Available for opportunities

Gaurang Suki

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Building scalable web applications at the intersection of beautiful UIs and robust backends.

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About Me

The person behind the code

I'm a Senior Software Engineer at Cisco Systems in the Bay Area — building systems that quietly take work off people's plates.

My work lives at the intersection of full-stack engineering and applied AI: designing the architecture, writing the APIs and data models, and shipping the UI on top — across IoT, SaaS, telecom, and healthcare. At Cisco I rebuilt an IoT platform from its foundations and built RAG-powered AI agents that cut support resolution time by 30%.

There's a thread through the work I'm proudest of: it replaces something slow and manual with something fast and automatic. 90% test coverage isn't a chore — it's how I sleep at night.

Fremont, CA
Applied AI & RAGSystems that ScaleClean Code90% Test Coverage
5+
Years Experience
10+
Technologies
4
Companies
2
Degrees
Real Impact

Impact by Numbers

Measurable outcomes from real production work — not just features shipped

0+
Customer IoT Networks
Cisco Meraki IoT deployed across after ground-up platform rebuild
0%
Support Time Cut
Resolution time reduced by RAG-powered AI agents across time zones
0%
Test Coverage
Maintained on IoT platform rebuild — because that's how I sleep at night
$1M+
Cost Savings
Labor costs saved via Cisco Spaces AP placement automation
10%
Staff Time Freed
Allocation time reduced via AWS SES reporting automation
5+
Years Experience
Shipping production systems across IoT, SaaS, telecom, and healthcare
Work History

Work Experience

Senior Software Engineer

Current
Cisco Systems
April 2022 – Present
San Jose, CA
  • Architected and led a complete rebuild of Cisco Meraki IoT Radio Settings over six months, replacing an architecture that locked every Access Point to a single technology with one that lets each AP run its own (Bluetooth, Zigbee, or ESL) — deployed across 1,000+ customer IoT networks at 90% test coverage
  • Designed a data migration service with zero downtime that automatically synced legacy IoT configurations into the new data model via a background job queue, moving the entire customer base with no service disruption
  • Built RAG-powered AI agents for two products using OpenAI embeddings and a vector database, surfaced through VSCode/GitHub IDE integrations and a Webex bot — cutting support resolution time by 30%
  • Built an interactive Cisco Spaces web application with React and Mapbox rendering custom indoor building maps that automatically compute optimal Access Point placement across large campuses, cutting deployment from days to minutes
  • Drove the Zigbee door lock feature to General Availability and integrated third-party ESL hardware, opening new hospitality and retail customer segments
ReactNode.jsRuby on RailsPostgreSQLOpenAIRAGMapboxTypeScript

Software Engineer (Contract)

Cisco / Webex
Oct 2021 – April 2022
San Jose, CA
  • Built and maintained an internal Python diagnostics tool (Twisted, Klein) that collected and surfaced Webex meeting-app logs, accelerating root-cause analysis during production failures
  • Developed an internal tool UI with React and Flask APIs, containerized via Docker, and authored Java, Selenium, and Appium automated tests for end-to-end Webex platform coverage
PythonReact.jsFlaskDockerSeleniumAppiumJava

Full Stack Developer

Sikka.ai
June 2021 – Oct 2021
San Jose, CA
  • Designed and built RESTful services using ASP.NET/C# MVC, documented with Swagger, to power Sikka's new product
  • Developed a React UI with interactive data visualizations (Victory charts) and partnered with QA on test plans to reduce functional and performance defects
ASP.NETC#ReactSwaggerVictory Charts

Software Engineer Intern

Key Impact
Lumentum LLC
May 2020 – May 2021
San Jose, CA
  • Migrated supplier metrics from Quickbase to Jira with Python, saving $25K/year in licensing, and automated reporting with Python and AWS SES that cut staff allocation time 10%; built a React and Python portal feeding live Tableau dashboards
ReactPythonJavaAWS SESTableauJiraGroovy
Tech Stack

Skills & Technologies

{}

Languages

PythonJavaScriptTypeScriptRubySQL

Frontend

React.jsNext.jsAngularReduxMapboxTailwind CSS
⚙️

Backend

Node.jsExpress.jsFlaskRuby on RailsASP.NET/C# MVCREST APIs
🤖

AI & Data

RAGAgentic AIOpenAIAnthropicLangChainEmbeddingsVector DatabasesSemantic Search
☁️

Cloud & DevOps

AWSOracle CloudDockerJenkinsGitCI/CD
🧪

Testing

SeleniumAppiumJMeterBDD
🗄️

Databases

PostgreSQLMongoDBMySQL
🔧

Tools

JiraTableauSwagger/OpenAPIVS CodeFigma
Academic Background

Education

🎓
Aug 2019 – May 2021

Master of Science in Computer Science

California State University, East Bay

Relevant Coursework

Advanced AlgorithmsDistributed SystemsMachine LearningSoftware EngineeringDatabase SystemsCloud Computing
View Degree Certificate
🏛️
July 2015 – June 2019

Bachelor of Engineering in Computer Engineering

Savitribai Phule Pune University

Relevant Coursework

Data StructuresOperating SystemsComputer NetworksWeb TechnologiesSoftware DesignDBMS
View Degree Certificate
Open Source

GitHub Projects

View All on GitHub
Academic Work

Research Papers

Textual Content Moderation using Supervised Machine Learning Approach

Revati Ganorkar, Gaurang Suki, Shubham Deshpande, Mayur Giri, Araddhana Deshmukh

ICINC 2019 — International Conference on Internet of Things, Next Generation Network & Cloud Computing2019

Proposed an efficient automated textual content moderation system to detect hate speech and offensive content on social networking sites using supervised machine learning. Addresses the limitations of manual moderation used by tech giants like Facebook and Microsoft, reducing harm to both users and content moderators.

DocBot: A Medical Consultant Chatbot using Deep Learning Approach

Gaurang Suki, Mayur Giri, Revati Ganorkar, Shubham Deshpande, Araddhana Deshmukh

Technical Journal of The Institution of Engineers (India), Vol. 42, Nov. 2018 — ISBN: 978-81-924990-6-22018

Proposed a robust 5-stage pipeline architecture for a medical consultancy chatbot using deep learning and seq2seq natural language processing. The model interacts with users in natural language, identifies symptoms, suggests probable diagnoses, and recommends relevant specialists — unlike existing platforms (e.g. WebMD) that limit free-form communication.

Proposed IoT Approach to Ameliorate Traffic Conditions

Shubham Deshpande, Revati Ganorkar, Mayur Giri, Gaurang Suki, Araddhana Deshmukh

IJIRCCE — International Journal of Innovative Research in Computer and Communication Engineering, Vol. 6, Issue 11, Nov. 20182018

Proposed a smart vehicular IoT system using MQTT (Message Queue Telemetry Transport) protocol to reduce road congestion and prevent accidents. The model uses advanced vehicle monitoring and sensor networks to keep drivers informed about traffic conditions and alert them to potential hazards in real time.

Smart Implanted NFC-based System to Expedite Medical Treatment

Shubham Deshpande, Gaurang Suki, Mayur Giri, Revati Ganorkar, Araddhana Deshmukh

IJPAM — International Journal of Pure and Applied Mathematics, Vol. 118, No. 24, 2018 — ISSN: 1314-33952018

Proposed an NFC chip implant system for patients that stores prioritized medical data (name, blood group, history, allergies) on-chip with secondary data on the cloud. A doctor can scan the chip to instantly retrieve patient details during emergencies, significantly reducing time before treatment begins.

A Lucrative Model for Harnessing the Power of Social Media in Disaster Management

Shubham Deshpande, Revati Ganorkar, Mayur Giri, Gaurang Suki, Araddhana Deshmukh

ICCPS 2018 — RMK College of Engineering and Technology, Chennai (1st Prize)2018

Proposed a platform that aggregates real-time information from YouTube, Twitter, and Facebook during disaster events, filters out misinformation and spam, and broadcasts SMS alerts to people in disaster-prone areas. Leverages social media's role as a dominant real-time communication channel to enhance disaster response.

Always Growing

Currently Learning

The best engineers never stop learning. Here's what's on my radar right now.

🧠

Agentic Workflows & Model Context Protocol (MCP)

Active

Building multi-step AI agents and integrating tools via MCP for real-world automation

Progress70%
📊

AI Evaluation & Observability

In Progress

Measuring LLM output quality, tracing agent runs, and building eval pipelines

Progress50%
🔗

LangGraph

In Progress

Designing stateful, cyclical agent graphs for complex multi-step reasoning tasks

Progress55%
🤖

LLM APIs & AI-Powered Applications

Active

Production integrations with OpenAI, Anthropic, and LangChain in real systems

Progress80%
What Others Say

Recommendations

I have had the pleasure of managing Gaurang at Cisco Spaces for 3 years, and I am consistently impressed by their abilities. Gaurang is a quick learner who grasps new concepts rapidly, making him an invaluable asset to our team and a great help to me personally. He excels under pressure, maintaining focus and delivering high-quality work even in challenging situations. Gaurang is not afraid to take on new tasks and consistently steps out of their comfort zone to tackle new challenges. Their proactive attitude and dedication have significantly contributed to our team's success. I highly recommend Gaurang for any role he chooses to pursue.

BL

Balu Loganathan

Software Engineering Manager · Cisco | Stanford, Certified Design Thinking

Gaurang and I worked closely on all (10+) applications in the Cisco Spaces suite. It was a pleasure whenever I was fortunate enough to work with Gaurang and I can say with confidence his growth from April 2023 – October 2024 has been exponential. Today, Gaurang is someone who will never say no to lending a hand, takes ownership of his deliverables from start to finish, and someone you can rely on (give and forget any quantity/complexity of work). His humble and calm demeanor make him a delight to work with. He would be an invaluable asset on any team.

SL

Sarneet Longia

Tech Lead · Cisco

Gaurang is a fantastic team player who makes collaboration seamless. He grasps project requirements quickly and is always willing to assist others. His ability to tackle complex issues and deliver solutions swiftly is truly commendable. Additionally, his strong communication skills and attention to detail ensure that projects run smoothly and efficiently.

VB

Veena Balasubramanya

Frontend Engineer · React.js · Redux · ES6 · JavaScript

Beyond the Screen

Hobbies & Interests

When I'm not building software, this is where you'll find me.

🏋️

Fitness & Weightlifting

Consistency in the gym mirrors consistency in code. Daily discipline.

🎮

Gaming

Strategy games sharpen problem-solving. Also, it's just fun.

🌍

Traveling

New places, new perspectives. Exploring cultures and cuisines.

📚

Reading

From fiction to tech — always a book nearby.

🍳

Cooking

Experimenting in the kitchen. Recipes are just algorithms.

🎵

Music

Lo-fi beats while coding. Also love playing guitar.

Get In Touch

Let's Connect

Whether you have an opportunity, a project idea, or just want to say hi — my inbox is always open.

Location

Fremont, CA