Available for full-time · US startups · Remote

Parbhat Kapila · Full-Stack Engineer

Building
Production AI
Systems

Ship to production, then keep it running.

Shipped and operated live production systems. Reduced onboarding 75%, cut infra costs 95%. I build internal AI tools, RAG infrastructure, and data-heavy SaaS and ship them to production. Fast, cheap, reliable under real traffic.

100K+
LOC indexed
99.9%
Uptime
75%
Onboarding cut
Let's Build SomethingView Resume
Parbhat Kapila - Full Stack Engineer
Full-Stack Engineer · Featured Work

Production AI Systems

Production systems I ship and operate. Measurable outcomes, real users.

Pipeline Intelligence

Sentinel

Detects deals that are starting to stall before it's visible in a CRM. It models time decay, stage velocity, and engagement signals from live pipeline data. Fast, explainable, and designed for real integration load.

Before

Deals die silently. CRM shows green until the opp is gone. You find out when it's too late.

After

Explainable risk scoring. Most AI is a black box. This shows why. See which deals are rotting before they slip. Sub-250ms.

<250ms
Query latency
Live sync
CRM & calendar sync
Predictive
Explainable risk scoring
99.9%
Continuous uptime
Next.jsTypeScriptPostgreSQLPrismaRedisOpenRouterWebhooks
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Engineering Infrastructure

RepoDocs

Automated code documentation system processing 200+ repositories and 100K+ LOC. Reduced onboarding time by 75% with 92% relevance accuracy, serving engineering teams at scale.

Before

New hire? 2-3 days lost in READMEs and scattered docs. 'Where does X happen?' Nobody knows.

After

100% cited answers. No hallucination. 92% relevance at 100K+ LOC scale. Ask in plain English, get results in under a second. One query instead of days.

<1s
Query latency
TOP-5
deterministic retrieval
~75%
Onboarding time saved
100%
Citation answers
Next.jsTypeScriptPostgreSQLpgvectorGeminiOpenRouterGitHub APIStripe
Source Visit
AI-Powered Email

VectorMail

AI-powered email client with semantic search and smart composition. Connect Gmail via Aurinko, sync threads, search by meaning (pgvector), and compose or reply with AI. One app: inbox, semantic search and AI, no separate vector store.

Before

Gmail: keywords only. 'Find that email about the pricing conversation.' Good luck.

After

One DB for inbox and vectors. Semantic search across 10k+ threads. 'Emails about pricing.' Instant. Inbox and AI in one place.

Sub-second
10k+ emails
One DB
inbox + vectors
By meaning
not keywords
AI compose
thread context
Next.js 15TypeScripttRPCPrismaPostgreSQLpgvectorClerkAurinkoOpenRouterGemini
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View all projects on GitHub
Tech Stack

Tech Stack (Production)

Frontend (Product UI)

TypeScript, React, Next.js (App Router), Tailwind CSS

Backend & APIs

Node.js, Python, FastAPI, Express.js, REST APIs, WebSockets

AI Systems (Production)

OpenAI / GPT-4, LangChain, RAG pipelines, pgvector, embedding search, LLM orchestration

Data & Infrastructure

PostgreSQL, Redis, Object Storage (S3), queues / async processing

Cloud & Deployment

AWS (EC2, S3, RDS), Docker, Vercel, CI/CD (GitHub Actions)

Architecture & Practices

Multi-tenant SaaS, distributed systems, event-driven design, system design, performance optimization

About Parbhat Kapila

Full-Stack & AI: Expertise & Impact

System Architecture

Designing scalable, production-grade systems from the ground up. Built multi-tenant SaaS architectures with isolated data models, auto-scaling infrastructure for real production workloads, and cost-optimized deployments driven by architectural tradeoffs, reducing infrastructure spend by 95% without sacrificing reliability.

AI/ML Production

Productionized LLM and RAG systems backed by vector databases at scale. Built retrieval pipelines processing 10,000+ documents with 94%+ accuracy, optimized pgvector queries for sub-200ms latency, and implemented multi-provider LLM orchestration with GPT-4 and resilient fallback strategies.

Performance & Optimization

Driving measurable business impact through technical optimization. Reduced per-document processing costs from $5.00 to $0.05 through architectural changes and chunk reuse, achieved sub-200ms semantic search latency under load, and maintained 99.9% uptime across live production systems.

Full-Stack Ownership

Building and operating production systems used by real users daily. Independently responsible for technical decisions, feature delivery, deployments, monitoring, and post-launch reliability across TypeScript, Next.js, Python, PostgreSQL, Redis, AWS, and Vercel. Owning systems from first commit through live operation.

I'm an AI-focused full-stack engineer building production systems used by real teams. Over the past three years, I've shipped and operated live products handling large data volumes and reduced operational costs by 95%.

I specialize in turning complex AI pipelines into reliable software retrieval, vector storage, and model orchestration optimized for low latency (sub-200ms), high accuracy (94%+), and real production constraints.

I'm seeking a full-time role at an early-stage startup where execution matters and engineers are trusted to ship systems that deliver measurable business value.

Professional Journey

Full-Stack & AI Engineer Experience

May 2022 - Present

Full-Stack Engineer · AI Product Builder

Full ownership of system design, feature delivery, reliability, and iteration. Shipped Sentinel, RepoDocs, and VectorMail used by real teams.

Owned backend services, data stores, AI pipelines, and deployment infrastructure, including authentication, payments, and third-party integrations. Debugged production incidents, performance bottlenecks, and scaling limits while shipping improvements continuously without breaking live systems.

Next.jsTypeScriptPythonPostgreSQLRedisOpenAIpgvectorDockerAWS
Contact

Let's Work Together

Open to full-time remote engineering roles at US startups building production AI systems. Best fit for teams that value ownership, speed, and engineers who ship and maintain what they build. Comfortable aligning with US time zones and working directly with founders in fast-moving environments.

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Let's build together

Available for full-time roles

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