Kashan Akram

Software Engineer

India1 yr 8 mos experience

AI Enabled

Key Highlights

Over 5 years of diverse programming experience.
Expert in Kotlin and architectural solutions.
Proven track record of optimizing app performance.

Stackforce AI infers this person is a Mobile Application Development expert with a strong focus on Kotlin and system architecture.

Contact

Skills

Core Skills

KotlinJava

Other Skills

AIAPIAndroid SDKAndroidMobile Application DevelopmentAndroid DevelopmentJetpack ComposeC++Data Structures & AlgorithmsAlgorithm AnalysisProblem Solving

About

Hello all! I'm Kashan, a Software Engineer who refuses to settle for mediocre code. I bring over 5 years of experience in programming across languages such as C, C++, C#, React, Java, Kotlin, Dart, Javascipt, Typescript, Python, SQL and KQL, along with exceptional problem solving skills. My expertise extends far beyond just developing user-facing flows; I also specialize in engineering architectural solutions that enhance system reliability, optimize performance, enforce scalable design patterns, integrate AI-driven toolings and frameworks, unblock cross-team dependencies, and streamline developer productivity, ensuring that both the app and the development process are efficient, maintainable, and high-performing.

Experience

Microsoft

Software Engineer

Dec 2025 – Present · 4 mos · Noida, Uttar Pradesh, India

Air india limited

Android Engineer

Aug 2024 – Dec 2025 · 1 yr 4 mos · Kochi, Kerala, India

SDE for Air India's Android app (5 million+ downloads, a 4.7 rating and has won multiple awards most notably The Red Dot).
Introduced AI agents using Kotlin Koog Framework inside the codebase that automate documentation, enforce architecture, validate dependencies, and generate tests, increasing team throughput by ~30% and shortening release cycles by ~20%.
Contributed to the architecture and delivery of Authentication SDK (with 2-factor auth & token auto-refresh mechanism) for User Profile revamp, serving 2M+ users, and reduced abrupt access-token expiry logouts by 15%.
Engineered a centralized API‑failure telemetry in the app's network layer that auto-emit failure metadata to Adobe Analytics, instrumenting 100+ endpoints and delivering 100% real‑time visibility for Data & Analytics team with zero caller overhead.
Owned development of critical user-flows across Native Check-In (Regulatory Information - used by ~1500 travelers daily and UPI Payments - driving ~60% of Ancillary Revenue) and User Profile (Travel Documents and OTP Verification) - serving millions of users.
Took initiative to standardize domain layer with a generic Use Case framework (Synchronous/Asynchronous/Flow-based executions), reducing boilerplate by ~30% and enforcing Clean Architecture + Shared Patterns Design.
Optimized memory usage across the app, trimming ~100MB from the RAM footprint and improving runtime stability.

KotlinJava