BuildThink.

BUILDTHINK · BY SAI KRISHNA

Think deeply.
Build practically.

Engineering leader, hands-on builder and problem solver with 20+ years across enterprise platforms, startups, cloud systems, data pipelines and AI-assisted software engineering.

WORK

A career built around solving problems.

2020 — now

Optum Health Technology

Manager, Software Engineering · Hands-on

Leading enterprise platforms while staying close to architecture, coding, cloud, APIs and data engineering. Built and modernized ingestion and retrieval systems, including a pipeline reduced from 7 days to 30 minutes for 1M+ monthly records.

PythonAirflowAWSKubernetesKafkaAPIs
2015 — 2019

Manufacton · US Startup

Founding Engineer → Technical Architect → Engineering Lead

Joined as the first engineer and built the product from the ground up. For an extended period I was the sole engineer, owning architecture, backend, frontend, data models, infrastructure and delivery before hiring, mentoring and building the engineering team.

Built hybrid mobile applications for both Android and iOS using Ionic, extending the product into field workflows including QR-code-based tracking.

Node.jsPythonMongoDBAWSAngularVueIonicAndroidiOS
2012 — 2015

Hidden Reflex · Epic Privacy Browser

Lead Engineer · Startup

Worked across Chromium/macOS engineering, C++ and Objective-C, Python services and networking. Built SPDY-based encrypted proxy infrastructure with Node.js and TCP/IP tuning.

C++Objective-CNode.jsPythonNetworking
2003 — 2012

Systems → Enterprise Engineering

LxLabs · Unitus · Innominds · Solugenix · TLI · HCL

Started close to the systems layer with LxLabs: Linux administration, C, PHP, Apache, DNS, email infrastructure, networking and server management. Later moved through enterprise application development, cloud, Python and open-source work including OpenStack Keystone.

BUILD

Things I've built — from systems to AI.

I like working close to the problem: understand the system, build the difficult parts, scale them, and keep learning. These are a few chapters that shaped how I engineer.

DATA · PERFORMANCEOPTUM

7 Days → 30 Minutes

Modernized a large-scale retrieval ingestion workflow processing 1M+ monthly records, reducing processing time from seven days to about 30 minutes through Python, Airflow, APIs and Salesforce Bulk API 2.0.

PythonAirflowData PipelinesAPIs
PRODUCT · 0 → 1US STARTUP

Manufacton

Joined as the first engineer and built the product from the ground up. For an extended period I was the sole engineer, owning architecture, backend, frontend, data models, infrastructure and delivery before hiring and growing the engineering team.

Built hybrid mobile applications for both Android and iOS using Ionic, extending the platform into field workflows including QR-code-based tracking.

Node.jsPythonMongoDBAWSVueIonicAndroidiOS
SYSTEMS · NETWORKINGHIDDEN REFLEX

SPDY Proxy — Adapt, Scale, Operate

Adapted an existing Google-engineered SPDY proxy implementation for Epic Privacy Browser, then extended, tuned and scaled it on the company's infrastructure. Worked hands-on with Node.js, TCP/IP, TLS/encryption and Linux/AWS systems to provide an in-house encrypted proxy capability.

Node.jsSPDYTCP/IPTLSAWS
View related code on GitHub →
OPEN SOURCE · CLOUD SYSTEMSEARLY CAREER

OpenStack / Keystone

Worked on the early Keystone effort around identity, authentication and authorization infrastructure in Python. The project became OpenStack's Identity service, providing authentication, authorization and service discovery for the OpenStack ecosystem.

PythonOpenStackIdentityAPIsCloud
Explore GitHub →
SYSTEMS · LINUXLXLABS

Linux & Server Foundations

Started my career close to the systems layer at LxLabs, working on LXAdmin. Hands-on work included Linux, C, PHP, Apache, DNS, email servers, networking, server administration and early virtualization concepts — often working through keyboard-driven Linux environments.

LinuxCNetworkingDNSApache
NOW · AIEXPLORING

AI Agents & RAG

Currently building hands-on experience with AI agents, RAG architectures, tool integration and LLM-driven workflows. I'm interested in the engineering beneath the model: context, retrieval, orchestration, evaluation, APIs and production reliability.

AI AgentsRAGLLMsTool Calling
PRODUCT · INDEPENDENTWORKFLOQ

Workfloq

A product I'm building around maintenance and operations workflows, exploring SaaS architecture, multi-tenancy, APIs and practical product engineering outside the day job.

SaaSArchitectureAPIsProduct

THINK

Ideas worth writing down.

NOW

Still learning. Still building.

My current focus is the intersection of engineering leadership and hands-on development: AI-assisted software engineering, cloud platforms, data pipelines, APIs and building products outside the day job.

The title may change over time. The approach doesn't: understand the problem, think through the system, build it, and make it work.

CONTACT

Have an interesting problem?

I prefer to keep my email and phone private. Connect through LinkedIn or GitHub.