AMResume
Open to Backend, Python, FastAPI, and Applied AI Roles

Musrif Abhinav

Backend engineer building product systems and applied AI workflows

I build backend-heavy product systems across Python, FastAPI, PostgreSQL, Docker, Android, Next.js, CLI workers, applied AI workflows, deployment automation, and release infrastructure.

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Open to Backend & Python RolesPythonFastAPIPostgreSQLDockerREST APIsApplied AI WorkflowsDeveloper ToolsProduct Engineering

What I build

Backend systems, AI workflows, and release infrastructure

Available

Main work

FastAPI backends, PostgreSQL data models, REST APIs, auth, billing, deployment workflows, and product delivery.

Also interested in

Developer workflow tools, AI-agent evaluation, Android-ready delivery, CLI workers, and production hardening.

Toolkit

PythonFastAPIPostgreSQLDockerREST APIsGitHub ActionsFirebase IAMRazorpayNext.jsAndroid/Kotlin

About

Backend, product, and applied AI work

I build product infrastructure across backend systems, deployment workflows, integrations, developer workflows, and practical product delivery.

Professional summary

I'm a backend engineer based in Hyderabad. At Amretra Dynamics, I'm building Megas Moves, a developer workflow product that helps keep AI coding agents aligned with project context, tasks, decisions, and execution evidence.

Approach

My work sits between backend engineering and product delivery: designing APIs, modeling data, connecting services, building deployment paths, debugging failures, and making systems usable beyond the demo stage.

Skills

Tools and systems I work with

The emphasis is on backend engineering and product systems: APIs, data models, auth, billing, deployment, frontend surfaces, mobile delivery, and applied AI workflows.

Top Skills

PythonFastAPIPostgreSQLREST APIsDocker

Languages

PythonTypeScriptJavaScriptKotlinSQLC++

Backend & Infrastructure

FastAPIREST APIsAsync ProgrammingPostgreSQLJSONB ModelingSQLAlchemyDockerLinuxMicrosoft AzureGitHub ActionsCI/CDGitDistributed Systems

AI & Data Systems

LLM OrchestrationRAG PipelinesSemantic RetrievalVector DatabasesEmbeddingsAI AgentsAgent EvaluationExecution EvidenceAI Workflow Automation

Frontend & Product UI

Next.jsReactTypeScriptTailwind CSSProduct DashboardsWorkflow InterfacesResponsive UI Systems

Mobile & Android

AndroidKotlinJetpack ComposeMaterial 3APK Build FlowMobile Product Surfaces

Integrations & Security

IAMOAuth 2.0Firebase IAMGoogle AuthenticationSession HandlingPayment Gateway InfrastructureRazorpay BillingEntitlement Surfaces

Testing & Reliability

API TestingMigration FixesStartup HardeningDeployment DebuggingWorkflow ValidationHidden Regression ThinkingProduction Issue TriageAgent Run StateCheckpointsHeartbeatAPK Update FlowSHA-256 Release Verification

AI Development Environments

CodexCursorGoogle AntigravityWindsurfVS Code

Featured Work

Selected projects

Selected work across my current product build and public engineering repos: backend systems, developer tooling, applied AI evaluation, and automation.

Current build · paid closed product

Megas Moves

Megas Moves is my current flagship product at Amretra Dynamics: a developer workflow system built across a FastAPI backend, Android app, Next.js website, CLI worker runtime, authentication, payments, update delivery, deployment health checks, and release automation.

PythonFastAPIPostgreSQLTypeScriptNext.jsKotlinAndroidDockerNginxGitHub ActionsFirebase IAMOAuth 2.0RazorpayCLI Worker
Project highlights
  • Built backend services with Python, FastAPI, PostgreSQL, and Docker.
  • Developed APIs for auth, mobile updates, chat/context sync, payments, entitlements, worker sessions, and deployment health checks.
  • Built a native Android app with Kotlin and Jetpack Compose.
  • Built the product website and documentation hub with Next.js and TypeScript.
  • Designed a CLI worker flow for connecting local workspaces to cloud-managed tasks.
  • Set up Docker, Nginx/SSL, GitHub Actions, APK publishing, SHA-256 verification, and release automation.
  • Kept the paid product source private while documenting safe public product surfaces.

Public repo · AI agent evaluation

Software Lifecycle Env

Software Lifecycle Env is a public Python benchmark environment that tests whether AI agents can inspect realistic engineering context, apply safe fixes, run validation, and avoid visible-case-only patches.

PythonFastAPIPydanticAgent EvaluationHidden Regression ChecksOpenEnvDocker
Project highlights
  • Built typed observation and action models with Pydantic.
  • Designed deterministic tasks for testing diagnosis, root-cause debugging, and safe maintenance.
  • Added hidden regression checks and anti-gaming controls.
  • Wrapped the benchmark with a FastAPI server.
  • Added benchmark quality scripts, contributor docs, security policy, and issue templates.

Public repo · developer tooling

Overwatch

Overwatch watches a local backend process, captures crash context, analyzes likely root cause, estimates blast radius, and generates a postmortem with verification and rollback guidance.

TypeScriptNode.jsExpressDockerDeveloper ToolsIncident Triage
Project highlights
  • Built a TypeScript watchdog flow for backend process failures.
  • Captured stderr/stdout, exit codes, timestamps, and runtime metadata.
  • Parsed stack traces and scanned nearby workspace context.
  • Generated postmortems with root cause, patch proposal, rollback guidance, and verification steps.
  • Kept automation read-only by default with human approval boundaries.

Experience

Backend product engineering

Current work across backend systems, developer workflow infrastructure, deployment, auth, billing, and delivery.

Amretra Dynamics

Back End Developer

Backend Engineer / Product Builder

Jan 2026 - PresentHyderabad, India

Building Megas Moves, a developer workflow product for managing context and coordination around AI coding agents.

  • Built backend services with Python, FastAPI, PostgreSQL, and Docker.
  • Developed APIs for authentication, mobile app updates, chat/context sync, payments, entitlements, worker sessions, and deployment health checks.
  • Built a native Android app with Kotlin and Jetpack Compose.
  • Built the product website and documentation hub with Next.js and TypeScript.
  • Designed a CLI worker flow for connecting local development environments to cloud-managed tasks.
  • Set up deployment workflows, Docker containers, Nginx/SSL, health checks, APK publishing, SHA-256 verification, and release automation.

Current Focus

What I am building depth around

I'm currently focused on Megas Moves at Amretra Dynamics: building developer workflow infrastructure across backend systems, mobile context capture, CLI workers, AI-agent coordination, deployment, and release delivery.

Focus

Backend services for developer workflows

FastAPI services, PostgreSQL-backed product state, worker sessions, mobile updates, payments, entitlements, and deployment health checks.

Backend

Mobile and web product surfaces

Kotlin/Jetpack Compose Android surfaces, Next.js documentation and download flows, and product pages that explain the developer workflow clearly.

Worker Runtime

CLI worker coordination

A local worker model for connecting trusted workspaces to cloud-managed tasks through leases, ordered events, and execution evidence.

Agents

Applied AI and agent evaluation

Public proof work around agent evaluation, hidden regression checks, safe maintenance tasks, and realistic software lifecycle workflows.

Release

Deployment and release infrastructure

Docker, Nginx, GitHub Actions, VPS deployments, APK publishing, SHA-256 verification, health checks, and release rollback thinking.

Product Infra

Authentication, billing, and integration reliability

OAuth/Firebase authentication patterns, payment flows, entitlement surfaces, session handling, and integration reliability.

Hiring

Backend role readiness

Looking for backend, Python, FastAPI, applied AI, or startup engineering roles where practical product-building experience is valued.

Education & Certifications

Academic background and credentials

Computer science education with cloud, database, and deep learning credentials.

Education

Vellore Institute of Technology, Chennai

Bachelor of Technology, Computer Science and Engineering

Sep 2021 - Sep 2025

Sri Chaitanya College of Education

Intermediate Education, MPC

May 2019 - May 2021

Certifications

Microsoft Azure AI Fundamentals

Microsoft

NVIDIA DLI - Fundamentals of Deep Learning

NVIDIA DLI

Distributed Database System: CouchDB

Vellore Institute of Technology

Aug 2024 · Credential ID vit202406080022

AWS Academy Graduate - Cloud Foundations

AWS

Aug 2023 · Credential ID f5495484-44e7-487d-b7a7-9d7069dc0967

Notes

Builder notes

Short notes on shipping AI products, backend clarity, product memory, retrieval, and applied AI execution.

013 min read

Building AI systems that actually ship

Why useful AI products depend on backend systems, data flow, deployment, and product clarity.

Read note
022 min read

Why backend clarity matters in AI products

Clean APIs, clear state, and reliable workflows make AI systems easier to ship and debug.

Read note
033 min read

Product memory, retrieval, and agentic workflows

How semantic retrieval and memory layers can make AI product experiences more grounded.

Read note
043 min read

Applied AI engineering for AI products

Turning product requirements into deployed AI-backed systems instead of isolated demos.

Read note

Links

GitHub, LinkedIn, and resume

Find my code, experience, and resume here.

GitHub

@Build4mBottom

Code profile, projects, and product engineering work.

LinkedIn

musrifabhinav

Backend engineer profile, experience, and professional background.

Resume

PDF

One-page resume for backend, Python, FastAPI, and applied AI roles.

Contact

Build with me

For backend engineering roles, Python/FastAPI roles, applied AI work, or serious product engineering conversations, reach out by email.

Best for backend engineering roles, Python/FastAPI roles, applied AI product work, and serious product engineering conversations.