Ayush Anand Srivastava
Professional Summary
Software Engineer focused on backend systems, distributed services, and reliable cloud applications. Experienced in designing and building API-driven platforms, event-driven pipelines, data-intensive services, and production systems, with hands-on work across Python, Go, Java, and modern infrastructure. Also experienced in applying LLMs and retrieval-augmented generation to practical engineering workflows.
Professional Experience
Technical Lead — Wipro (Client: Bank of America)
April 2025 – Present
- Designed and built a Spring Boot service, using Spring Data and PostgreSQL, that screens ~500K trades per batch run for market-abuse patterns (spoofing, layering, marking the close), exposing versioned v1/v2 REST APIs.
- 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 with gRPC and Kafka for library-usage events, persisted in Oracle, giving more than 50 model development teams near-real-time visibility into technology adoption and deprecated-code usage.
- Led a team of six engineers in designing a CI/CD pipeline with Bitbucket, Jenkins, and Ansible Tower that automates build, testing, and deployment, reducing release cycles from two weeks to on-demand deployments.
- Optimized Autosys trade-data batch pipelines through incremental processing of new and updated records, and used Splunk root-cause analysis to accelerate production incident resolution and reduce recurring issues.
Senior Software Engineer — Accubits Technologies Inc.
September 2023 – April 2025
- Re-architected the interview module of an employee-engagement platform into containerized microservices on Docker and Kubernetes through a zero-downtime migration, reducing server costs.
- Owned the design and delivery of an interview-scheduling microservice in Python using FastAPI, SQLAlchemy, and PostgreSQL, cutting 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, improving mean time to detect production issues.
- Built an event-driven backend using Celery for asynchronous file generation (cutting processing latency by 40%) and Redis Pub/Sub for real-time processing of counselor-initiated interviews.
- Owned the Golang (Gin) and MongoDB backend of a CRM and order-management platform for 60+ builders (~8,000 orders/month); designed schema and indexes that kept key APIs under 150 ms at p95.
Software Developer — CEDCOSS Technologies Private Limited
February 2022 – September 2023
- Developed and maintained REST APIs for a Shopify–Google integration platform using Django REST Framework, supporting more than 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 in 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 more than 50%.
- Used Boto3 with AWS SQS to handle large-scale product-upload batching and automated Shopify-to-Google synchronization, with scheduled cron jobs preventing product-listing expiration on Google.
Sr. Executive — Augurs Technologies
January 2021 – February 2022
- Built a full-stack HRMS and payroll system (React, Django, MySQL) and Flask REST APIs for a roadside-assistance app.
- Automated application builds and deployments using Jenkins, Docker, and AWS EC2.
Software Developer — Skyracle Technologies
June 2020 – January 2021
- Built a Django and MySQL e-commerce platform, deployed on AWS EC2 with auto-scaling.
Python Developer — DiziVita Solutions
June 2018 – May 2020
- Built Django/Flask e-commerce platforms with real-time sales dashboards and Stripe/PayPal integration.
TECHNICAL SKILLS
- LanguagesPython · Go · Java · Rust · JavaScript · TypeScript
- FrameworksFastAPI · Django · Spring Boot · Gin · Next.js · React
- Databases & MessagingPostgreSQL · MySQL · MongoDB · Redis · Apache Kafka · RabbitMQ
- Cloud & DevOpsAWS (EC2, S3, Lambda, RDS, SQS, CloudWatch) · Microsoft Azure · Docker · Kubernetes · Terraform · GitHub Actions · Prometheus · Grafana
- GenAI & LLMsAzure OpenAI · LangChain · LangGraph · Pinecone · RAG
Certifications
Education
- M.Tech. in Computer Science Engineering — Shri Ramswaroop Memorial University · 2022–2024
- B.Tech — Shri Ramswaroop Memorial University · 2014–2018
Award
- Employee of the Month — DiziVita Solutions · 2019