• Led development of internal software systems supporting proposal production, talent evaluation, cost estimation, and financial operations for a multidisciplinary AEC engineering consulting firm.

• Built a proposal automation platform leveraging retrieval-augmented generation (RAG) and a multi-agent system to support compliant proposal production across clients and agencies.

• Developed a candidate evaluation and resume matching system using structured data representations and cosine similarity–based scoring to support technical hiring decisions.

• Created a Python- and Django-based application utilizing natural language processing (NLP) to convert handwritten employee timesheets into standardized datasets for payroll and internal reporting.

• Automated biweekly payroll processing through custom Python workflows, improving accuracy and reducing manual data handling for finance operations.

• Crafted a detailed document and worked on the software design model for vNext. Upgraded the architecture to use MVVM structure and SwiftUI, while also contributing to the vNow app in Swift and MVC.

• Designed and documented Testing environment for UI and Unit; allowed the team to run the app offline.

• Tailored FingerTap assessment for vNext in SwiftUI and constructed a touchProvider class in UIKit to capture gesture and streamlined publishers.

• Revised and obtained valuable reading file and parameters from USCOM Spirometry SDK submitted to data lake.

• Initiated a blood pressure measurement assessment that enables users to configure WithingsBPM Connect device and measure blood pressure.

• Integrated SwiftLint in the main code base and set up team rules.

• Made significant contributions to Github, including: 48% Code review, 27% Commits, 25% Pull requests.

• Collaborated with and led teams to define, design, and ship new features for different applications in the entertainment category.

• Identified and corrected bottlenecks and fixed bugs in Swift and Objective-C.

• Created apps with iOS frameworks such as Core Data, Core Animation, ARKit.

• Improved performance with offline storage, threading, and performance tuning.

• Connected iOS applications to back-end services using RESTful APIs.

• Mastered low-level C-based libraries such as Metal and implement them in iOS apps.

• Attained minimization of binary code using on-demand resources

• Developed and published two separate apps (“Amazing Acrylics”, “H-airbrush”) on the Apple store, trained a Deep Learning Model using Python to change nail and hair colors of a taken picture of a hand or head on the server.

• Developed iOS app “LiveBg Doodle” which lets you draw in Augmented Reality using various sorts of brushes, colors, and textures.

• Trained and experimented with different ML Models (Random Forest, NN, Association rules) on users' data gathered from multiple apps, increasing the revenue of the portfolio of apps and helping monetize them.

• Leveraged Machine Learning techniques in RapidMiner to build systems that process and derive insights from tons of data points.

• Created an iOS prototype for purpose of vehicle-to-phone communication using the Serial channel.

• Improved an existing OpenCV model to count vehicles passing a stoplight, enhancing accuracy.

• Data collection using data files for transportation research and analysis.

• Automating the process of report generation for a malicious email using Selenium Library in Python and APIs.