Skip to content
View 5mokshith's full-sized avatar

Block or report 5mokshith

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
5mokshith/README.md

Mokshith Rao

Backend engineer at Flashback Labs. Karimnagar, India.

I work on backend and infrastructure — Node and Go services, Postgres, and SQS-driven pipelines on AWS. Most of what I build at work is in private repos, so briefly, what it is:

ImageShield — likeness-monitoring platform. Node/TypeScript/Fastify and Python/FastAPI over Postgres 16, across 10 containerised services on AWS ECS. Eliminated IDOR across 103 HTTP routes with a build-failing test driven off the live route table. 74 reversible migrations gated in CI by an apply, rollback and diff pipeline.

Legacy Mode — the Node/Express backend behind a production AI product, built across 23 phases. Cut voice first-audio latency about 10x after benchmarking four TTS vendors on latency and cost. Cross-process realtime delivery over Postgres LISTEN/NOTIFY rather than adding a pub/sub dependency.

Media pipeline — Go and TypeScript ingestion on SQS, DynamoDB and S3. Bounded-concurrency Go workers running ONNX face detection, and a three-tier dedup stage that removed 34.5% of jobs as URL duplicates and another 4.6% as exact content duplicates.

What's here

AutoDev — browser-based AI code editor. Runs a full Node runtime in the browser through WebContainers, with agents across Gemini, OpenAI and Groq. Built Jan–Mar 2026; mine apart from six commits from a collaborator.

Portfolio — source of mokshith.vercel.app.

CardioGuard — cardiac arrest detection from real-time ECG signals. Built with a team; won at a hackathon.

Qconn — Q&A platform for campus knowledge sharing.

Stack

TypeScript, Go, Python, SQL · Node.js, Express, Fastify, FastAPI · PostgreSQL, DynamoDB · AWS (ECS, SQS, S3, IAM, Secrets Manager), Terraform, Docker · React, Next.js


mokshithrao1481@gmail.com · LinkedIn · mokshith.vercel.app

Pinned Loading

  1. Portfolio Portfolio Public

    Source of my portfolio. HUD chrome, duotone hero, live request trace, production counters that aren't vanity rounded.

    TypeScript 1 1

  2. CardioGuard CardioGuard Public

    CardioGuard is an AI-powered cardiac health monitoring and alert system that detects early signs of cardiac arrest using real-time sensor data and machine learning, instantly notifying emergency co…

    Python 1 1

  3. Trefloo-Landing Trefloo-Landing Public

    Trefloo is a travel-tech platform that curates personalized, culture-rich journeys using AI and local insights. Discover hidden destinations, connect with local hosts, and experience travel beyond …

    JavaScript 1

  4. AI_powered_chatbot AI_powered_chatbot Public

    This project is an AI-powered chatbot designed to provide intelligent and context-aware responses to user inputs. The chatbot leverages advanced natural language processing techniques to understand…

    Python

  5. Qconn Qconn Public

    Qconn is an innovative platform designed to connect students, teachers, and seniors to share knowledge and solve problems together. This project includes various features such as user authenticatio…

    HTML 1

  6. Todo Todo Public

    A modern, responsive Todo application built with vanilla JavaScript, HTML, and CSS.

    CSS