Open to new opportunities

Ayush

Lead Software Engineer

Building scalable backend systems, cloud-native applications and AI-powered solutions using Python.

About

Engineer focused on systems that hold up at scale.

I design and ship backend platforms and AI systems that stay reliable under real-world load.

I'm a Lead Software Engineer with 8+ years of experience building distributed backend systems and cloud-native applications. Most of my work lives at the intersection of high-throughput APIs and the infrastructure that runs them.

On the backend side, I work primarily with Python and FastAPI, backed by PostgreSQL and Redis. I ship and operate these systems on AWS using Kubernetes, Docker, and Terraform, with delivery pipelines through Jenkins and observability via Prometheus and Grafana.

More recently I've been building production GenAI systems — retrieval-augmented generation pipelines and agentic workflows with RAG and LangGraph that ground LLMs in real enterprise data.

8+
Years experience
50k
RPS sustained
2M+
Documents indexed
40+
Services shipped
Tech Stack

The tools I reach for.

A focused stack — chosen for reliability, observability, and speed of delivery.

Backend

High-throughput APIs and distributed services.

Python
FastAPI
Pydantic
Celery
gRPC
Kafka
Featured Projects

Selected work, treated like a product.

Each project below includes the architecture, the hard parts, and the measurable results.

Enterprise RAG Assistant
IngestChunkEmbedQdrantLangGraphLLMFastAPI
Retrieval-augmented assistant for internal knowledge

Enterprise RAG Assistant

A production-grade retrieval-augmented generation assistant that grounds LLM answers in enterprise documents. Built with a chunking pipeline, hybrid vector + keyword search over Qdrant, and a LangGraph orchestration layer that supports multi-step reasoning, citations, and guardrails.

Challenge: Reducing hallucinations on a 2M-document corpus while keeping p95 retrieval latency under 300ms — solved with hybrid search, reranking, and a citation-grounding step in the graph.

94%
Accuracy
280ms
p95 latency
2M+
Documents
PythonFastAPILangGraphQdrantOpenAIRedisAWS
Distributed FastAPI Backend
ClientFastAPIRedisPostgreSQLKafkaWorkerAWS
High-throughput API platform serving millions of requests

Distributed FastAPI Backend

A horizontally-scalable FastAPI platform with async PostgreSQL, Redis caching, and Kafka-based event streaming. Designed for multi-region deployment on EKS with autoscaling, circuit breakers, and structured observability end-to-end.

Challenge: Sustaining 50k RPS during traffic spikes without degrading p99 — solved with Redis-backed idempotency, connection pooling via PgBouncer, and Kafka partitioning for backpressure.

50k RPS
Throughput
120ms
p99 latency
99.98%
Uptime
PythonFastAPIPostgreSQLRedisKafkaDockerKubernetes
Cloud-Native Microservices Platform
GitJenkinsTerraformEKSArgoCDPrometheusGrafana
Git-to-prod platform on Kubernetes with full observability

Cloud-Native Microservices Platform

An internal platform that takes services from commit to production on EKS using Terraform-provisioned infrastructure, ArgoCD GitOps, and a Prometheus + Grafana observability stack. Includes golden-path templates and SLO-based alerting.

Challenge: Cutting deployment lead time from days to minutes while keeping rollback safe — solved with progressive delivery, canary analysis, and infrastructure-as-code modules.

8 min
Lead time
3 min
Recovery
40+
Services
KubernetesTerraformArgoCDPrometheusGrafanaAWSDocker
Architecture

How the pieces fit together.

Two reference architectures I've built and operated in production.

01FastAPI
02Redis
03PostgreSQL
04Kafka
05AWS
06Kubernetes
Experience

A track record of shipping and operating.

Roles where I owned systems end-to-end — from design to production to on-call.

Technical Lead

Wipro

Apr 2025 – Present · 1 yr 3 mos

Full-time

  • Leading technical delivery of backend and AI initiatives across cross-functional teams.
  • Architecting LLM-powered automation pipelines using LangGraph and FastAPI on AWS infrastructure.
  • Driving engineering standards: code reviews, system design, and mentoring junior engineers.

Senior Software Engineer

Accubits Technologies Inc

Sep 2023 – Apr 2025 · 1 yr 8 mos

Full-time

  • Built production RAG systems with Qdrant, LangGraph, and OpenAI — reducing hallucination rate by 40%.
  • Designed and shipped scalable FastAPI microservices with async PostgreSQL and Redis caching layers.
  • Led integration of Apache Airflow DAG pipelines for ML data ingestion and orchestration.

Software Developer

CEDCOSS Technologies Private Limited

Feb 2022 – Sep 2023 · 1 yr 8 mos

Full-time

  • Developed RESTful APIs and backend services in Python powering e-commerce integrations.
  • Containerised services with Docker and deployed on AWS, improving deployment consistency.
  • Built internal tooling with React and Next.js for operational dashboards.

Sr. Executive

Augurs Technologies

Jan 2021 – Feb 2022 · 1 yr 2 mos

Full-time

  • Delivered Python-based automation scripts and backend utilities reducing manual ops overhead.
  • Collaborated on cloud migration planning and infrastructure setup on AWS.

Software Developer

Skyracle Technologies

Jun 2020 – Jan 2021 · 8 mos

Full-time

  • Built backend services and REST APIs in Python for client-facing SaaS products.
  • Contributed to front-end features using React.

Python Developer

DiziVita Solutions

Jun 2018 – May 2020 · 2 yrs

Full-time

  • Developed core Python application features and automated data processing workflows.
  • Wrote unit and integration tests, maintaining 80%+ code coverage.
Certifications

Validated, not just claimed.

Industry certifications in data engineering, AI systems, and cloud infrastructure.

Databricks Certified Data Engineer Associate

Databricks

Aug 2025 · Expires Aug 2027

ID: 158297501

Introduction to Model Context Protocol

Anthropic

Jun 2026

ID: dp2ibnsrsuu2

Astronomer Certification DAG Authoring for Apache Airflow 3

Astronomer

Mar 2026

Microsoft Build AI Apps with Azure

Microsoft

Jan 2025

Contact

Let's build something amazing together.

Open to Senior Software Engineer, Lead Backend Engineer and Cloud/AI Backend opportunities.