P

Priyadharshan Sababathi

Software Engineer

Bengaluru, Karnataka, India6 yrs 6 mos experience
Highly Stable

Key Highlights

  • Reduced cloud spending from $1,100/day to $330/day.
  • Improved API latency by 25 times for financial operations.
  • Architected microservices for enhanced system resilience.
Stackforce AI infers this person is a Backend Engineer with expertise in Fintech and SaaS.

Contact

Skills

Core Skills

PythonFailure AnalysisKubernetesMysql

Other Skills

TelemetryRedisPython (Programming Language)Elastic Stack (ELK)DjangoApache SparkOptical Character Recognition (OCR)Google Cloud Platform (GCP)FastAPIMicrosoft AzurewebsocketsRabbitMQDatadogPerformance ManagementMessage Broker

About

Backend engineer with 5+ years of experience building scalable, reliable systems with end-to-end ownership. Focused on performance-first engineering, observability, CI/CD, and distributed systems. Using first-principles thinking to write clean, maintainable code and optimizing production performance.

Experience

6 yrs 6 mos
Total Experience
2 yrs
Average Tenure
6 mos
Current Experience

Superpe marketplace private limited

Software Engineer 2

Dec 2025Present · 6 mos · Bangalore Urban · On-site

Career break

Travel

Jul 2025Nov 2025 · 4 mos · India

  • Travel, Photography and Freelancing developer
  • Took a planned break to freelance and explore different software engineering disciplines and strengthen my technical foundations.
  • Travelled across India, photographing cultural festivals while undertaking freelance software projects.
  • Supporting small businesses. Built highly optimized websites written with bare web technologies, handled photoshoots and content workflows, helped improve technical SEO, automation scripts for HR workflows and data analysis using AI.

Superpe marketplace private limited

Software Engineer 2

Mar 2024Jun 2025 · 1 yr 3 mos · Bangalore Urban · On-site

  • finance technology
  • Performed RCA, failure analysis, and fraud detection; led a team of 3 engineers and established fast incident-response workflow discipline.
  • Cut cloud spend from $1,100/day → $330/day (~$23K/month savings) by optimizing service logic and data access patterns.
  • Improved API latency 25×, reducing critical endpoints from 20s → <800ms to stabilize high-volume financial operations.
  • Lowered MTTD by >40% by deploying self-hosted telemetry (Logstash + pod-level agents) for real-time fault detection.
  • Increased system resilience by architecting and migrating a monolith into 4 microservices supporting core transaction and fraud-analysis flows.
PythonFailure Analysis

Hiver

2 roles

Software Engineer 2

Promoted

Jan 2022Feb 2024 · 2 yrs 1 mo

  • AI SaaS (Software as a Service)
  • Owned telemetry, cutting detection time and reducing on-call load.
  • Architected microservices for better resilience and fault isolation.
  • Managed Kubernetes on AWS, ensuring reliable deployments and scaling.
  • Improved system stability by resolving latency and traffic-spike issues.
KubernetesRedis

Software Engineer 1

Aug 2019Dec 2021 · 2 yrs 4 mos

  • AI SaaS (Software as a Service)
  • Increased Gmail sync throughput by improving large-scale message ingestion pipelines and strengthening processing stability.
  • Built real-time system visibility, reducing failure detection and response gaps through custom monitoring pipelines, alerts, and health metrics.
  • Enhanced distributed system reliability using Redis, Kafka, RabbitMQ, and MySQL (AWS) to power fault-tolerant queues, caching layers, and asynchronous task pipelines.
Python (Programming Language)MySQL

Bureau of data

2 roles

Software Engineer Intern

Sep 2018Nov 2018 · 2 mos · Bengaluru, Karnataka, India

  • Working on the platform and algorithms workflow pipelines.
  • Developing the inventory search using Elasticsearch and Redis housed on Amazon Web Services, run via Lambda.
Elastic Stack (ELK)Redis

Data Science Intern

Jul 2018Sep 2018 · 2 mos · Bengaluru, Karnataka, India

  • Worked on developing machine learning algorithms and building models using Python and Spark to get analytics of huge data from clients.
  • Built a platform, over Django Framework for the company to connect to their clients. This platform deployed the machine learning algorithms and analysed the data.
  • Working on the workflow and deploy on Amazon S3 servers.
DjangoApache Spark

Education

Visvesvaraya Technological University

Bachelor's degree — Computer Science

Jan 2015Jan 2019

MES KKPS, ICSE

Science

Jan 2003Jan 2013

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