Software Development Engineer II at Cisco | Backend Engineer | Java, Go, Python | Distributed Systems, Microservices, REST APIs | BITS Pilani

On-site

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Singapore


Gandhinagar, Gujarat, India







Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering
Birla Institute of Technology and Science, Pilani

Jawahar Vidya Mandir, Shyamali
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Resume : https://drive.google.com/file/d/1d6pK2_j_jx2R0WEtNB_q8HWZdMyJdBfN/view?usp=sharing Portfolio : https://sarveshwarmahapatro.netlify.app/ Software Engineer II at Cisco, working on backend and full-stack systems used in networking and enterprise software environments. I build and maintain services across Java, Go, Python, and web technologies, with ownership across API design, implementation, debugging, and production reliability. My work has involved domain-heavy systems where correctness, maintainability, and operational clarity matter. Previously, I worked with Resulticks and BISAG-N, and graduated from BITS Pilani. Core areas: backend engineering, Java, Go, Python, APIs, distributed systems, full-stack development, networking systems, debugging, and production support. 📧 Let's connect: sarveshwarmahapatro@gmail.com
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Software Engineer II at Cisco, Oct 2024 - Present · 1 yr 11 mos, On-site, • Designed and implemented the Controller upgrade workflow in Java, including Quartz-based scheduling infrastructure, version management APIs, bulk upgrade lifecycle management and integration with Go-based upgrade coordinator serving all vManage customers and reducing operational risks during large-scale deployments. • Developed RESTful APIs in Java for SD-AVC feature integration for Cisco Catalyst SD-WAN, enabling dynamic management of application protocol packs, dependency resolution algorithms to identify policy compliance between legacy and new application, migration from on-prem to cloud based SD-AVC ensuring zero-conflict transitions across multi-tenant, distributed SD-WAN environments.
Software Engineer at Cisco, Aug 2023 - Present · 3 yrs 1 mo, Bengaluru, Karnataka, India, Developed customer-facing Angular interfaces for the vManage platform and React-based YANG Diff Comparator tool with Python backend using pyang plugin, enabling network engineers to efficiently compare and validate device CLI configurations. • Developed AI-powered bug analysis system reducing mean time to resolution (MTTR) for critical issues by 25%.
Software Engineer Intern at Cisco, Aug 2022 - Dec 2022 · 5 mos, Bengaluru, Karnataka, India, Developed automation scripts using the pyATS framework to execute bulk operations (firmware upgrades, template management) across 3,000+ network devices on the Cisco SD-WAN vManage platform. • Independently developed and delivered the P0 test suite for the vManage Device Data Collector, enabling efficient data collection from edge devices for the use of vManage GUI and vAnalytics.
Data Science Intern at Resulticks, Jun 2022 - Aug 2022 · 3 mos, Singapore, Executed complex SQL and Neo4j queries for real-time analytics, engineered ETL pipelines to integrate Excel data into Neo4j graph database. Automated mobile data extraction from Tata Neu App using Appium framework and performed comprehensive EDA including statistical analysis, data cleaning, and feature engineering to prepare high-quality datasets for ML model training.
Software Engineer Intern at 100X Space Pvt Ltd, May 2022 - Jun 2022 · 2 mos, Worked on building an AI platform which helps in building strategy for options trading using python. Used different search engine and data visualization dashboard such as Elasticsearch and Kibana in order to handle large volume of real-time data where new data was extracted in every 3 minutes from 9 AM to 5 PM.
Software Engineer Intern at Bhaskaracharya Institute For Space Applications and Geo-Informatics, May 2021 - Jul 2021 · 3 mos, Gandhinagar, Gujarat, India, Engineered end-to-end prediction system: performed time series decomposition on historical data to extract seasonality, periodicity, and trends, implemented LSTM/RNN neural networks with sequence-to-sequence architecture in Keras (TensorFlow), applied feature scaling and sliding window techniques, achieved 97.71% accuracy using RMSE metric, and deployed interactive Streamlit web application with real-time forecasting capabilities.
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Birla Institute of Technology and Science, Pilani
Jawahar Vidya Mandir, Shyamali
github: https://github.com/sarveshwar22
leetcode: https://leetcode.com/mahapatro
sarveshwarmahapatro.netlify.app: https://sarveshwarmahapatro.netlify.app/