iOS Developer Resume
Swift, SwiftUI, app architecture, App Store products, and mobile engineering roles.
Resume
Choose the version that fits the role.
iOS engineering or ML and data science.
Two focused resumes for recruiters and hiring teams, matched to the work shown across this portfolio.
ML / Data Science Resume
Applied machine learning, data science, analytics, modeling, and AI product roles.
Highlights
Milestones I'm proud of.
Built with focus and consistency.
First Prize Winner
CBIC was one of the most special moments in my journey. I presented my work, walked through the problem-to-solution story, and shared how I approach building practical products with real user impact. Winning First Prize gave me a huge confidence boost and reminded me why I love building at the intersection of innovation and execution.
WWDC Moments
From watching WWDC on a small screen in a small village in India to being invited by Apple to attend its prestigious developer conference in person, this moment means a lot to me. Being surrounded by the Apple developer community, experiencing the event up close, and meeting Tim Cook and Joz from Apple was incredible. It felt like a milestone for both my professional journey and personal growth, and it reminded me how far consistent curiosity, hard work, and belief can take you.
Featured Media
Stories beyond the portfolio.
Press, interviews, and recognition.
UMBC Stories
Meet a Retriever: Manikanta Sirumalla
UMBC shared the story behind my journey as an international data science graduate student, solo founder, and creator of RepTrack Pro.
YouTube Podcast
Founder Journey and RepTrack Pro
A podcast conversation about building as a student founder, turning an iOS product into a venture, and what I learned along the way.
Selected Work
Built to ship.
Built to scale.
From early idea to shipped product, organized by domain.
iOS Health & Fitness • Featured
RepTrack Pro
Production iOS fitness platform built as sole developer, combining deterministic training logic with constrained LLM generation, structured validation, Vision OCR imports, HealthKit sync, Apple Watch companion features, widgets, Live Activities, and StoreKit 2 subscriptions.
SwiftUISwiftDataHealthKitCoreMLVisionWatchKitStoreKit 2GroqOpenAI
1st
CBIC 2026
1,651
Exercises
139
Tests
SwiftUI • Developer Feed • Privacy-first
Tech Signal
A unified feed for developers that brings together Hacker News, Reddit, GitHub, RSS, supply-chain updates, Salesforce/CRM verticals, and more. Cache-first loading keeps the feed fast, while a smart layer adds dwell-time ranking, trending signals, mute and boost controls, inline discussions, related reading, and changelog diffs without third-party SDKs.
SwiftUISwiftDataNaturalLanguageStoreKit 2WidgetKitApp IntentsURL SchemesRSS & REST
30+
Sources
Local
Summaries
0
Third-party SDKs
iOS + On-Device AI
DermaFusion
M.S. capstone project that trained an EfficientNet-B4 skin-lesion classifier across 61,694 dermoscopy images, used leakage-safe patient-grouped splits, and exported the model to CoreML for on-device iOS inference with Grad-CAM-style interpretability.
SwiftUICoreMLPyTorchtimmTorchScriptcoremltoolsGrad-CAM
8
Classes
61,694
Images
0.806
Balanced Acc.
SwiftUI • Featured
NewsWave: News Aggregation
Multi-category news app with trending and keyword search, bookmarks, sharing, and custom animated tab bar. Integrated Firebase for auth and Firestore for real-time data.
SwiftUICombineCodableKingfisherFirebaseFirestore
6
Categories
Realtime
Updates
Smooth
Navigation
Swift
WhimAI
AI-powered iOS app exploring creative possibilities with intelligent features and polished native UI.
SwiftUIKitCoreML
AI
Powered
Native
UX
iOS
Focused
About
I build at the intersection of iOS engineering, machine learning, and product systems. Over the last 3+ years, I have shipped production mobile apps, built two App Store products, and worked across CoreML, SwiftUI, SwiftData, HealthKit, StoreKit 2, Vision OCR, and LLM-powered workflows. At UMBC, I am completing my M.S. in Data Science with a 3.95 GPA, focusing on ML systems, model evaluation, and applied AI that can move from notebooks into real products.
Experience & Mobile Engineering
I have hands-on experience delivering iOS apps across consumer, retail, fitness, and developer-tool domains. My work spans architecture planning, feature ownership, REST API integration, offline-first caching, test coverage, App Store release cycles, and performance tuning with Instruments. I build with Swift, SwiftUI, UIKit, Combine, SwiftData, Core Data, HealthKit, WatchKit, WidgetKit, Live Activities, StoreKit 2, Vision, CoreML, and production-ready MVVM patterns.
Data Science & AI Integration
In parallel, I build practical ML and AI systems with Python, SQL, PyTorch, TensorFlow/Keras, scikit-learn, XGBoost, pandas, NumPy, and statsmodels. My work includes deep-learning classifiers, churn prediction, leakage-safe evaluation, threshold optimization, CoreML deployment, LLM provider routing, structured-output validation, and deterministic safeguards that keep AI features useful in real product workflows.
Expertise
Two domains.
One engineer.
iOS Development
Production native apps from idea to release
SwiftSwiftUIUIKitCombineasync/awaitSwiftDataCore DataCoreMLHealthKitWatchKitWidgetKitLive ActivitiesStoreKit 2VisionPDFKitXCTestInstrumentsApp Store Connect
Data Science & ML
ML systems that move from notebooks into products
PythonSQLPyTorchTensorFlow/Kerasscikit-learnXGBoostpandasNumPystatsmodelsGridSearchCVROC/PR AnalysisThreshold OptimizationLeakage PreventionPatient-Grouped SplitsCoreML DeploymentTorchScriptLLM RoutingStructured Validators
Experience
Where I've
made impact.
Jan 2025 to Present
University of Maryland, Baltimore County
M.S. in Data Science · Baltimore, MD
Pursuing an M.S. in Data Science with a 3.95 GPA, focused on machine learning systems, applied AI, statistical modeling, and production-minded experimentation. Academic and research work includes skin-lesion classification, telecommunications churn modeling, and hybrid AI systems for RepTrack Pro.
GPA 3.95ML SystemsApplied AIResearch Writing
Aug 2022 to Dec 2024
ZetoStudio
iOS Developer · Hyderabad, India
Owned end-to-end delivery of production iOS apps in Swift and SwiftUI, from product specs through App Store release. Built modular MVVM features with protocol-oriented design, dependency injection, REST integrations, async/await, Combine, offline-first caching, XCTest coverage, and Instruments-based performance tuning.
SwiftUIMVVMOffline CachingXCTestInstruments
Jul 2021 to Jul 2022
Grid Dynamics
iOS Developer · Hyderabad, India
Built customer-facing iOS features for retail and e-commerce clients in Swift and UIKit, including catalog browsing, checkout, and account flows. Integrated REST APIs, push notifications, analytics SDKs, and contributed to shared internal components across Agile delivery cycles.
UIKitREST APIsAgile DeliveryShared Components
Oct 2021 to Jan 2022
Cognizant
Associate Software Engineer · Hyderabad, India
Contributed to enterprise applications focused on performance and scalability. Worked in cross-functional teams to deliver client solutions and applied testing tools including Selenium.
Enterprise AppsTesting & QA
Testimonials
What people say.
About working with me.
★★★★★
"Manikanta consistently delivered clean, well-architected iOS code that was easy to maintain and extend. His SwiftUI animations boosted user engagement by 20%, and his API optimizations cut data retrieval time by 30%. A reliable, detail-oriented engineer."
★★★★★
Manikanta picked up our full development workflow remarkably fast during his internship. He was shipping production-quality features by week three and his code reviews were consistently thorough.
★★★★★
Mani brought all the talent and hard work. I just helped with the storytelling. He was open to feedback, kept refining the pitch, and it was incredibly exciting to share in the moment when he was announced as the winner.
★★★★★
His ability to combine iOS expertise with a strong data science foundation makes him stand out. The ML projects he's built in our program show real engineering maturity, with clean and reproducible pipelines behind the work.
★★★★★
Manikanta has shown strong applied ML judgment across both classical machine-learning work and product-oriented modeling. In his telecommunications churn project and later RepTrack Pro modeling discussions, he demonstrated thoughtful model selection, metric-driven evaluation, and a clear understanding of how ML systems can scale into real-world applications.
Publications
Writing on Medium.
Combine
Demystifying Debounce and Throttle in Combine Framework
A practical breakdown of how debounce and throttle work in Apple's Combine framework for reactive iOS development.
SwiftData
Exploring SwiftData: Enhancing Data Management in iOS Applications
Dive into Apple's SwiftData framework and how it simplifies persistence in modern iOS apps.
SwiftUI
How to Implement Native Volume Controls and AirPlay Button in SwiftUI
Step-by-step guide to integrating system volume controls and AirPlay into your SwiftUI views.
Localization
A Guide to Localizing Your iOS Applications
Everything you need to know about making your iOS app speak multiple languages and adapt to regions.
Monetization
Google Banner Ads in iOS Apps
How to integrate Google AdMob banner ads into your iOS project cleanly and effectively.
Frameworks
Creating Custom iOS Frameworks
Build reusable, modular frameworks to share code across your iOS projects and teams.
Contact
Let's build
something great.
Looking for an iOS developer with a data science edge? I'm in Baltimore, MD and available for full-time or remote work.