I work on web applications, data migrations, and software delivery. My experience spans Laravel and AWS, e-commerce experimentation, and applied machine learning.
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Block + Tackle · Atlanta
July 2026 — Present · Atlanta, United States
Block + Tackle
Current Position
Joined Block + Tackle in Atlanta in July 2026.
Helped maintain and fix backend bugs in content authoring software for a Fortune 1000 hospitality company, implement Azure CI/CD processes using Terraform and Docker, and support Databricks pipelines to chunk, clean, and generate data for large language models.
September 2020 — June 2026 · Boston, United States
Tribute Technology
Web platforms and software delivery
Worked across Laravel applications, AWS migrations, e-commerce experiments, GitHub Actions pipelines, and cross-team software releases.
June 2019 · Bangalore, India
CodePlex Technology Services
Content migration
Wrote importers that navigated clients’ existing websites and migrated obituary content onto the CFS platform using web scraping.
December 2018 · Chennai, India
Mindzen Inc
Conversational AI
Helped develop an AI-enabled chatbot proof of concept using Google’s Dialogflow platform.
July 2018 · Bangalore, India
Rao’s Infosoft Join
Recruitment research
Compared and tested machine learning algorithms to improve recruitment workflows and communication between companies, recruiters, and applicants.
Skills
Backend
Django RestLAMP StackLaravelCodeIgniterNode.jsPythonPyTorchVue.jsNext.jsRuby on Rails
Languages
PHPPythonJavaScriptReactJSCC++Java
Data / BI
MySQLTableauPostgreSQLMongoDB
Cloud / DevOps
Amazon Web ServicesAzureAnsibleTerraformGitHubSVN
Product / Observability
DataDogNew RelicOptimizelyA/B TestingStripe API IntegrationOpen AI API IntegrationAnaconda NavigatorJupyter NotebooksAWS CloudWatchLog Analytics
Development Processes
ClickUpAgileJiraSDLCKanban
Work Experience
Block + Tackle
July 2026 - Present · Atlanta, United States
Helped maintain the backend and fix bugs in content authoring software for a Fortune 1000 hospitality company.
Helped implement CI/CD processes for our platforms on Azure using Terraform and Docker.
Worked on implementing and supporting Databricks pipelines to chunk, clean, and generate data for our large language model infrastructure.
Tribute Technology
September 2020 - June 2026 · Boston, United States
Co-Developed a web application using the Laravel Framework that scrapes data from our clients old website to our systems during the onboarding process.
Worked on integrating new services, API, and features to our main web application to help enhance our customer's experience.
Worked as a Sustaining Engineer in rotations to help maintain and address customer-related issues.
Helped transition our development team to Agile and was assigned the role of scrum master.
Worked and designed a tool to facilitate the migration of data from our legacy environment to an environment on AWS.
Worked on AB Test Development on our e-commerce store to determine features that could help increase revenue and value for the organization.
Managed and worked on building a CI/CD pipeline using GitHub Actions.
Built a front-end service to create and update routing parameters for our website routing system.
Developed and launched a Shopify store in collaboration with external partners to distribute edible sympathy gifts, providing compassionate support to grieving families and driving e-commerce growth.
Responsible for the end-to-end software release process for the company's web platform, coordinating cross-functional teams to ensure seamless and timely deployments
Accelerated development for two internal teams, ensuring timely achievement of quarterly KPIs by implementing streamlined processes and cross-functional collaboration.
Guided our offshore teams to help migrate data from our legacy platforms to our new consolidated obituary platform, ensuring a timely achievement in providing customers with a better experience on our platform while improving the sites performance and simplifying the process of adding new changes to the obituary platform.
CodePlex Technology Services
June 2019 · Bangalore, India
Worked on writing importers to programmatically navigate clients old websites and import obituary content-related data using web scraping technology(HTML DOM parser) when customers are boarded on to the CFS's platform.
Mindzen Inc
December 2018 · Chennai, India
Helped develop an AI enabled chatbot for Mindzen for a Proof of Concept idea. It was made using Google's Dialogflow platform.
Rao's Infosoft Join
July 2018 · Bangalore, India
Conducted comparative analysis and testing of machine learning algorithms to optimize recruitment workflows and improve communication efficiency between companies, recruiters, and job applicants.
Projects
Melanoma Prediction Model Analysis Using DenseNet and CoATNet-3
This project implements a deep-learning pipeline for automated melanoma detection on the SIIM-ISIC skin lesion dataset. It leverages a pretrained CoAtNet-3 and DenseNet backbone augmented with patient metadata (age, sex, and anatomical site) and employs focal loss to address class imbalance. This analysis helped determine which model was more suitable to process and identify key features for a positive case of melanoma
Automated Agent to Solve Ravens Progressive Matrices
The Automated Agent was developed using Pillow and OpenCV to process and perform operations on the images from the Ravens Progressive Matrices to identify the relationship between the input images to generate the output image that the agent should select from a given set of potential answer.
Automated Stock Pricing Predictor
The Automated Stock Pricing Predictor is a machine learning program that uses historical stock data to predict the future stock prices of a given stock. It uses various machine learning algorithms like regression and reinforcement learning techniques like Q-Learning to predict the future stock prices from a given stock ticker from a Nasdaq dataset.
Housing Market Analysis
The Housing Market Analysis in the United States utilizes post-processed data from Zillow and Red Fin with an ARIMA model to predict the Affordability and Economic Conditions of the housing market for ZIP codes across the United States.
Advanced Traffic Management Using Machine Learning
Advanced Traffic Management is a project that uses ARIMA and Linear Regression to predict a 7 Day Average Traffic Density on a Auckland Traffic Dataset.
Prediction Of Stay in Hospitals
Prediction of Length of Stay in Hospitals is a machine learning program that is used to determine the patients length of stay in a hospital based on the symptoms of a patient and the existing patients in various hospitals. It uses various machine learning algorithms like regression and decision trees.
The Lone Traveller
The Lone Traveller is a travel website that provides information about various cities in India in a dynamic and transitional manner. It also uses HTML and CSS for the structure and styling of the login page and PHP is incorporated for Database Connection and Login Validation.
Achievements
Tribute Technology Innovator Award
Education
Masters in Computer Science Specializing in Artificial Intelligence | Georgia Institute of Technology (September 2023 - August 2026)
Bachelors of Technology | SRM Institute of Science and Technology — Kattankulathur (June 2016 - May 2020)
High School | Delhi Public School - Bangalore East (June 2015 - May 2016)
Middle School | Delhi Public School - Bangalore East (June 2013 - May 2014)
Contact me
What are you working on? Whether you have an idea to explore, a tricky problem to solve, or an opportunity to work together, I’d love to hear about it. Send me a message and let’s see what we can build.
Sumeet Omalur