L

Lokesh Meena

CTO

Delhi, India3 yrs 8 mos experience
Highly StableAI Enabled

Key Highlights

  • Built streaming systems achieving sub-second latency
  • Improved engineering velocity by 30% and reduced overhead by 40%
  • Delivered production features used by millions of users
Stackforce AI infers this person is a B2C IoT and multimedia systems architect with expertise in high-scale platform engineering.

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Skills

Core Skills

Systems DesignScalabilityReal-time StreamingMobile Application DevelopmentIot PlatformsOn-device Ai

Other Skills

Performance TuningAPI DevelopmentNode.jsWebRTCHLS/DASHAndroidIoTMatter protocolJava DevelopmentTensorFlow LiteComputer VisionHTMLCascading Style Sheets (CSS)XMLAndroid NDK

About

Lead Engineer specializing in building large-scale Android, backend, and IoT platforms powering millions of users. I focus on designing high-performance, low-latency systems with strong ownership across architecture, scalability, and production delivery. Currently at Samsung SmartThings, I lead end-to-end system design across Android clients and backend services, including real-time streaming pipelines, APIs, and device communication layers. My work spans multimedia systems, distributed architectures, and Edge AI solutions. I bring deep expertise in: • Real-time streaming (WebRTC, HLS/DASH, media pipelines) • Scalable backend systems (Node.js, distributed APIs, event-driven systems) • Android performance engineering (startup optimization, memory, threading) • IoT platforms and Matter protocol • On-device AI (TensorFlow Lite, computer vision) Key achievements: • Built streaming systems achieving sub-second latency • Improved engineering velocity by 30% and reduced overhead by 40%+ • Optimized app performance (30% faster startup, 20% APK reduction) • Delivered production features used by millions of users • Designed cross-platform architectures across Android, iOS, and embedded systems I enjoy solving complex system design problems, optimizing performance-critical workflows, and mentoring engineers on scalable architecture. 📩 Open to leadership roles, system design challenges, and high-scale platform engineering opportunities.

Experience

3 yrs 8 mos
Total Experience
3 yrs 8 mos
Average Tenure
3 yrs 8 mos
Current Experience

Samsung india

3 roles

Lead Engineer

Promoted

Mar 2026Present · 2 mos · Bengaluru · Hybrid

  • Leading architecture for large-scale multimedia and IoT platforms serving millions of users
  • Driving end-to-end system design across Android clients, backend APIs, and streaming pipelines
  • Defining performance SLAs, reliability standards, and release strategies across teams
  • Improving engineering velocity by 30% through scalable architecture and process optimization
  • Mentoring engineers in system design, concurrency, and distributed systems
  • Aligning backend, platform, and AI teams on unified APIs and event-driven architectures
ScalabilityPerformance TuningSystems DesignAPI DevelopmentNode.js

Senior Software Engineer

Promoted

Feb 2024Mar 2026 · 2 yrs 1 mo · Bengaluru · Hybrid

  • Architected real-time streaming systems using WebRTC, HLS/DASH with sub-second latency
  • Designed full video pipeline (capture → encode → transport → decode → render)
  • Delivered 15+ production features including AI-based retrieval and motion detection
  • Built Matter-based IoT camera platform enabling cross-device interoperability
  • Reduced engineering overhead by 40% via cross-platform TypeScript plugin architecture
  • Improved playback reliability through caching, retry strategies, and backend optimization
  • Reduced APK size by 20% via modularization and resource optimization
  • Optimized CPU, memory, and network usage for performance-critical workflows
WebRTCHLS/DASHMobile Application DevelopmentAndroidReal-time streaming

Software Engineer

Aug 2022Jan 2024 · 1 yr 5 mos · Bengaluru · Hybrid

  • Developed Sound Sensor Plugin deployed across 100K+ IoT devices
  • Improved Android app startup latency by 30% through rendering and network optimization
  • Built TensorFlow Lite-based image processing pipeline with 4–5x faster inference
  • Enhanced system stability under constrained device environments via memory tuning
Mobile Application DevelopmentJava Development

Netaji subhas institute of technology

2 roles

Research Intern

Dec 2020Jan 2021 · 1 mo · New Delhi, Delhi, India

  • Worked under the guidance of Prof. Dr. Pinaki Chakraborty and Prof. Savita Yadav to verify Fitt's Law for android devices.

Research Intern

May 2020Jun 2020 · 1 mo · New Delhi, Delhi, India

  • Worked under the guidance of Prof. Dr. Pinaki Chakraborty and Prof. Savita Yadav to develop an android application to record and analyse response of children to hypertext.

Firststeps

Software Engineer

Jun 2020Aug 2020 · 2 mos · Faridabad, Haryana, India

HTMLCascading Style Sheets (CSS)

Education

Netaji Subhas Institute of Technology

Bachelor's degree — Computer Engineering

Jan 2018Jan 2022

Kendriya Vidyalaya

Senior Secondary Education

Apr 2017Mar 2018

Kendriya Vidyalaya

Secondary Education

Apr 2015Apr 2016

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