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Ayush Anand Srivastava

Backend & GenAI Systems Engineer | Technical Lead

Engineering reliable backends.Building useful AI systems.

I design and build scalable backend platforms, event-driven systems, cloud-native applications, and AI-powered workflows—with a focus on performance, reliability, and practical engineering.

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Focus · Backend Architecture, Distributed Systems, Cloud-Native Engineering, GenAI Integration

System architecture01 / 05

API Gateway. Versioned API contracts and request entry.

  • 01API & service architecture
  • 02Event-driven processing
  • 03Retrieval-augmented generation

Selected outcomes from shipped systems

~500K

trades processed per batch run

Trade-surveillance backend, Wipro / Bank of America

750ms → 180ms

interview scheduling API latency

Query indexing and Redis caching, Accubits

50+

model development teams with library-usage visibility

gRPC and Kafka ingestion pipeline, Wipro / Bank of America

Team of 6

engineers led on a CI/CD initiative

Bitbucket, Jenkins, and Ansible Tower, Wipro / Bank of America

Backend Systems. Distributed Architecture. Cloud Native. GenAI Engineering. Production Reliability

Interactive labs

Engineering Playground

Seven small experiments in backend systems, AI, interaction, and engineering thinking.

Byte

Little local companion

Use arrows, WASD, touch controls, or drag Byte to move.

Byte is parked beside the stack. Local demos only.

idle

Hold a direction for continuous movement.

Energy78
Happiness68
Curiosity56

About

Systems that hold up in production

I’m Ayush Anand Srivastava, and I work on the full lifecycle of backend software: service boundaries, API contracts, event-driven processing, data models, and the cloud paths that take a change from a pull request to a running workload.

That includes the unglamorous parts that keep systems honest—query plans, retries, idempotency, CI/CD, logs, metrics, traces, and the incident path from alert to root cause. Architecture only counts if operators can see it fail and recover it.

GenAI fits the same standard. Retrieval, grounding, evaluation, and guardrails are backend problems before they are model problems.

From high-throughput APIs and distributed pipelines to retrieval-augmented generation and intelligent developer tools, I turn complex engineering problems into systems people can depend on.

Skills

A working taxonomy, not a keyword cloud

Core items are tools used in shipped systems. The wider list is technical familiarity—not a claim that every item appeared in every role.

Backend engineering

Python, Go, FastAPI, Django, REST APIs, microservices

PHP, Node.js, Flask, GraphQL, gRPC, asynchronous programming, API versioning

Frontend engineering

TypeScript, JavaScript, React, Next.js

Svelte, HTML, CSS, Tailwind CSS, responsive interfaces

GenAI and intelligent applications

LLM integration, RAG, embeddings, semantic search

prompt engineering, vector databases, tool calling, AI workflow orchestration, evaluation, grounding, guardrails

Databases and caching

PostgreSQL, MySQL, Redis, query optimization

MongoDB, Oracle, SQLAlchemy, indexing, data modeling

Distributed systems and messaging

Apache Kafka, event-driven architectures, asynchronous processing

AWS SQS, Celery, retries, idempotency, dead-letter queues, gRPC communication

Cloud and DevOps

AWS, Docker, Kubernetes, CI/CD

Microsoft Azure, AWS Lambda, EC2, Azure App Service, Azure Key Vault, Jenkins, GitLab CI, Bitbucket Pipelines, Azure DevOps, Ansible Tower

Data engineering and orchestration

Apache Airflow, data pipelines, batch processing

Databricks, Pandas, NumPy, scheduled workflows, incremental processing

Observability and reliability

Prometheus, Grafana, logs, metrics, alerting

Splunk, traces, performance profiling, incident investigation, root-cause analysis

Architecture and engineering practices

system design, performance optimization, production troubleshooting

microservices, monolith modernization, API security, testing, code reviews, release engineering

Experience

Roles and outcomes

Employment history is separate from the independent project showcases below. Metrics are from the work described in each role.

  1. April 2025 – Present

    Technical LeadCurrent

    Wipro · Client: Bank of America

    Trade surveillance, library-usage telemetry, and release automation for a large financial-services platform.

    • — Developed a trade-surveillance backend using FastAPI with versioned REST APIs (v1/v2) and PostgreSQL, processing approximately 500K trades per batch run to detect market-abuse patterns such as spoofing, layering, and marking the close.
    • — Contributed to migrating a legacy Django monolith to containerized microservices on Kubernetes, replacing a single deployment pipeline with independently deployable backend services and faster release cycles.
    • — Built an asynchronous ingestion pipeline using gRPC and Kafka for library-usage events, persisting data in Oracle and giving 50+ model development teams near-real-time visibility into adoption and deprecated-code usage.
    • — Led a team of 6 engineers in designing a CI/CD pipeline using Bitbucket, Jenkins, and Ansible Tower to automate build, test, and deployment, reducing the release cycle from two weeks to on-demand deployments.
    • — Optimized Autosys trade-data batch pipelines with incremental processing of new and updated records and used Splunk root-cause analysis to accelerate production incident resolution and reduce recurring issues.
    • FastAPI
    • PostgreSQL
    • Kafka
    • gRPC
    • Kubernetes
    • Jenkins
    • Splunk

  2. September 2023 – April 2025

    Senior Software Engineer

    Accubits Technologies Inc.

    Interview-platform microservices, latency work, and Azure delivery for an employee-engagement product.

    • — Re-architected the interview module of an employee-engagement platform into containerized microservices using Docker and Kubernetes, reducing server costs by 25% with zero-downtime migration.
    • — Owned the design and delivery of an interview-scheduling microservice using FastAPI, SQLAlchemy, and PostgreSQL, reducing API latency from 750 ms to 180 ms through query indexing and Redis caching.
    • — Implemented metrics-based monitoring and alerting with Prometheus and Grafana across interview-workflow microservices, reducing mean time to detect production issues by 60%.
    • — Transformed large candidate datasets into client-friendly Excel reports using NumPy and Pandas and built an event-driven Celery system for asynchronous file generation, cutting processing latency by 40%.
    • — Implemented CI/CD pipelines in Azure DevOps to deploy Dockerized applications across multiple environments on Azure App Service, managing application secrets with Azure Key Vault.
    • FastAPI
    • PostgreSQL
    • Redis
    • Kubernetes
    • Prometheus
    • Azure

  3. February 2022 – September 2023

    Software Developer

    CEDCOSS Technologies Private Limited

    Multi-tenant Shopify–Google commerce APIs, webhook processing, and deployment automation.

    • — Developed and maintained REST APIs for a Shopify–Google integration platform using Django REST Framework, supporting 5,000+ daily active users across multi-tenant merchant accounts.
    • — Built event-driven AWS Lambda functions triggered by Shopify webhooks to synchronize product updates to Google Shopping near real time, reducing synchronization failures by 40%.
    • — Redesigned the MongoDB data model by consolidating per-user and product collections into unified collections, improving query performance and simplifying schema management through targeted indexing and MongoDB Profiler analysis.
    • — Implemented GitLab CI/CD pipelines to automate deployments, replacing manual FileZilla-based uploads and reducing deployment time by over 50%.
    • — Used Boto3 with AWS SQS to handle large-scale product-upload batching and automate Shopify-to-Google synchronization, with scheduled cron jobs preventing product-listing expiration on Google.
    • Django REST
    • MongoDB
    • AWS Lambda
    • SQS
    • GitLab CI

  4. January 2021 – February 2022

    Sr. Executive

    Augurs Technologies

    Full-stack HR systems and automotive-service APIs.

    • React
    • Django
    • Flask
    • MySQL

  5. June 2020 – January 2021

    Software Developer

    Skyracle Technologies

    E-commerce catalog and order services on AWS.

    • Django
    • MySQL
    • AWS EC2

  6. June 2018 – May 2020

    Python Developer

    DiziVita Solutions

    Commerce platforms, operational dashboards, and payment integrations.

    • Django
    • Flask
    • MySQL
    • Stripe
    • PayPal

Work

Independent systems showcases

These labs are portfolio simulations with working controls. They are not employer deliverables and are not connected to live customer infrastructure.

1Query

2Retrieve

3Rerank

4Ground

5Cite

GenAI retrieval

Cortex

RAG Knowledge Intelligence Lab

Inspect how a retrieval pipeline selects evidence, grounds an answer, and fails closed when sources are thin.

Python · FastAPI · embeddings · vector retrieval

Open interactive demo

Event systems

FlowForge

Event-Driven Systems Observatory

A control room for producers, brokers, consumers, retries, and the dead-letter path.

Python · Go · Kafka · asynchronous workers

Open interactive demo

Reliability

CloudPulse

Reliability and Cost Intelligence

Read service health, latency shape, and illustrative cost pressure from one seeded operations view.

AWS · Azure · Docker · Kubernetes

Open interactive demo

GET /v1/customers 200

POST /v1/orders 409

GET /v1/admin 403

API engineering

API Sentinel

API Traffic and Policy Simulator

Execute sample requests against a local gateway and watch auth, validation, idempotency, rate limits, and circuit-breaking decide the outcome.

TypeScript · Node.js · Python · REST APIs

Open interactive demo

Data engineering

DataForge

Data Pipeline and Quality Control

Inspect a sample ingestion DAG, quality gates, schema drift, and controlled reruns without a live warehouse.

Python · Apache Airflow · SQL · PostgreSQL

Open interactive demo

32%71%48%

Platform / SaaS

TenantOS

Multi-Tenant SaaS Control Plane

Switch sample tenants, inspect quotas and entitlements, and watch job admission follow the selected plan.

Node.js · Python · PostgreSQL · Redis

Open interactive demo

txn-1043 review

txn-1047 hold

txn-1042 allow

Decisioning

LedgerGuard

Transaction Risk Decision Engine

Score fictional payments with deterministic rules, adjust review thresholds, and leave an explainable audit trail.

Python · FastAPI · PostgreSQL · Redis

Open interactive demo

search_v2 · 25%

checkout_tax · 5%

Release engineering

Shipyard

Progressive Delivery and Feature Flags

Evaluate flags for sample cohorts, move a rollout through stages, and kill-switch a simulated bad release.

TypeScript · Node.js · CI/CD · feature flags

Open interactive demo

prep → route → policy

fixture → validate → complete

eval 5 / 6 pass

GenAI operations

PromptOps

LLM Gateway and Evaluation Studio

Route sample tasks through model profiles, compare prompt versions, and score fixtures without calling a model API.

Python · FastAPI · LLM gateway patterns · structured outputs

Open interactive demo

Certifications

Credentials

Education

  • MBA (IT)

    Integral University, Lucknow · 2019–2021

  • B.Tech

    Shri Ramswaroop Memorial University · 2014–2018

Award

  • Employee of the Month

    DiziVita Solutions · 2019

Contact

Have a complex system to build?

Let's talk about backend architecture, distributed systems, cloud engineering, or practical AI integration.

Email me