Description

I'm a backend engineer with 8 years in Python, mostly building multi-tenant SaaS and AI products. At Centific I designed an authentication platform that serves over 5 million users at 500+ TPS. These days I lead a pod at Turing, where I built simulated APIs that Google uses to train and evaluate LLM agents on tool calling, and I'm a core engineer on the event-driven ingestion platform behind a major US podcast network's catalog.

Outside client work I founded and still run southscape.tours, a tour booking SaaS for South India. I built everything myself, from payment gateway integrations to encrypted traveller data handling, and I operate it solo on Azure. That experience shapes how I work: I think about the product, not just the ticket, and I stay accountable for what I ship long after it goes live.

My core stack is Django, FastAPI, Celery, Kafka, PostgreSQL, Redis, Kubernetes, and Terraform on AWS and Azure.

Industry field of expertise

Languages

English
Native or bilingual
Telugu
Native or bilingual
Hindi
Fluent
Kannada
Fluent

Workplace preferences

Remote only

Primarily works remotely

Turing
Pod Lead (Senior Backend Engineer)
TECH
September 2025 - Today (10 months)
Bengaluru, India
• • Core engineer on the distributed, event-driven ingestion platform powering the client's entire podcast catalog — a 21-package Python monorepo of pipeline workers, FastAPI services, and AWS Lambdas that detects RSS feed changes, ingests shows and episodes, and publishes updates downstream via Kafka.
• • Led the ground-up migration of the catalog scan scheduler from a legacy Java Quartz system to a Python Celery/RedBeat architec ture: 5 coordinated services on AWS EKS with frequency-tiered scheduling (5-minute to weekly), priority-based RabbitMQ routing, distributed deduplication locking, and publish timeout/retry safeguards.
• • Owned load testing and bottleneck analysis on a dedicated environment, tuning worker concurrency and queue roles to validate the new scheduler at production-scale catalog volumes and de-risk the cutover.
• • Extended the pipeline end-to-end for video podcasts: RSS parsing, SQLAlchemy models with Alembic migrations, RabbitMQ mes sage schemas, and downstream Kafka contracts.
• • Built Terraform-managed AWS Secrets Manager integration with GitHub Actions OIDC roles across dev and prod accounts, elimi nating long-lived credentials from CI/CD pipelines.
• • Instrumented full observability for the scheduling system: Prometheus metrics, Grafana dashboards, New Relic APM, and struc tured logging shipped to Elasticsearch for cross-service failure tracing.
Client: Google — Agents API Simulation Platform Python, FastAPI, Pydantic, Redis, Pytest, AI Agents
• • Led development of simulated real-world service APIs used to train and evaluate LLM agents on production-style tool calling — strict tool specifications, stateful endpoint behavior, and schema-first Pydantic validation for deterministic, reliable execution.
• • Partnered directly with Google stakeholders on requirements, led peer reviews, and strengthened Pytest regression coverage across the platform (team of 6).
Python API Redis PostgreSQL LLM
Centific
Software Engineer — Senior
DIGITAL AND IT
August 2023 - August 2025 (2 years)
Bengaluru, Karnataka, India
Service (SaaS Product) Python, Django REST Framework, PostgreSQL, Redis, Celery, OAuth2.0, AKS
• • Designed and delivered a multi-tenant authentication and authorization platform: OAuth2.0 and JWT flows, RBAC, password policies, and service-to-service authentication sustaining 500+ TPS for 5M+ users, with onboarding APIs and admin workflows adopted by multiple internal and external client integrations. Product) Azure Blob, AWS S3, GCP Storage,
• • Sole engineer on a multi-tenant file management platform exposing a unified REST API across three clouds, with chunked and re sumable transfers, background processing, encryption, lifecycle policies, and tenant isolation for cross-cloud compliance. (Centific Product) Python, FastAPI, Redis, Microservices
• • Lead engineer (team of 12) on an enterprise platform for validated large-scale datasets: designed identity management, integra tions with annotation platforms (OneForma, Roboflow), microservice deployment patterns, and a Redis-queued cross-cloud data transfer service for reliable asynchronous workflows. (AI SaaS Product) Azure Event Azure Functions
• • Built event-driven backend services for a multi-tenant AI retail-analytics platform converting store cameras into real-time insights and alerts, collaborating with cloud and AI teams.
Python Microsoft Azure API Redis Django
The Scalers
Technical Coordinator — Senior
DIGITAL AND IT
April 2022 - August 2023 (1 year and 4 months)
Bengaluru, Karnataka, India
Automation)
• • Built an end-to-end AI feedback analysis workflow deployed as a scheduled AWS Lambda with Google Sheets and Slack integra tions — automated manual review work and cut feedback turnaround time. (Web-Based Game)
• • Developed a real-time two-player coding Redis-backed game and sandboxed multi language code execution via Sphere Engine.
Python artificial intelligence API Amazon Web Services Redis