Prachetha Vasishta

Software Engineer

Bangalore Urban, Karnataka, India3 yrs 9 mos experience

Most Likely To Switch

Key Highlights

Developed ML-driven predictive analytics systems at Cisco.
Runner-up at Synopsys Inno Champ 2022.
Expert in backend and full-stack development.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in SaaS and cloud-native systems.

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Skills

Core Skills

PythonSpring BootMern Stack

Other Skills

Python (Programming Language)ElasticsearchRedisNode.jsExpress.jsMicrosoft PowerPointOrganizational LeadershipContinuous Integration and Continuous Delivery (CI/CD)JavaDockerREST APIsZabbixMongoDBJavaScriptGrafana

About

Software Engineer with a strong foundation in backend and full-stack development, currently working at Cisco on building scalable microservices and cloud-native systems. I have hands-on experience designing and deploying production-grade solutions using Python, Spring Boot, MERN stack and Devops tools. I enjoy solving complex engineering challenges, improving system reliability, and streamlining operations through clean, efficient code. Alongside my software engineering work, I’ve contributed to ML-driven automation, predictive analytics projects blending AI with practical applications. Runner-up at Synopsys Inno Champ 2022, I bring a mindset of innovation and continuous learning to everything I build. Always open to connecting, learning, and collaborating on impactful tech.

Experience

3 yrs 9 mos

Total Experience

1 yr 10 mos

Average Tenure

2 yrs 9 mos

Current Experience

Cisco

3 roles

Software Engineer II

Promoted

Nov 2024 – Present · 1 yr 7 mos · On-site

Developed ML-driven Change Predictive Analytics systems to assess infrastructure change risk across Cisco infrastructure, improving deployment safety and decision reliability.
Designed a two-layer interpretability framework translating model outputs into domain-relevant insights and surfacing similar historical incidents, improving engineer adoption and reducing approval time.
Engineered backend services using Spring Boot, Python, Elasticsearch, and Redis to compute availability metrics and service dependencies, improving infrastructure visibility and reliability analysis.
Built a prototype observability framework for agentic AI systems, instrumenting telemetry to detect non-deterministic failure modes in multi-step reasoning workflows.
2nd place – Cisco Innovation League - AI in Action 2026 Hackathon for Agentic observability innovation using LanGraph

Python (Programming Language)Spring BootElasticsearchRedisPython

Software Engineer

Aug 2023 – Oct 2024 · 1 yr 2 mos · On-site

Played a key role in developing the Monitoring Orchestration Experience project using the MERN stack and Python, integrating Cisco’s ThousandEyes, AppDynamics, Zabbix, and other observability tools into a unified platform. Delivered large-scale monitoring with a personalized user experience, significantly enhancing engineering efficiency and supporting Cisco’s Full Stack Observability objectives.
Also set up Global Server Load Balancers (GSLBs) for core services, improving system resiliency and ensuring higher uptime.

Node.jsExpress.jsPython (Programming Language)MERN StackPython

Software Engineer Intern

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India · On-site

Python (Programming Language)Python

Bosch global software technologies

Project Trainee ( Summer Intern)

Jun 2022 – Jul 2022 · 1 mo · Bengaluru, Karnataka, India

Automated the process of Engine Diagnostics by developing a Python-based solution that streamlined the generation of comprehensive ECU test reports. Reduced manual effort and improved testing efficiency by integrating the tool with existing workflows, contributing to faster and more reliable vehicle diagnostics.

Python (Programming Language)Microsoft PowerPointPython