Headline

Backend Software Engineer | Building Scalable Distributed Systems & AI Automation Workflows | Java, Spring Boot, Python, Node.js, Kafka, GCP

About

Backend Software Engineer at Osmos.ai (formerly Onlinesales.ai) building scalable backend systems, distributed workflows, and AI-powered automation platforms for ad-tech and campaign management systems. My work focuses on designing reliable backend infrastructure for campaign orchestration, workflow automation, analytics pipelines, and platform integrations operating at production scale. I have hands-on experience building distributed systems using Java, Spring Boot, Python, Kafka, Redis, BigQuery, MySQL, PostgreSQL, Temporal, and cloud technologies across AWS and GCP environments. Over time, I’ve worked on: • Event-driven backend architectures • Durable workflow orchestration systems • High-scale ad platform integrations • Real-time analytics and data pipelines • AI-powered debugging and operational tooling • Scalable API and automation infrastructure I’m especially interested in distributed systems, backend architecture, platform engineering, scalable SaaS systems, and AI-powered developer tooling. Outside work, I actively build engineering side projects, write technical articles, and explore scalable system design patterns and automation workflows. Open to backend engineering, platform engineering, and scalable systems opportunities.

Location

Pune Division

AI stack

antigravity

claude code

claude

codex

cursor

deepseek

gemini

langchain

langgraph

lovable

mcp

ollama

openai

perplexity

Work experience

Software Engineer at Osmos, Jun 2024 - Present · 2 yrs 2 mos, Pune Division, Maharashtra, India, • Built an end-to-end TikTok Ads pipeline to programmatically create and manage campaigns, ad groups, ads, audiences, and budgets, reducing manual setup effort by 80%. • Integrated Temporal workflows into campaign budget and execution pipelines, enabling durable and retryable orchestration for long-running workflows while improving job reliability by 95%+. • Designed event-driven backend architectures using Kafka, Temporal workflows, Redis caching, and asynchronous processing patterns, improving system scalability and reducing campaign execution latency by 60%. • Integrated Google Ads Performance Max (PMax) campaigns into the platform, expanding automation coverage across multiple advertising channels. • Built an AI-powered debugging platform using LangGraph and MCP to translate complex campaign data into actionable operational insights, reducing issue resolution time by 50%+. • Optimized high-scale ad platform integrations across Google Ads, Meta Ads, TikTok APIs, BigQuery pipelines, and cloud infrastructure environments, improving throughput and backend reliability for production workloads.

Software Engineer Intern at Osmos, Aug 2023 - May 2024 · 10 mos, • Migrated 6 production services handling 100K+ daily API calls to updated Google APIs with zero production failures. • Rapidly onboarded 4 enterprise clients within one month by configuring 30+ workflow automations aligned to client requirements. • Engineered a Kafka-driven backend workflow for Facebook page transitions, reducing recurring monthly client support queries from 10+ to zero. • Collaborated on an event-driven Android application using Kotlin and Firebase for scalable storage and real-time synchronization workflows. • Implemented JUnit-based testing for core Android components, achieving 80%+ test coverage and improving application reliability.

Education

Bachelor of Technology - BTech, Computer Engineering, MIT Academy of Engineering

High School Diploma, Maharashtra, KES'S PRATAP COLLEGE, AMALNER.

Public links

github: https://github.com/prasadborse02

medium: https://medium.com/@prasad-borse

leetcode: https://leetcode.com/prasadborse