Things I know how to configure.
I don't care about shiny new things. I care about tools that let me ship without spending three days fighting the build system.
Languages
TypeScript · Python · Java · SQL · Go · JavaScript
Frontend & UI
React · Next.js · Tailwind CSS · PWAs · TypeScript · Framer Motion
Backend
FastAPI · Spring Boot · Hono · Bun · Elysia · Node.js
Data & State
PostgreSQL · Redis · Weaviate · AWS SQS · RabbitMQ · S3
Infra & Ops
AWS · Docker · OpenTelemetry · GitHub Actions · VM fleet management · CI/CD
Systems
Multi-agent orchestration · E2EE data pipelines · Real-time voice (WebRTC) · Event-driven architecture · Multi-tenant SaaS
Contact
If you have a hard problem, tell me about it.
Available for fullstack product and AI infrastructure roles. Show me a hard problem, a messy system, or a really weird bug, and let's talk.