vivek nunia — Software Engineer

👋 Hello there! I’m Vivek Nunia, your friendly neighborhood software engineer with a knack for turning caffeine into code. I hold a B.Tech. in Electronics and Communication Engineering, but let’s be honest—coding is where the real fun begins! 🚀 Qualcomm: I didn’t just engineer a Data Mining Framework; I taught it to squeeze every last byte out of AWS so well that our bills started weeping. Cutting costs by 60%? Just another day at the office—or as I like to call it, finding a treasure chest of loose change under the couch cushions. I also led a web UI project that turbocharged user integration by 10x and slashed onboarding time from a painful 45 minutes to a breezy 5. Because, honestly, who has time for that? 🔍 McAfee: Before Qualcomm, I was at McAfee, where I automated API testing to handle over 10 million queries daily. No bugs on my watch! I like to think of it as giving the internet a little tune-up. 📊 Amazon: At Amazon, I enhanced search functionalities and developed an AWS QuickSight Dashboard. The dashboard was so good, it could probably find your lost keys if you asked nicely. 📈 Omdena: My journey started at Omdena, where I led a data collection team that revealed a 50% spike in Gender-Based Violence during COVID-19. It wasn’t easy, but the data we gathered helped drive some much-needed conversations. 💻 Skills: I bring to the table a toolkit filled with Python, Java, C++, Spring, Kubernetes, Docker, and more. Whether it's optimizing a data pipeline or leading a UI overhaul, I'm always ready to dive in and make an impact. Plus, I like to think I have a pretty good sense of humor, which comes in handy when debugging. So, if you’re looking for someone who blends technical prowess with a dash of humor and a lot of innovation, let’s connect! 🤝 Let’s code the future together! 🌟

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in data mining and user experience optimization.

Location: Hyderabad, Telangana, India

Experience: 3 yrs 10 mos

Skills

Data Mining
Aws
User Experience
Api Testing
Dashboard Development
Data Collection

Career Highlights

Reduced onboarding time from 45 minutes to 5 minutes.
Engineered a data mining framework processing over 10TB daily.
Automated API testing handling over 10 million queries daily.

Work Experience

Google

Software Engineer (1 yr 3 mos)

Qualcomm

Software Engineer (1 yr 9 mos)

McAfee

Software Engineer (5 mos)

Amazon

SDE Intern at Finance Technology (5 mos)

LUSIP-2020

machine learning (3 mos)

Education

Bachelor's degree at The LNM Institute of Information Technology

vivek nunia

Software Engineer

Hyderabad, Telangana, India3 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Reduced onboarding time from 45 minutes to 5 minutes.
Engineered a data mining framework processing over 10TB daily.
Automated API testing handling over 10 million queries daily.

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in data mining and user experience optimization.

Contact

vivek.nunia@gmail.com LinkedIn

Skills

Core Skills

Data MiningAwsUser ExperienceApi TestingDashboard DevelopmentData Collection

Other Skills

AWS QuickSightAmazon QuickSightAmazon Web Services (AWS)Apache KafkaAutomationBeautiful SoupData AnalysisData Mining FrameworkDataset AggregatorDockerElasticsearchGitJavaJenkinsMySQL

About

Experience

Google

Software Engineer

Dec 2024 – Present · 1 yr 3 mos · Hyderabad, Telangana, India · Hybrid

Qualcomm

Software Engineer

Jan 2023 – Oct 2024 · 1 yr 9 mos · Hyderabad, Telangana, India · Hybrid

Designed a flexible data mining framework parsing 10TB+/day, enabling users to customize configurations for parsing unstructured data into structured formats. The analysis is easily viewed on QuickSight, simplifying machine learning model development..
Led a 5-phase web UI enhancement initiative, resulting in seamless user onboarding, and achieving a 10x increase in new user integration onto the framework.
Automated framework’s On-Boarding pipeline, slashing on-boarding time from 45 mins to just 5 mins.
Contributed to framework compaction efforts, achieving a noteworthy cost reduction of up to 60% (> $100k pm) on the AWS.
Designed and implemented Dataset Aggregator framework that allows users to aggregate diverse datasets with custom computations based on user configurations. This reduced 50% processing on on-premises machines for computations instead of relying solely on AWS.
Revitalized the framework by spearheading the development of the Extended Parser, adding Protobuf and Text parsing capabilities and ensuring scalability and extensibility. Successfully scaled the data mining cabiability from 1 to 3 data fromats.

Data Mining FrameworkAWSWeb UI EnhancementOnboarding AutomationDataset AggregatorData Mining

Mcafee

Software Engineer

Aug 2022 – Jan 2023 · 5 mos · India

Weekly Manual Testing of APIs and debugging the bugs found in the new builds.
Automation of testing of APIs using Nodejs which handles over 10 million queries each day.

API TestingNode.jsAutomation

Amazon

SDE Intern at Finance Technology

Jan 2022 – Jun 2022 · 5 mos · India

Created an AWS Quicksight Dashboard to show all payment-related information and added filters to search vendor names, vendor numbers, payments in a time period for FinOps.
Improved the search functionality within the visibility web app, enabling users to search for invoice information by entering relevant search fields in the search bar resulting in reduced search time for the user.
Introduced a status bar to provide instant visibility into the invoice status, minimizing the user’s effort from 5 clicks to just 1 click.

AWS QuickSightSearch FunctionalityDashboard Development

Lusip-2020

machine learning

May 2020 – Aug 2020 · 3 mos · Jaipur, Rajasthan, India

Team Lead for the data collection task to find conclusions on increase in Gender Based Violence during Covid period.
Created relevant Datasets of 2GB+ by scrapping raw data from social media platforms like Twitter and youtube using selenium, Beautiful Soup and Twint Scraper.
Analysed scrapped text data which showed 50% increase in the GBV.

Data CollectionSeleniumBeautiful SoupData Analysis