Loading Sequence 0%
iOS Developer • 3+ Years of Experience
Live on the App Store
Great to have you here.
Highlights
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.
Getting invited to WWDC 2026 felt surreal. It was one of those full-circle moments that reminded me why I chose iOS in the first place. For me, this invite is not just recognition — it is motivation to keep building thoughtful, high quality products and grow with the Apple developer community.
Selected Work
From concept to production — organized by domain.
Production iOS fitness platform for workout tracking, AI-powered plan generation, streak intelligence, HealthKit sync, and rich progress analytics with exportable reports.
A unified feed for developers aggregating Hacker News, Reddit, GitHub, RSS (including supply-chain and Salesforce/CRM verticals), and more. Cache-first loading powers full-bleed feed cards, while a smart layer adds dwell-time ranking, trending signals, mute/boost, inline discussions, related reading, and changelog diffs — all without third-party SDKs.
On-device multi-modal skin lesion classification app with camera/library scan, 3D body-location mapping, Grad-CAM interpretability, confidence gauges, and lesion learning workflows.
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.
AI-powered iOS app exploring creative possibilities with intelligent features and polished native UI.
Photography and storytelling app with beautiful image presentation and narrative features.
Clean, functional calculator app with elegant UI design and smooth interactions built in pure Swift.
About
I bring a hybrid profile across iOS engineering and data science, with a strong focus on product outcomes. Over the last 3+ years, I have worked on real-world mobile applications from idea to release, handled production issues, improved performance, and built features that directly improve user engagement. Alongside engineering, I am pursuing my Master's in Data Science at UMBC to design smarter product experiences using practical machine learning.
I have hands-on experience delivering iOS apps across different domains, including feature ownership, bug fixing, release cycles, and continuous improvements after launch. My work spans architecture planning, API integration, offline-first flows, testing, and performance tuning. I build with Swift, SwiftUI, UIKit, CoreData, CloudKit, and Firebase, and follow production-ready patterns like MVVM to keep codebases scalable and maintainable.
In parallel, I build practical data and ML solutions using Python, SQL, Scikit-Learn, TensorFlow, and PyTorch. My experience includes predictive modeling, anomaly detection, and analytics pipelines. I focus on bringing this intelligence into product workflows in ways that are clear and actionable.
Expertise
Elegant, performant native apps
From notebooks to insights
Experience
Deepening expertise in machine learning, statistical analysis, Python, R, SQL, and data-driven decision making. Working on academic ML projects including graduate admissions prediction and trading trend analysis.
Led iOS app development using MVC, MVVM, and Delegate patterns, improving architecture and maintainability. Optimized API requests cutting data retrieval time by 30%, increased user engagement by 20% via interactive SwiftUI animations, and implemented Codable-based JSON parsing reducing data processing time by 50%.
Developed new mobile apps across the full lifecycle. Collaborated with cross-functional teams on UI/UX design, API integration, and Git workflows. Gained deep experience with Swift, Xcode, generics, and code optimization.
Contributed to enterprise applications focused on performance and scalability. Worked in cross-functional teams to deliver client solutions and applied testing tools including Selenium.
Testimonials
"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.
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 — not just notebooks, but clean, reproducible pipelines.
Great team player who brings a solutions-first mindset. He localized our apps for multiple regions flawlessly and reduced code duplication by 30% with smart use of generics. Highly recommended.
Publications
A practical breakdown of how debounce and throttle work in Apple's Combine framework for reactive iOS development.
Dive into Apple's SwiftData framework and how it simplifies persistence in modern iOS apps.
Step-by-step guide to integrating system volume controls and AirPlay into your SwiftUI views.
Everything you need to know about making your iOS app speak multiple languages and adapt to regions.
How to integrate Google AdMob banner ads into your iOS project cleanly and effectively.
Build reusable, modular frameworks to share code across your iOS projects and teams.
Contact
Looking for an iOS developer with a data science edge? I'm in Baltimore, MD and available for full-time or remote work.