macky.
Open to backend, platform & AI engineering roles (India / remote)

Mohammed Aman Khan

Senior Software Engineer · Payments, Platform & Applied AI

I architect and deliver production systems across payment infrastructure, AWS-hosted platforms, and applied AI. Work spans service design on Kubernetes, event-driven serverless data planes, and LLM-backed features with strict tenancy, observability, and cost controls.

  • Platform reliability and SLO-driven delivery
  • Security, tenancy, and cost at scale
  • Production LLM features with retrieval and tool calling

About me

About

I am based in Bengaluru and work as a senior engineer across backend, cloud, and full-stack surfaces. I stay close to new tooling, but decisions are driven by what holds up in production, not what is trending.

Strong delivery starts with clarity on business constraints, customer impact, and operational burden. I partner with product and stakeholders to lock requirements before engineering work expands.

I lean toward simple designs that teams can operate and evolve. I ask direct questions, document tradeoffs, and invest in observability and safe rollout patterns so incidents are rare and recoverable.

Core stack

Technical skills

Languages, platforms, and AI capabilities shaped by years of shipping production backends and client applications.

Languages

  • Python
  • TypeScript
  • JavaScript
  • HTML
  • CSS
  • Dart (beginner)
  • Bash (beginner)

Frameworks

  • FastAPI
  • Next.js
  • Express
  • Serverless
  • Node.js
  • React
  • Redux Toolkit
  • Flutter
  • GetX

Full-stack

  • REST & OpenAPI APIs
  • GraphQL (AppSync)
  • React + TypeScript UIs
  • Serverless & event-driven backends
  • Auth flows (Cognito, SSO)
  • End-to-end feature ownership

Tools & data

  • Firestore
  • PostgreSQL
  • Vespa DB
  • Kafka
  • Docker
  • Kubernetes (beginner)
  • Git

AWS

  • EKS
  • Lambda
  • API Gateway
  • AppSync
  • Cognito
  • DynamoDB
  • S3
  • CloudWatch
  • IAM (beginner)

Platforms

  • Firebase
  • GCP (beginner)
  • GitLab CI/CD (beginner)
  • Jenkins (beginner)

AI & ML

  • Azure OpenAI
  • OpenAI-compatible APIs
  • Google Gemini
  • Prompt engineering & evals
  • Embeddings & vector search
  • Retrieval-Augmented Generation (RAG)
  • Agentic orchestration & tool calling
  • LLM + OpenAPI backends
  • Keras (classical ML)

Leadership & craft

  • Technical leadership
  • Ownership & delivery
  • Documentation
  • System design
  • Cross-functional collaboration

Work history

Experience

Senior-level ownership across payment platforms, AWS serverless and Kubernetes stacks, and applied AI. Scope includes architecture, security boundaries, delivery automation, and measurable business outcomes.

Juspay

Software Development Engineer

November 2024 to Present · Bengaluru

  • Merchant cost observability (Hyperswitch / IC++)

    • Designed and shipped self-serve analytics for interchange-plus-plus pricing: consolidated fee breakdowns, drift detection, and tuning levers so merchants and internal finance could reason about margin without ad hoc extracts.
    • Partnered with product on metric definitions and data contracts so dashboards stayed trustworthy as pricing rules evolved.
  • Telemetry-based anomaly detection and cost optimization

    • Owned the end-to-end design of a scoring service over live card payment streams: prioritization, root-cause hints, and operator-facing remediation steps.
    • Contributed to roughly a ten percent reduction in card processing cost quarter over quarter by steering configuration toward healthier rails and fewer misrouted transactions.
  • Microservices and Kubernetes on AWS EKS

    • Extended internal payment microservices for sustained high concurrency: clearer service boundaries, safer rollouts, and failure isolation on critical paths.
    • Aligned capacity planning, metrics, and tracing with availability goals for merchant-facing APIs and downstream processors.
  • Internal agentic assistant (RAG + tool calling)

    • Built multi-step orchestration combining Vespa-backed retrieval-augmented generation, OpenAPI-bound tools, and per-user, per-tenant authorization.
    • Grounded responses in internal APIs and documentation to shorten incident triage and reduce reliance on static runbooks.

Softway

Software Engineer II

August 2022 to November 2024 · Bengaluru

  • Culture+ Counter: enterprise survey and analytics platform

    • Led end-to-end engineering for surveys and analytics on the Culture+ model: metric design, data model, and reporting that held up in leadership and audit conversations.
    • Delivered workflows that connected measurement to follow-up actions for HR and executives, not only static dashboards.
  • Event-driven survey pipeline (DynamoDB, Lambda)

    • Cut median submission latency about thirty percent by shifting heavy aggregation to DynamoDB-triggered workers with asynchronous, horizontally scaled processing.
    • Separated hot write paths from batch backfills so user-facing latency stayed stable under load.
  • GraphQL layer and deployment engineering

    • Introduced AWS AppSync where typed queries and subscriptions fit the product, integrated with the existing Lambda and DynamoDB data plane.
    • Reduced manual production steps about seventy percent via scripted pipelines, environment promotion rules, and repeatable release checks.
  • Identity, authorization, and data isolation (Cognito)

    • Hardened authentication with Amazon Cognito and enforced user-scoped access patterns across sensitive DynamoDB datasets.
    • Constrained privileged operations through reviewed code paths to lower the blast radius of configuration mistakes.
  • ML-backed insight ranking

    • Implemented a ranking pipeline using pairwise comparison and K-means clustering so generated insights aligned with product priorities.
    • Packaged ranked output for sales and customer success as a repeatable narrative in enterprise deals.
  • React platform: API clients and cross-cutting concerns

    • Established Axios interceptor patterns for auth headers, structured errors, and retry policy across a growing React and TypeScript codebase.
    • Gave feature teams consistent contracts as REST and GraphQL surfaces expanded.
  • Culture+ Admin: greenfield B2B CRM

    • Owned architecture and delivery for a new CRM covering onboarding, entitlements, and product allocation from first commit through production traffic.
    • Supported roughly twenty percent revenue growth by replacing multi-day manual onboarding with guided, auditable automation.
  • Enterprise SSO and login performance

    • Integrated SSO and third-party identity providers for large tenants with clear session and token lifecycle handling.
    • Improved median login time about fifty-five percent by streamlining the primary authentication path and removing redundant steps.

Baliza

Software Engineer

August 2021 to May 2022 · Remote

  • Velor: Flutter client for live video and calling

    • Built cross-platform streaming and in-app video calling on ConnectyCube with emphasis on resilience on residential WiFi and variable devices.
    • Profiled and tuned bitrate, buffering, and reconnection to reduce frozen frames during sustained sessions.
  • Realtime control plane (Firebase)

    • Specified compact control messages for recording, lullabies, and alerts to keep payloads small and latency predictable.
    • Used Firebase Realtime Database for ordered, sub-second signaling and remote device commands.
  • Street Runner: Web3 marketing stack (React)

    • Delivered a multilingual React front end with MetaMask connect, event listings, and regional campaign scheduling for a crypto racing title.
    • Structured CMS-friendly content so marketing could ship locales without per-market engineering tickets.

Selected work

Projects

Production-adjacent work and public repos—NLP/voice, serverless SaaS, mobile, and full-stack experiments.

Samantha

  • Python
  • Keras
  • NLP
  • pyttsx3
  • Speech recognition

Voice-first assistant: on-the-fly phrase learning, task execution from speech, and scripted automation with device-level control—research-oriented NLP side project.

  • Keras DNN + NLP for core conversational routing and intent handling.
  • Low-latency voice loop: speech recognition, pyttsx3, and multi-threaded I/O.
  • Incremental phrase learning plus keyboard/mouse hooks for repeatable desktop workflows.

Culture+ Counter

  • Python
  • AWS Lambda
  • DynamoDB
  • Cognito
  • TypeScript
  • React
  • Redux

Enterprise survey and analytics product on the Culture+ framework—measurable culture signals and action-ready reporting for HR and leadership.

  • Serverless data plane: Cognito-scoped access, DynamoDB-backed survey lifecycle.
  • React + Redux admin and author tooling for launch, monitoring, and operations.

Culture+ Admin

  • Node.js
  • TypeScript
  • AWS Lambda
  • DynamoDB
  • Cognito

Greenfield CRM for the Culture+ suite: client onboarding, product allocation, and day-two operations at scale.

  • Built from scratch for onboarding, entitlements, and product assignment under load.
  • Tenant-scoped serverless backend: Cognito + DynamoDB isolation patterns.

E-COM

  • React
  • Express
  • JavaScript
  • Firebase Hosting

Full-stack e-commerce style site: Express API (hosted on Render) and React UI on Firebase Hosting—split deployment with a clear client–server boundary.

  • React front end with Yarn-based dev workflow; Express backend exposed for catalog and checkout flows.
  • Production-style hosting: API on Render, static and SPA assets on Firebase.

Nearby Hospital Locator

  • Flutter
  • Dart

Flutter app that reads the device location and surfaces up to thirty nearby hospitals—map-centric UX with permissions and markers.

  • Location-driven discovery with map integration for at-a-glance hospital proximity.
  • Documented flows in-repo with screenshots for onboarding and marker interactions.

Realtime team chat (Flutter)

  • Flutter
  • Dart
  • Firebase Auth
  • Cloud Firestore
  • Firebase Storage
  • FCM
  • Agora RTC

Cross-platform Flutter client for Slack- and WhatsApp-style messaging: Firebase-backed identity and data, Agora for voice and video, and modern chat UX in one app.

  • Firebase Auth for accounts and session lifecycle; Firestore for conversations, membership, and ordered message streams; Storage for media; FCM for push.
  • Agora RTC for in-app voice and video calls tied to threads and participants—no separate dialer flow.
  • Product surface inspired by Slack and WhatsApp: direct and group threads, channels or spaces as needed, presence, typing and read receipts, reactions, and rich media previews.

Chatbot

  • Python
  • Keras
  • Flask

Small Keras-backed conversational API: trained weights bundled as HDF5, served behind a lightweight Python app for inference.

  • Neural model packaged as chatbot.h5 with Flask entrypoints for request/response handling.
  • JSON-driven training data and Heroku-style deployment artifacts (Procfile, runtime).

Foundation

Education

CMR Institute of Technology

Bachelor of Engineering in Computer Science

Bengaluru, India

July 2018 to July 2022

Contact

Hiring? Let's talk

Recruiters and hiring managers: I'm open to full-time backend, platform, and AI-adjacent engineering roles. Email or LinkedIn for the quickest reply, or book a time—resume linked below.

© 2026 Mohammed Aman Khan · Bengaluru, India