Saiteja Reddy

Software Engineer

India3 yrs 10 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Reduced infrastructure downtime by over 75%.
  • Achieved 90% faster incident detection.
  • Led innovative Agentic AI initiatives.
Stackforce AI infers this person is a Backend-focused Software Engineer specializing in SaaS and AI-driven automation.

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Skills

Core Skills

Backend DevelopmentApi DevelopmentInfrastructure AutomationArtificial IntelligenceWeb Development

Other Skills

PythonFlaskFastAPIPostgreSQLRESTful APIsGrafanaGitHubVaultREST APIsProactive MonitoringGPT-4.1LangChainLangGraphDjangoOperating Efficiencies

About

As a Software Engineer specializing in backend systems and infrastructure automation, I build reliable, scalable platforms that turn complex operations into seamless, self‑service workflows. Over the last few years at Societe Generale, I’ve designed full‑stack automation and monitoring solutions that cut virtual infrastructure downtime by 75%+ and accelerated incident detection by 90%, while enabling secure cross‑team integration via RESTful APIs. My focus: resilient design, measurable outcomes, and developer‑friendly experiences. What I do best: Architect automation for vSphere ecosystems (vCenter, ESXi, VMs, Datastores) using Python, Flask/FastAPI, and PostgreSQL—delivering 40% less downtime and 65% faster recovery across critical services. Build production‑grade APIs with authentication, versioning, and OpenAPI/Swagger, enabling seamless integration across departments and tooling. Lead Agentic AI initiatives with GPT‑4.1, LangChain, and LangGraph to orchestrate multi‑agent backends (MCP, A2A) that autonomously execute complex operational tasks. Ship observability and proactive monitoring with Grafana and event‑driven alerting to reduce MTTR and prevent incidents before they impact customers. Selected impact: Pioneered Python‑based automation and REST services that became the backbone for cross‑team infrastructure workflows; internal satisfaction score: 9.5/10. Deployed a centralized vHome Infra Portal (Django + PostgreSQL) for real‑time visibility into compute resources, now the operational hub for audits, troubleshooting, and daily activities. Drove disaster recovery automation for VMs, cutting on‑call overhead and earning multiple performance and spot awards. Core tech: Languages & CS: Python (Advanced), OOP, SOLID, Design Patterns, DSA, Concurrency (multithreading, asyncio) Frameworks: Flask, FastAPI, Django, LangChain, LangGraph APIs & Data: RESTful design, AuthN/AuthZ, Versioning, OpenAPI/Swagger; PostgreSQL, MongoDB, query optimization DevOps & Infra: Docker, GitHub Actions, Terraform, Ansible, Vault, Grafana; VMware vCenter/ESXi/vSphere (PyVmomi) Cloud & AI: Private Cloud (OCS), Azure OpenAI (GPT‑4.1), MCP, A2A protocols What sets me apart is the blend of pragmatic backend engineering with outcome‑driven automation and emerging Agentic AI patterns—delivering systems that are robust today and extensible for tomorrow’s scale. If advancing platform reliability, developer velocity, and operational excellence is a priority, let’s connect.

Experience

3 yrs 10 mos
Total Experience
3 yrs 6 mos
Average Tenure
4 mos
Current Experience

Airbus

Software Engineer

Jan 2026Present · 4 mos · Bengaluru, Karnataka, India · Hybrid

PythonFlaskFastAPIPostgreSQLRESTful APIsGrafana+4

Societe generale global solution centre

Software Engineer

Jun 2022Dec 2025 · 3 yrs 6 mos · Bangalore Urban, Karnataka, India · Hybrid

  • Pioneered full-stack automation tools using Python and REST APIs, slashing virtual infrastructure downtime by 40% and improving system recovery times by 65% for the organization. Forged resilient Flask and Fast API-based applications utilizing modular designs for monitoring vCenters, ESXi snapshots, and datastores; system received an internal 9.5/10 satisfaction score. Developed scalable, secure RESTful APIs consumed across multiple departments, enabling seamless integration and automation of critical infrastructure workflows. Achieved 90% faster incident detection and 75% downtime reduction through proactive monitoring and intelligent alerting systems. Currently leading an Agentic AI integration initiative using GPT-4.1, Lang Chain, and LangGraph to design and implement a multi-agent architecture for automating complex production tasks.
PythonFlaskFastAPIREST APIsDjangoPostgreSQL+4

Education

Amrita Vishwa Vidyapeetham

B.Tech

Mar 2018Mar 2022

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