Chandrakala Kadiri
Senior Software Engineer | Automotive Embedded, ADAS & C++ • London, UK • k******************@gmail.com • +44*******271 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
Senior Software Engineer with 4+ years of experience architecting and delivering high-performance, low-latency C++ systems for automotive embedded and ADAS domains. Expertise in Modern C++ (11/14/17), STL, multithreading, memory management and performance optimisation for safety-critical, customer-facing systems. Proven track record across real-time recording/streaming, camera data capture and digital instrument clusters; effective in remote, cross-functional teams and client-facing delivery.
Technical Skills
Programming Languages: C,MATLAB
Frameworks and Libraries: STL,Qt
Cloud and DevOps: Linux,CI,CD
Testing: Unit testing frameworks,Integration testing,Regression testing,Static analysis
Tools and Methodologies: Visual Studio,GDB,Git,Jira
Skills: C++17,C++14,C++11
Embedded & Real-Time: RTOS,Embedded Systems,Low-latency Systems,Hardware-aware Design
Build & CI: Automated build and test pipelines
Concurrency & Performance: Multithreading,Concurrency,Lock-free patterns,Memory management,Profiling,Performance tuning
Domains & Concepts: ADAS,Automotive Embedded,Recording and Streaming Systems,Safety-critical Systems
Other Technical Exposure: Simulink
Work Experience
KPIT Technologies Ltd
Bengaluru, India
Senior Software Engineer – ADAS & C++
April 2023 – February 2025
Worked on automotive ADAS and recording/streaming systems for Tier-1 OEM clients, focusing on real-time sensor and camera data capture, storage and playback under strict latency and reliability constraints.
Tech Stack: C++17, Linux, RTOS, GDB, Git, CI, CD, Jira
- Designed and implemented high-performance C++17 components for a real-time recording system handling continuous sensor and video streams, focusing on throughput and data integrity under strict latency constraints.
- Developed and supported high-resolution camera data capture pipelines, managing metadata storage and validating video/image quality to meet OEM specifications for automotive deployments.
- Integrated high-bandwidth sensor inputs with storage subsystems on Linux and RTOS platforms; optimised I/O paths and buffering strategies to improve responsiveness and fault tolerance in production environments.
- Debugged and resolved complex race conditions and stability issues using GDB and Linux profiling tools, reducing runtime failures and improving overall system reliability in field builds.
- Refined error handling, logging and monitoring, documented technical specifications and contributed to CI/CD pipelines to improve observability and accelerate debugging across remote teams.
- Led sprint delivery and client-facing activities as technical lead, coordinating cross-functional work, driving end-to-end delivery and identifying process improvements that reduced rework and delivery delays.
Technodysis Technology
Bengaluru, India
C++ Developer – Real-Time STL Automation
October 2022 – March 2023
Developed automated test suites and performed regression/performance validation for STL components across compilers and platforms to improve correctness and portability.
Tech Stack: C++11, C++14, C++17, Atlas tooling, Static analysis, Git, CI, CD
- Designed and implemented automated C++11/14/17 test suites validating STL containers, maps and algorithms across multiple compilers and target platforms to increase correctness and portability.
- Executed regression and performance testing using Atlas tooling; analysed results and optimised legacy and contemporary C++ patterns to improve execution speed and stability.
- Conducted systematic static analysis and led peer code reviews to enforce best practices, reducing defects detected late in the delivery pipeline.
- Identified and resolved edge-case correctness and performance issues through focused refactoring and algorithmic improvements, increasing test coverage for high-assurance components.
- Collaborated with platform engineers to ensure library and compiler compatibility across target environments, improving cross-platform reliability.
- Integrated automated tests into CI pipelines and improved test automation workflows, reducing manual QA cycles and accelerating delivery feedback.
People Tech Group Inc (Client: General Motors)
Hyderabad, India
Junior Software Engineer – Digital Instrument Clusters
March 2021 – October 2022
Worked on digital instrument cluster software for General Motors, implementing C++/Qt rendering and simulation tooling for vehicle dashboard modules under real-time constraints.
Tech Stack: C++, Qt, Visual Studio, GDB, Git, Simulation tooling
- Implemented scalable C++ and Qt components and simulation tooling for GM digital dashboards, designing rendering pipelines and event-driven behavior to meet real-time constraints.
- Validated cluster screen modules including tile layouts, side gauges and color rendering, producing technical specifications and ensuring correct behaviour across multiple configurations.
- Developed cluster screen modules for camera, audio and gauges, iterating on designs to improve UX consistency and runtime responsiveness in vehicle firmware.
- Built and executed functional and regression tests in simulated environments to verify low-latency responses and stability prior to firmware integration.
- Debugged performance and correctness issues across C++/Qt code using GDB and Visual Studio tooling, improving responsiveness and reducing crash rates in production builds.
- Managed builds and version control with Visual Studio and Git in a distributed international codebase, coordinating integration tasks for regular production releases.
Digital Instrument Clusters People Tech Group
Education
BPP University
M.Sc. Management with Project Management • London, UK • June 2025
Vector India Institute
Post-Graduate Programme – Embedded Systems • India • March 2020
KV Subbareddy Engineering College
B.Tech in Electronics and Communications Engineering • India • April 2019
Certifications
Embedded Systems Programme — Vector India Institute
Achievements
- Best Coder client appreciation: Received client recognition for exceptional code quality and on-time delivery on safety-critical automotive projects.
- Led validation of GM digital instrument cluster variants: Resolved critical UI bugs and achieved full stability for cluster variants prior to release.
- Performance optimisation of Denso drive recorder solution: Recognised for improving video capture quality and data integrity through performance tuning and robustness enhancements.
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